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With our guiding principles for remote teaching as flexibility, generosity, and transparency, we know that there is no one solution for assessment that will meet all faculty and student needs.  From this perspective, the primary concern should be assessing how well students have achieved the key learning objectives and determining what objectives are still unmet. It may be necessary to modify the nature of the exam to allow for the differences of the remote environment. This document, written for any instructor who typically administers an end-of-semester high-stakes final exam, addresses how best to make those modifications.  In thinking about online exams, and the current situation for remote teaching, we recommend the following approaches (in priority order) for adjusting exams: multiple lower-stakes assessments, open-note exams, and online proctored exams.  When changes to the learning environment occur, creating an inclusive and accessible learning experience for students with disabilities should remain a top priority. This includes providing accessible content and implementing student disability accommodations, as well as considering the ways assessment methods might be affected.  
 
Faculty and students should be prepared to discuss accommodation needs that may arise. The team at MSU Resource Center for Persons with Disabilities (RCPD) will be available to answer questions about implementing accommodations. Contact information for Team RCPD is found at https://www.rcpd.msu.edu/teamrcpd. Below you will find a description of each of the recommendations, tips for their implementation, the benefits of each, and references to pertinent research on each.
There are three primary options*: 

Multiple lower-stakes assessments (most preferred)  
Open note exams  (preferred)  
Online proctored exams (if absolutely necessary)

*Performance-based assessments such as laboratory, presentation, music, or art experiences that show proficiency will be discussed in another document



Multiple lower-stakes assessments
Description: The unique circumstances of this semester make it necessary to carefully consider your priorities when assessing students. Rather than being cumulative, a multiple assessment approach makes assessment an incremental process. Students demonstrate their understanding frequently, and accrue points over time, rather than all at once on one test. Dividing the assessment into smaller pieces can reduce anxiety and give students more practice in taking their exams online.  For instance, you might have a quiz at the end of each week that students have to complete. Each subsequent quiz can (and should) build on the previous one, allowing students to build toward more complex and rigorous applications of the content. Using this approach minimizes your need to change the types of questions that you have been asking to date, which can affect student performance (e.g. if you normally ask multiple-choice questions, you can continue to do so).   For the remainder of the semester, use the D2L quizzes tool to build multiple smaller assessments. Spread out the totality of your typical final exam over the month of April. This can be as simple as dividing a 100 question final exam into eight 12-question “synthesis activities” that students complete bi-weekly.
Benefits as noted from the literature: 

No significant differences were observed in terms of keystroke information, rapid guessing, or aggregated scores between proctoring conditions;
More effective method for incentivizing participation and reading; 
Encourages knowledge retention as each subsequent assessment builds on the last

Rios, J. A., & Liu, O. L. (2017). Online proctored versus unproctored low-stakes internet test administration: Is there differential test-taking behavior and performance?. American Journal of Distance Education, 31(4), 226-241. https://www.tandfonline.com/doi/abs/10.1080/08923647.2017.1258628  Schrank, Z. (2016). An assessment of student perceptions and responses to frequent low-stakes testing in introductory sociology classes. Teaching Sociology, 44(2), 118-127. https://journals.sagepub.com/doi/abs/10.1177/0092055X15624745  VanPatten, B., Trego, D., & Hopkins, W. P. (2015). In‐Class vs. Online Testing in University‐Level Language Courses: A Research Report. Foreign Language Annals, 48(4), 659-668. https://onlinelibrary.wiley.com/doi/abs/10.1111/flan.12160 
 
Open note exams 
Description: Open note assessments allow students to refer to the Internet and other materials while completing their assessments. By design, this disincentives academic dishonesty. Often instructors put time parameters around open note exams. These types of exams also lend themselves to collaborative work in which multiple students work together to complete the assessment. With an open note strategy, you can keep your general exam schedule and point structure, but you may need to revise questions so they are less about factual recall and more about the application of concepts.  For instance you might give students a scenario or case study that they have to apply class concepts to as opposed to asking for specific values or definitions. If you plan to make such changes, communicate your intent and rationale to you students prior to the exam.  One effective open note testing technique is to use multiple-true/false questions as a means to measure understanding. These questions (called “multiple selection” questions in D2L) pose a scenario and prompt students to check all the boxes that apply. For example, students may be prompted to read a short case or lab report, then check all statements that are true about that reading. In this way a single question stem can assess multiple levels of complexity and/or comprehension. 
Benefits as noted from the literature: 



Open-book exams and collaborative exams promote development of critical thinking skills. 
Open-book exams are more engaging and require higher-order thinking skills. 
Application of open-book exams simulates the working environment. 
Students prefer open-book exams and report decreased anxiety levels. 
Collaborative exams stimulate brain cell growth and intricate cognitive complexes.  



Johanns, B., Dinkens, A., & Moore, J. (2017). A systematic review comparing open-book and closed-book examinations: Evaluating effects on development of critical thinking skills. Nurse education in practice, 27, 89-94. https://www.sciencedirect.com/science/article/abs/pii/S1471595317305486
 
Couch, B. A., Hubbard, J. K., & Brassil, C. E. (2018). Multiple–true–false questions reveal the limits of the multiple–choice format for detecting students with incomplete understandings. BioScience, 68(6), 455-463. https://doi.org/10.1093/biosci/biy037 
 
Implementation for multiple lower-stakes and open note assessment strategies: 

Timed vs. untimed: On the whole, performance on timed and untimed assessments yields similar scores. Students express greater anxiety over timed assessments, while they view untimed assessments as more amenable to dishonest behavior. 

NOTE: If you typically have a time limit on your face-to-face assessments, increase it by 20% to allow for the added demands the remote environment places on students. </li >


If the exam is meant to be taken synchronously, remember to stay within your class period. Adjust the length of the exam accordingly.
Reduced scope: Decreasing content covered in the exam may be necessary to create an exam of appropriate length and complexity, given the unique circumstances this semester. 
Question pools: Create a pool of questions, and let D2L randomly populate each student’s quiz. This helps reduce dishonest behavior 

For example, a 10 question quiz might have 18 total questions in the pool, 10 of which are randomly distributed to each student by D2L. 


Randomize answer order: In questions in which it makes sense, have D2L randomize the order in which the answer options appear. 
Individual question per page: This can reduce instances of students taking the assessment together. It is even more effective when question order is randomized and a question pool is used. <//li>
Honor code attestation: Give students an opportunity to affirm their intent to be honest by making question one of every assessment a 0-point question asking students to agree to an honor code.  You can access the MSU Honor Code: https://www.deanofstudents.msu.edu/academic-integrity 
Live Zoom availability: In D2L Quizzes, set a time window during which the assessment will be available to students. 
Hold a live open office hours session in Zoom at some point during that window, so that students who want to can take the assessment while they have direct access to you - this way they can ask questions if any arise. 

Ultimately, our guiding principles for remote teaching are flexibility, generosity, and transparency.  Try to give students as much of an opportunity to demonstrate their knowledge as possible.  

Consider allowing multiple attempts on an assessment. 
When conditions allow, consider allowing multiple means of expression. 
Can students choose to demonstrate their knowledge from a menu of options

M/C test
Written response
Video presentation 
Oral Exam (via Zoom) 


Consider giving students choices. Perhaps they can opt out of answering a question or two. Perhaps they can choose which of a series of prompts to respond to. Perhaps students can waive one test score (to help accomodate for their rapidly changing environments) 

Proctored assessments 
Description: Respondus Lockdown Browser and Respondus Monitor are tools for remote proctoring in D2L. More information is available at https://help.d2l.msu.edu/node/4686. Please consider whether your assessments can be designed without the need for Respondus. While Respondus may be helpful in limited circumstances (e.g., when assessments must be proctored for accreditation purposes), introducing a new technology may cause additional stress for both students and instructors, and academic integrity is still not assured.   High-stakes exams (those that are a large percentage of a student’s grade) that use new technologies and approaches can decrease student performance and may not reflect students’ understanding of the material.  Please do not use an online proctored approach unless your assessment needs require its use.   
 
Benefits: 
Increases the barrier to academic dishonesty. Allows for use of existing exams (assuming they are translated in D2L’s Quizzes tool). 
Implementation:

Any online proctored exam must be created and administered using D2L’s Quizzes tool. 
Prior to offering a graded proctored exam, we strongly recommend that you administer an ungraded (or very low-stakes) practice test using the proctoring tool. 
Clear communication with students about system and hardware requirements and timing considerations is required. 
MSU has gained temporary no-cost access to a pair of online proctoring tools provided by Respondus: https://help.d2l.msu.edu/node/4686 
Respondus Lockdown Browser requires that students download a web browser.
When they click into your exam, the Lockdown Browser opens, and prevents users from accessing anything else on their computer. 
Respondus Monitor requires use of Respondus Lockdown Browser and a webcam.
Students are monitored via the webcam while they complete the exam in Lockdown Browser. 

Additional Resources: 

Remote Assessment Quick Guide 
Remote Assessment Video Conversation 
D2L Quizzes Tool Guide
Self-training on D2L Quizzes (login to MSU’s D2L is required; self-enroll into the training course) 

 References: Alessio, H.M.; Malay, N.; Mauere, K.; Bailer, A.J.; & Rubin, B.(2017) Examining the effect of proctoring on online test scores, Online Learning 21 (1)  Altınay, Z. (2017) Evaluating peer learning and assessment in online collaborative learning environments, Behaviour & Information Technology, 36:3, 312-320, DOI: 10.1080/0144929X.2016.1232752 
Couch, B. A., Hubbard, J. K., & Brassil, C. E. (2018). Multiple–true–false questions reveal the limits of the multiple–choice format for detecting students with incomplete understandings. BioScience, 68(6), 455-463. https://doi.org/10.1093/biosci/biy037  Cramp, J.; Medlin, J. F.; Lake, P.; & Sharp, C. (2019) Lessons learned from implementing remotely invigilated online exams, Journal of University Teaching & Learning Practice, 16(1).  Guerrero-Roldán, A., & Noguera, I.(2018) A Model for Aligning Assessment with Competences and Learning Activities in Online Courses, The Internet and Higher Education, vol. 38, pp. 36–46., doi:10.1016/j.iheduc.2018.04.005. 
Johanns, B., Dinkens, A., & Moore, J. (2017). A systematic review comparing open-book and closed-book examinations: Evaluating effects on development of critical thinking skills. Nurse education in practice, 27, 89-94. https://www.sciencedirect.com/science/article/abs/pii/S1471595317305486  Joseph A. Rios, J.A. & Lydia Liu, O.L. (2017) Online Proctored Versus Unproctored Low-Stakes Internet Test Administration: Is There Differential Test-Taking Behavior and Performance?, American Journal of Distance Education, 31:4, 226-241, DOI: 10.1080/08923647.2017.1258628 Schrank, Z. (2016). An assessment of student perceptions and responses to frequent low-stakes testing in introductory sociology classes. Teaching Sociology, 44(2), 118-127. https://journals.sagepub.com/doi/abs/10.1177/0092055X15624745  Soffer, Tal, et al. “(2017) Assessment of Online Academic Courses via Students' Activities and Perceptions, Studies in Educational Evaluation, vol. 54, pp. 83–93., doi:10.1016/j.stueduc.2016.10.001. 
Tan, C.(2020) Beyond high-stakes exam: A neo-Confucian educational programme and its contemporary implications, Educational Philosophy and Theory, 52:2, 137-148, DOI: 10.1080/00131857.2019.1605901 
VanPatten, B., Trego, D., & Hopkins, W. P. (2015). In‐Class vs. Online Testing in University‐Level Language Courses: A Research Report. Foreign Language Annals, 48(4), 659-668. https://onlinelibrary.wiley.com/doi/abs/10.1111/flan.12160 

(Photo by Steve Johnson on Unsplash )
You can also access the Generative AI Syllabus Guide Playlist with this content broken down into the following sections. Table of Contents:

MSU Guidance and [Non]Permitted Uses
Developing and Communicating a Course-level Generative AI Use policy
Example Syllabus Statements for the Use of AI Tools in Your Course

Design For Generative AI (restrict, permit, require)
Design Around Generative AI (ban)


Example Statements from Current USA, Higher Education Educators
Developing your Scholarly and Ethical Approaches to Generative AI
Beyond Syllabi Language
Additional considerations to help you develop your generative AI philosophy (Watkins, 2022)
References

The following MSU-specifics should be used to inform your decisions...
Overall guidance: We collectively share the responsibility to uphold intellectual honesty and scholarly integrity. These are core principles that may be compromised by the misuse of GenAI tools, particularly when GenAI-generated content is presented as original, human-created work.  
Permitted uses in Teaching & Learning: Instructors are expected to establish a course-specific guidance that defines the appropriate and inappropriate use of GenAI tools.

Students may only use GenAI tools to support their coursework in ways explicitly permitted by the instructor.  

Non-permissible uses: 

Do not Use GenAI to deliberately fabricate, falsify, impersonate, or mislead, unless explicitly approved for instruction or research in a controlled environment.
Do not Record or process sensitive, confidential, or regulated information withnon-MSU GenAI tools.
Do not Enter FERPA-protected student records, PII, PHI, financial, or HR data into unapproved tools; comply with MSU’s data policy and all regulations.
Do not Use export-controlled data or CUI with GenAI tools unless approved for MSU’s Regulated Research Enclave (RRE).

Developing and Communicating a Course-level Generative AI Use policy 
A well-prepared course should be designed for ("restrict", "permit" or "require") or designed around ("ban") generative AI. Courses designed for AI should detail the ways and degrees to which generative AI use will be incorporated into activities and assessments. Courses designed for AI may incorporate AI for some activities and not others and depending on course AI may be explicitly excluded or included at different stages. Courses designed around AI may discuss impacts of generative AI as a topic but expectations are that students will not use these types of tools, and the course should be intentionally designed such that the use of generative AI would either not be conducive to the completion of assessments and activities, or such that the attempt to do so would prove overly cumbersome. 
Regardless of your approach, communicating your expectations and rationale to learners is imperative.
Set clear expectations. Be clear in your syllabus about your policies for when, where, and how students should be using generative AI tools, and how to appropriately acknowledge (e.g., cite, reference) when they do use generative AI tools. If you are requiring students to use generative AI tools, these expectations should also be communicated in the syllabus and if students are incurring costs, these should be detailed in the course description on the Registrar’s website. 
Regardless of your approach, you might include time for ethics discussions. Add time into your course to discuss the ethical implications of chatGPT and forthcoming AI systems. Talk with students about the ethics of using generative AI tools in your course, at your university, and within your discipline or profession. Don’t be afraid to discuss the gray areas where we do not yet have clear guidance or answers; gray areas are often the places where learning becomes most engaging.
Example Syllabus Statements for the Use of AI Tools in Your Course 
There is no “one size fits all policy” for AI uses in higher education. Much like attendance/participation policies, GenAI course-level rules and statements will be determined by individual instructors, departments, and programs. The following resource is provided to assist you in developing coherent policies on the use of generative AI tools in your course, within MSU's guideline. Please adjust these examples to fit your particular context. Remember communication of your course generative AI policies should not only be listed in your syllabus, but also explicitly included  in assignment descriptions where AI use is allowed or disallowed. 
It is your responsibility as instructor to note and explain your individual course-level rule. A conversation with your department is highly recommended so that generative AI use in the classroom reflects broader use in the unit and  discipline. If you have specific questions about writing your course rules, please reach out to the Center for Teaching and Learning Innovation. 
Design For Generative AI
Restrict [This syllabus statement is useful when you are allowing the use of AI tools for certain purposes, but not for others. Adjust this statement to reflect your particular parameters of acceptable use. The following is an example.] 
Example1:  

The use of generative AI tools (e.g. ChatGPT, Dall-e, etc.) is permitted in this course for the following activities:

[insert permitted your course activities here*]


The use of generative AI tools is not permitted in this course for the following activities:

[insert not permitted your course activities here*]


You are responsible for the information you submit based on an AI query (for instance, that it does not violate intellectual property laws, or contain misinformation or unethical content). Your use of AI tools must be properly documented and cited in order to stay within university policies on academic integrity and the Spartan Code of Honor Academic Pledge.

Example2: Taken, with slight modification, from Temple University’s Center for the Advancement of Teaching  to demonstrate the kinds of permitted/restricted activity an instructor could denote.
The use of generative AI tools (e.g. ChatGPT, Dall-e, etc.) is permitted in this course for the following activities: 



Brainstorming and refining your ideas; 
Fine tuning your research questions; 
Finding information on your topic; 
Drafting an outline to organize your thoughts; and 
Checking grammar and style. 



The use of generative AI tools is not permitted in this course for the following activities: 



Impersonating you in classroom contexts, such as by using the tool to compose discussion board prompts assigned to you or content that you put into a Zoom chat. 
Completing group work that your group has assigned to you, unless it is mutually agreed within your group and in alignment with course policy that you may utilize the tool. 
Writing a draft of a writing assignment. 
Writing entire sentences, paragraphs or papers to complete class assignments. 



You are responsible for the information you submit based on an AI query (for instance, that it does not violate intellectual property laws, or contain misinformation or unethical content). Your use of AI tools must be properly documented and cited in order to stay within university policies on academic integrity and the Spartan Code of Honor Academic Pledge. For example, [Insert citation style for your discipline. See these resources for APA guidance, and for other citation formats.]. Any assignment that is found to have used generative AI tools in unauthorized ways [insert the penalty here*]. When in doubt about permitted usage, please ask for clarification. 
 
Use permitted [This syllabus statement is useful when you are allowing, and perhaps encouraging, broad use of generative AI tools. Adjust this statement to reflect your particular parameters of acceptable use in your course. The following is an example.] 
Example:
You are welcome to use generative AI tools (e.g. ChatGPT, Dall-e, etc.) in this class as doing so aligns with the course learning goal [insert the course learning goal use of AI aligns with here*]. You are responsible for the information you submit based on an AI query (for instance, that it does not violate intellectual property laws, or contain misinformation or unethical content). Your use of AI tools must be properly documented and cited in order to stay within university policies on academic integrity and the Spartan Code of Honor Academic Pledge.
Use required [This syllabus statement is useful when you have certain assignments that will require that students use generative AI tools. Adjust this statement to reflect your particular parameters of acceptable use. The following is an example.] 
Example:
You will be expected to use generative AI tools (e.g. ChatGPT, Dall-e, etc.) in this class as doing so aligns with the course learning goal [insert the course learning goal use of AI aligns with]. Our class will make use of the [insert name of tool(s) here*] tool, and you can gain access to it by [insert instructions for accessing tool(s) here*]. You are responsible for the information you submit based on an AI query (for instance, that it does not violate intellectual property laws, or contain misinformation or unethical content). Your use of AI tools must be properly documented and cited in order to stay within university policies on academic integrity and the Spartan Code of Honor Academic Pledge.
 
Design Around Generative AI
Ban [This syllabus statement is useful when you are forbidding all use of generative AI tools for any purpose in your class. Adjust this statement to reflect your particular parameters of acceptable use. The following is an example.] 
The use of generative AI tools (such as ChatGPT, DALL-E, etc.) is not permitted in this class; therefore, any use of AI tools for work in this class may be considered a violation of Michigan State University’s policy on academic integrity, the Spartan Code of Honor Academic Pledge andStudent Rights and Responsibilities, since the work is not your own. The use of unauthorized AI tools will result in [insert the penalty here*].

CONCERN: The ubiquity of generative AI tools, including their integration into Google search results and MS Office products, means that an outright generative AI ban is implausible for any activity that makes use of the Internet or MS Office Suite.

* It is highly recommended that you have conversations in your department about the appropriate penalties for unauthorized use of an AI. It is important to think about the appropriate level of penalty for first-time offenders and those who repeatedly violate your policies on the use of AI. 



Example Statements from Current USA, Higher Education Educators
This collection of example statements are a compilation from a variety of sources including Faculty Learning Community (FLC) at Cleveland State University, Ohio University’s AI, ChatGPT and Teaching and Learning, and some of Michigan State University’s own educators! (If you have an example generative AI policy from your course that you’d be willing to share, please add it to the comments below or e-mail it to MSU Center for Teaching and Learning Innovation at teaching@msu.edu) NOTE: making your own course-level determination of "ban", "restrict", "permit", or "require" and using the sample language is the best, first place to start!
 “AI (artificial intelligence) resources such as ChatGPT can be useful in a number of ways. Because it can also be abused, however, you are required to acknowledge use of AI in any work you submit for class. Text directly copied from AI sites must be treated as any other direct quote and properly cited. Other uses of AI must be clearly described at the end of your assignment.” -Claire Hughes-Lynch
 “While AI tools can be useful for completing assignments and detecting plagiarism, it is important to use them responsibly and ethically. Practice based on these guidelines as a future or current K-12 teacher. The following are some guidelines for what not to do when using AI in your assignments and for plagiarism detection:

Do not rely solely on AI tools to complete assignments. It is important to understand the material and complete assignments on your own, using AI tools as a supplement rather than a replacement for your own work.
Do not use AI tools to plagiarize*. Using AI to generate or modify content to evade plagiarism detection is unethical and violates academic integrity.
Do not assume that AI responses are always correct. It has been noted that AI can generate fake results.* Please see the plagiarism/academic integrity policy in the course syllabus.” -Selma Koc

“Intellectual honesty is vital to an academic community and for my fair evaluation of your work. All work submitted in this course must be your own, completed in accordance with the University’s academic regulations. Use of AI tools, including ChatGPT, is permitted in this course. Nevertheless, you are only encouraged to use AI tools to help brainstorm assignments or projects or to revise existing work you have written. It is solely your responsibility to make all submitted work your own, maintain academic integrity, and avoid any type of plagiarism. Be aware that the accuracy or quality of AI generated content may not meet the standards of this course, even if you only incorporate such content partially and after substantial paraphrasing, modification and/or editing. Also keep in mind that AI generated content may not provide appropriate or clear attribution to the author(s) of the original sources, while most written assignments in this course require you to find and incorporate highly relevant peer-reviewed scholarly publications following guidelines in the latest publication manual of the APA. Lastly, as your instructor, I reserve the right to use various plagiarism checking tools in evaluating your work, including those screening for AI-generated content, and impose consequences accordingly.” -Xiongyi Liu
“If you are ever unsure about whether collaboration with others, including using artificial intelligence, is allowed or not, please ask me right away. For the labs, although you may discuss them in groups (and try using AI), you must all create your own code, output and answers. Quizzes will be done in class and must be solely your own work. You alone are always responsible for the correctness of the final answers and assignments you submit.” - Emily Rauschert on AI as collaboration partner
“Chat GPT: The use of Chat GTP is neither encouraged nor prohibited from use on assignments for GAD 250. Chat GPT is quickly becoming a communication tool in most business settings. Therefore, if you choose to use Chat GPT for assignments, please be sure to revise the content for clarity, conciseness, and audience awareness. Chat GPT is simply a tool and should not be used as a way to produce first and only drafts. Every assignment submission will be graded using the rubric provided in the syllabus. Be aware that Chat GPT may not develop high-quality work that earns a passing grade. It is your responsibility to review and revise all work before submitting to the instructor.” -Leah Schell-Barber for a Business Communications Course
“Use of Generative AI, such as ChatGPT and Microsoft Bing-Chat, must maintain the highest standards of academic integrity and adhere to the OU Code of Student Conduct.  The use of Generative AI should be seen as a tool to enhance academic research, not as a replacement for critical thinking and originality in assignments. Students are not permitted to submit assignments that have been fully or partially generated by AI unless explicitly stated in the assignment instructions. All work submitted must be the original work of the student. Any ideas garnered from Generative AI research must be acknowledged with proper in-text citation and reference. Students may be asked to save the AI chat as a PDF file for verification.” -Ohio University College of Business Generative AI Use for Academic Work Policy
“‘The policy of this class is that you must be the creator of all work you submit for a grade. The use of others’ work, or the use of intelligent agents, chat bots, or a.i. engines to create your work is a violation of this policy and will be addressed as per MSU and Broad College codes of conduct.’ - Jeremy Van Hof… Or, you might consider this, which I asked ChatGPT to write for me: ‘Sample Policy Language: Students should not use ChatGPT to complete course assignments or for any other academic activities. ChatGPT should be used as a supplemental resource and should not replace traditional academic activities.’ (ChatGPT per Jeremy Van Hof’s prompting) 
Or this much longer version, also written by ChatGPT: ‘The following course policy statement prohibits the use of Artificial Intelligence (AI) for the’ completion of assignments and activities during the duration of the course. At the Broad College, we strive to create an academic environment where learning is the foremost priority. We strongly believe that learning is best achieved through the hard work and dedication of our students. As such, we prohibit the use of Artificial Intelligence (AI) for the completion of assignments and activities during the course.  Our policy is in line with our commitment to providing a fair and equitable learning environment for all students. We believe that AI should not be used to substitute human effort, as it defeats the purpose of our educational goals, which are to encourage critical thinking and problem-solving.  We understand that AI can be a useful tool in many contexts, and we do not discourage its use in other courses. However, in this course, we will not accept assignments or activities that have been completed through the use of AI. We expect our students to be honest and to complete their work independently.  We will be monitoring student work closely to ensure compliance with this policy. Violations of this policy will be met with disciplinary sanctions. All students are expected to adhere to this policy and to abide by the standards of the University.’ (ChatGPT per Jeremy Van Hof’s prompting)” -Jeremy Van Hof, Broad College of Business
“I study AI. I research it in my role as faculty in the Experience Architecture and Professional & Public Writing majors. And I don’t think it’s inherently bad or scary, in the same way that a calculator isn’t bad/scary for math. Artificial intelligence technologies such as ChatGPT can be an excellent starting point and a place to begin inquiry. But they are not a replacement for human thinking and learning. Robots lack empathy and nuance. As such, here is my policy:
You may use AI as a tool, but you may not use AI to replace your own beautiful brain. That means that you may ask ChatGPT, for example, to give you a list of bands similar to one that you hear and appreciate in this course. You may ask ChatGPT to give you an overview of a punk scene in a geographic location at a particular time. You may ask it for the history of punk rock and punk cultures. You may ask it what happened to Sid Vicious. 
But you may not ask it to write on your behalf, and you must not turn in anything that has been written by ChatGPT and pass it off as your own for any assignment in this class, including discussion responses, papers, and exams. If you do so, I will know, and that will lead to an uncomfortable moment–and to you failing the assignment.
This is not meant to be punitive. It’s meant to reinforce how much I value you and your ideas and your intellect. In a face-to-face environment, we would have a lengthy conversation about AI, ethics, and human learning. If you want to have that conversation, I’m happy to do so via Zoom–email me!” -Kate Birdsall, asynchronous US23 course on punk-rock politics
Developing your Scholarly and Ethical Approaches to Generative AI 
Taken, with slight modification, from “Update Your Course Syllabus for chatGPT” by Ryan Watkins, Professor of Educational Technology Leadership, and Human-Technology Collaboration at George Washington University in Washington DC (2022), via Medium. 
Beyond Syllabi Language 
Communicate your perspective about AI use. In addition to syllabus statements, consider talking with your students about AI tools like ChatGPT. Regardless of your orientation to generative AI use, it is important that you clearly communicate your expectations with the introduction of each assignment/assessment.   
Different levels of familiarity: As an emerging technology, students will have differing levels of familiarity with these tools. For instance, while ChatGPT can write a grammatically correct paper or appear to solve a math problem, it may be unreliable and limited in scope. Discuss with students the uses and limitations of AI tools more broadly in addition to your perspective on their use in your class. 
Connect to critical thinking skills: AI tools have many implications beyond the classroom. Consider talking with students about how to be engaged-consumers of AI content (e.g., how to identify trusted sources, reading critically, privacy concerns). Discuss how you and colleagues use AI in your own work.
Adapt assessments. AI tools are emerging and it can be incredibly difficult to make any assessment completely free from AI interference. Beyond a syllabus statement, you may also consider adapting your assessments to help reduce the usefulness of AI products. However before revising any assignment, it’s helpful to reflect on what exactly you want students to get out of the experience and share your expectations with your students. Is it just the end product, or does the process of creating the product play a significant role? 

Create assessments that allow students to develop ideas over time. Depending on your class size, consider scaffolding assessments to be completed in small components (e.g., proposal, annotated bibliography, outline, first draft, revised drafts). 
Ask students to connect their writing to specific course materials or current events. Students can draw from the course textbook, additional readings on Moodle or Blackboard, and even class discussion boards or in-class discussions.  
Incorporate personal experiences and reflections. Provide students with opportunities to connect what they are learning to their own lives and experiences—stories unique to each individual. 
Incorporate Multimedia Assessments. Consider developing or adapting assessments to include multimedia submissions (e.g., audio or video components). Also, consider peer-review and social annotation tools like Eli Review or Google Docs for students to use when responding to assigned readings or other materials.  
Use class time. Ask students to complete writing assignments during class time (e.g. complete reading reflections at the beginning of class, or use exit tickets). Asking students to organize their ideas by writing during class may also support student engagement in other class activities such as discussions and group work.  

Get Creative With Your Assignments: Visit “Update Your Course Syllabus for chatGPT” by Ryan Watkins (Medium article) for 10 ideas for creative assignments adapted for a classroom with chatGPT. You can mitigate the risk of students using chatGPT to cheat, and at the same time improve their knowledge and skills for appropriately using new AI technologies inside and outside the classroom.
Additional considerations to help you develop your generative AI philosophy (Watkins, 2022)
Expand your options. Consider your repertoire of instructional strategies. Atsusi Hirumi offers a guide to research-grounded strategies for any classroom. These are not, however, “a la carte” menus; you must use all of the steps of any strategy to gain the evidence-based benefits.
Reflect on your values. As Tyler Cowen pointed out, there will be those who gain and those that lose with the emergence of chatGPT and other generative AI tools. This is as true for students as it is for faculty and instructors. Be ready to openly discuss the ethical implications of generative AI tools with your students, along with the value of what you are teaching and why learning these are important to their futures.
Consider time. As discussed during Bryan Alexander’s webinar, chatGPT and other generative AI tools offer a short-cut to individuals who are short on time. Examine your course schedule to determine if you are unknowingly pushing students to take short-cuts. Some instructors try to cover too much content in their courses already.
Remember, AI is not human. Be careful not to anthropomorphize chatGPT and other generative AI tools. ChatGPT is a language model, and if we anthropomorphize these technologies, then it will be much harder to understand their promise and perils. Murray Shanahan suggests that we avoid statements such as, “chatGPT knows…”, or “ChatGPT thinks…”; instead, use “According to chatGPT…” or “ChatGPT’s output…”.
Again, AI is likely to be a part of your students’ life to some extent this semester, so plan accordingly. Critically considering your course design in the context of generative AI is an important educator practice. Following the Provost’s call, MSU instructors are encouraged to 1) develop a course-level generative AI use policy and actively discuss with students about expectations for generative AI use in the work for your class, 2) promote equitable and inclusive use of the technology, and 3) work with colleagues across campus to determine ethical and scholarly applications of generative AI for preparing students to succeed in an evolving digital landscape. MSU does not currently have a university-wide policy on AI in the classroom, so  it is your responsibility as instructor to note and explain your individual course policy. A conversation with your department is highly recommended so that generative AI use in the classroom reflects that in the discipline. 
References
This resource is collated from multiple sites, publications, and authors with some modification for MSU context and links to MSU specific resources. Educators should always defer to University policy and guidelines. 

MSU Office of Student Support & Accountability Faculty Resources, including Academic Dishonesty Report form. 
Watkins, R. (2022) Update Your Course Syllabus for chatGPT. Educational Technology Leadership, The George Washington University via Medium: https://medium.com/@rwatkins_7167/updating-your-course-syllabus-for-chatgpt-965f4b57b003 
Center for the Advancement of Teaching (2023). Sample Syllabus Statements for the Use of AI Tools in Your Course. Temple University 
Center for Teaching & Learning (2023) How Do I Consider the Impact of AI Tools like ChatGPT in My Courses?. University of Massachusetts Amherst. https://www.umass.edu/ctl/how-do-i-consider-impact-ai-tools-chatgpt-my-courses 
Center for Teaching, Learning and Assessment (2023). AI, ChatGPT and Teaching and Learning. Ohio University. https://www.ohio.edu/center-teaching-learning/instructor-resources/chat-gpt
Office of Teaching, Learning, and Technology. (2023). Artificial Intelligence Tools and Teaching. Iowa University. https://teach.its.uiowa.edu/artificial-intelligence-tools-and-teaching 
Center for New Designs in Learning and Scholarship (2023). Chat GPT and Artificial Intelligence Tools. Georgetown University. https://cndls.georgetown.edu/ai-composition-tools/#privacy-and-data-collection 
Office for Faculty Excellence (2023). Practical Responses to ChatGPT. Montclair State University. https://www.montclair.edu/faculty-excellence/practical-responses-to-chat-gpt/ 
Teaching and Learning at Cleveland State University by Center for Faculty Excellence is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
 

The context of today... Pandemic + Social Justice Crisis 
this means.. Greater Inequity in the Classroom such as:

access to adequate technology
financial impacts
health and safety concerns
emotional impacts

in turn impacting: belonging, ability to focus, balancing responsibilities, etc.



We are all feeling the weight of inconsistency and uncertainty. We must acknowledge what this means for our students, and particularly our students who hold marginalized identities.  What is "diversity, equity, and inclusion"?

Diversity is a characteristic of a group of people where differences exist on one or more relevant dimensions

this means respecting and valuing people’s differences and treating them with the appropriate respect and dignity.




Equity is the quality of being fair and impartial

meaning everyone has the opportunity to be successful




Inclusion is a measure of culture that enables diversity to thrive


making sure people feel comfortable being themselves in the space, their identity is honored, they feel like they belong and do not have to assimilate in order to achieve this




Why should I care about DEI? The impact of belonging is linked to increased persistence, student satisfaction, and well-being. In our context, a student’s sense of belonging is related to improved retention, graduation rates, etc. 

building belonging how?

Positive interactions with diverse peers
Peer mentoring, staff care & support
Attention to campus climate

read "How Colleges Can Cultivate Students’ Sense of Belonging" by Becki Supiano from The Chronicle of Higher Education for more

Take some time to reflect on your educator identity. What groups are you a part of? What identities do you think about most often? How about those you think about the least? Why might you think more about some of your group identities than others? What experiences lead you to think about the identities that are most salient for you? Which of these identities show up most often when you teach? Least often?
Source: Borkoski, C., Prosser, S.K., (2020) Engaging faculty in service-learning: opportunities and barriers to promoting our public mission. Tert Educ Manag 26, 39–55.
Cover Photo by Sam Balye on Unsplash

Leadership Fellows

2019-2021: Hunter Kopczynski
2021-2022: Brian Taylor

Hunter Kopczynski (2019-2021)During his first year of the Fellowship, Hunter Kopczynski spent much of the Fall semester building relationships between the Institute and the College’s graduate students and faculty. Hunter then turned his attention towards Studio Culture and worked closely with the Dean to identify areas of needs as well as to increase connections and transparency surrounding how Studios were run within and actress the college. He began building a community of graduate students and faculty across the university that provided Hunter with a variety of perspectives on how to explore and improve upon Studio Culture. This community continued to inform Hunter’s work during his second year as a Fellow, building on ideas to connect their curriculum (what we teach and perform), community (studios, ensembles, schools, and region), and creativity (unique application and expression of ideas) to build culture.
Brian Taylor (2021-2022)Brian started off with an interest in improving collaboration skills to improve ability to work with different types of musicians, instruments, etc. He planned a series of events where students from all disciplines could come play music together just for enjoyment and to remember why they have dedicated their lives to this pursuit. In playing easy, interesting, and unusual music with peers we know little about, we can regain a sense of community that has been lost through the past two years of virtual performances. This event will encourage people to play music for fun, to laugh with each other, and to create relationships that will hopeful last beyond Spring Semester 2022. Due to scheduling difficulties, he ended up with one event, but it was very successful. Brian hopes future events will create an even deeper sense of community by including more studios and offering them monthly.

The following is a list of the educators receiving the #iteachmsu Educator Award from the College of Arts and Letters. For more information on these awards, check out the article entitled "#iteachmsu Educator Awards".
Deric McNish: Deric is an outstanding educator, for sure. But he is also an exceptional colleague and I just want people to recognize his compassionate and thoughtful approach to holistic learning and his coordination and organization of the largest population in our department-- the Bachelor of Fine Arts in Acting. He is a wonderful leader in that program. He also inspires me to be more thoughtful with decisions I make through his guidance and examples. He is a colleague and peer that inspires me and others.

Danielle Devoss: Danielle is an inspirational leader and guide. I have worked with her on numerous projects-- or more likely watched her work. She is tireless and completely focused and committed. I am constantly inspired by her dedication and selfless willingness to help and guide.

Krsna Santos: Herr Santos has been one of the most considerate Professors I've had in my Freshman year so far. Starting off school online with this pandemic and all has not been easy but I've never had to stress out with Herr Santos and his class, as he is very understanding of the circumstances and is willing to make compromises to help me succeed.

Hannah Allen: Professor Allen has been extremely helpful in my first year as a freshman here at MSU. Her method for preparing for and going over essays is less stressful and she is always willing to offer additional assistance if needed. She is very kind and considerate as well, especially when connection issues arise.

Adam Gacs: I dropped out of GRM 202 the first time I tried to take it. I felt overwhelmed and I was drowning. After I left nearly the entire first test blank, I dropped the class. It took two years before I tried again, this time with Adam Gacs. Under his gentle guidance, I’ve been able to maintain a 4.0 and grow in my confidence. I no longer worry about not having all the words or stumbling over grammar. I think confidence was the one place my German knowledge was really failing, and I feel like I’ve gotten to be much more capable.
He’s also done an incredibly good job at teaching a language online. We seem to all be pretty in tune with each other in class and he lets us have fun and make jokes (as long as they’re in German!) and we have a genuinely good time. The assignments are easy to find and follow, and I never feel overwhelmed with work in his class like I have in language classes previously.
Massive thanks to Adam Gacs.

Nicola Imbrascio: She has been one of the most impactful professors I have had in my time at MSU, and my field isn't even related to what I learned in her classes. She cares so much about her students in both their academic and personal lives. I learned so much in both of the classes I took with her because she is so engaging and you can tell that she is really passionate about what she teaches.

Dr. Sheila  Contreras: I would like to thank Dr. Contreras for taking the time to mentor me and other individuals like me. She has always demonstrated care and an interest to see us succeed. She is an extraordinary Latina on our campus and deserves to be recognized for her effort in supporting our community. She has gone above and beyond to see us get into graduate school. She continues to motivate other Latinx individuals to continue their education. I appreciate her effort.

Morgan Shipley: Morgan Shipley is one of the most genuine professors I have ever had. Every class he shows how much he cares for his students and lets us know he is there for us.

Kenlea Pebbles: My freshman year I had professor Pebbles and I enjoyed her class so much. She brought so much positive energy to each class and I still appreciate it today. I remember being a freshman in my fall semester and professor Pebbles made everyone feel so welcomed, it did not feel like I was a first year student that was new to everything. I still use all of the writing skills that Kenlea taught me in my junior year now. Thank you!!

Ann Larabee: I really enjoyed the chance to team-teach the grad seminar on popular culture studies. I also learned a lot from your choice of materials and general expertise in the field. It was especially cool to bring in materials and ideas from JPC. The Zoom sessions with various experts around the country were an added bonus. We created a good dynamic environment for the students.

Mohammad Khalil: A wonderful colleague, Mohammad has enthusiastically come to speak to my Music in Religion course for the last several years. Despite his very busy schedule, he makes time to speak about Muslim popular music, something I knew nothing about before he first visited. Each time he comes with fresh examples and I learn something new. Students invariably remember these visits as one of their favorite lessons from the course.

Kate Sonka: I would like to thank Kate Sonka for her continual student-perspective taking and advocacy. Her efforts have improved the numerous roles she fills across campus, representing our diversity of students and their perspectives in the policy and procedures that are developed. This recently played out more directly in Kate's own class, when one of her students presented at the national Accessible Learning Conference. When the student was asked about where she had experienced any good examples of inclusive teaching, she mentioned her experience in Kate's course. Kate supports those around her, connects relevant communities, and promotes the widest possible range of voices. With Kate Sonka at our institution, our courses, committees, and communities are richer, getting us closer to the ideal of a public land-grant institution of higher learning.

Peter Hoffman: Professor Hoffman goes out of his way to make each and every student feel connected and appreciated. I e-mailed him once apologizing for my recent late assignments due to the stress of online classes. I was struggling and felt overwhelmed, but his kind reply gave me hope that things would get better. He even told me to e-mail him any time I needed words of encouragement. He does an amazing job making online classes positive and stress free while teaching his students the importance of poetry. Aside from poetry, Professor Hoffman gives valuable life lessons and makes each student a better person because of it.

Hui-Ling Malone: In her first year at MSU, Dr. Malone has impacted all of her students so much. She re-kindled my love of teaching, and gave us all confidence in our writing skills as a class.

Amy Lampe: Amy is hands-down the best advisor on campus. She genuinely cares about her students and coworkers, and has cheerleaded me from day one. She's always there for anyone who needs an advisor, friend, or mom figure in their life.

Kate Birdsall

Dr. Birdsall believed in me when it felt like no one else did. She encouraged my best work and gave me hope for my future in academia. 


Learning from KB has truly been the highlight of my experience at MSU. This institution sucks (sorry not sorry), but Kate Birdsall ROCKS. I had the true pleasure of having her for advanced fiction writing as a fluke when the other semester was out. That was three semesters ago and I have taken class with her each semester since. In person and on zoom, Kate cultivates a powerful environment of camaraderie and caring that makes all the difference, especially during the pandemic. She asks her students how they are and cares about the answer. She pushes her students, particularly those writing for The Current in WRA 480, to produce the best work they can and, when she's your teacher, you want nothing more than to make her proud by doing just that. And you do. I am an incomparably better writer, editor, and communicator because I've worked with KB. 


KB has given me the best academic experience during my time at MSU by far. She has a way with words and working to direct a team that I have yet to see replicated at this institution. Whether it be her gracious understanding of the tricky circumstances of life or her ability to relate to the class and what concerns them the most, she's all-around fantastic. She has made a considerable and positive impact on how I will view MSU in the future as I prepare for graduation this summer. My biggest regret is not having her as a professor sooner.


Kathryn Houghton: Kathryn has been an amazing professor. During this semester, she fostered a classroom environment via Zoom that encouraged not only participation, but the challenge of arguing a dissenting opinion. I was uninterested in the subject matter before this class, but quickly became enamored by it after beginning. She utilized appropriate virtual resources to aid in better understanding her well-polished slides for class. Also, the dogs this semester were a cute and uplifting addition.

Kate Fedewa: 

Professor Kate Fedewa is personable instructor who always makes sure her students are doing their best and is very understanding when extra time is needed on an assignment. She begins ever class asking how her students are and any news in their lives. I want to thank her for making my senior year not as stressful and always being there to help and talk.


Kate's Rhetoric of Grammar class has been my favorite of this very difficult semester. I was (most) always excited to hop out of bed once a week for this 8:30 class because Kate never failed to make it more than worth my while with engaging discussion and insightful lessons. She also manages to create a fruitful discussion environment on Zoom, for which she has absolutely earned some kind of medal. Each week she came up with practical exercises to do in breakout rooms which helped to demystify complex grammatical concepts. Our big paper assignment for the year also allowed me to spend two months working with lyrics from my favorite artist which has done wonders for moral. She is empathetic, brilliant, and always ready to help. Multiple times in the semester she scheduled extra review sessions just to ensure those who wanted more time to learn would have it. She is, quite frankly, the bee's knees. 


Casey Miles: Casey has been my advisor for years (a job at which she is freaking stellar), but this semester I had her as an instructor. I have learned a lot from Casey this year and not just about the job market but about how best to be to others. Casey teaches so much about empathy through leading by example. Her motto for our class was "come as you are, as you were, as you want to be." She says this and she *means* it. Casey approaches teaching with such a fabulous sense of humor and a tremendous amount of heart. Her kindness and assurance over the course of the semester has prevented more than one anxiety spirals on my end. She is positively kick-ass at what she does and everyone should be so lucky to experience a class with Casey Miles.

Maileen Bugnaski: Maileen worked with the 4-H and MSU Broad Art Lab collaborative project called Visualizing a Year Like No Other, a Michigan Teen Photo Project. Maileen met weekly with young people ranging from ages 13-18 to take photos on prompts intended to help them make sense of the crazy world around them. Maileen expertly created each week's prompt video, providing inspiration for the youth, and facilitated a weekly small group session for the youth to talk about their photos. Maileen's creativity and ability to create a sense of community among the youth made the program incredibly impactful for the participants. One of the participants said, "My biggest takeaway from the program was probably the feeling of how amazing it was to have my own community of people who shared similar interests as me and that I felt supported me. I also learned a lot about how fun photography is and how it can have a huge impact and very deep meanings." Maileen's contributions helped to make this possible.

Dustin De Felice: Dustin spends so much conscientious and dedicated time mentoring graduate students, even those who are not officially his advisees. He is one of those mentors and colleagues who genuinely wants students to succeed not only in relation to course topics but also with respect to professionalization and academic acclimation. His door is, quite literally, always open (pre-COVID, anyway). Dustin, thank you for making students (especially non-traditional ones) feel welcome and supported.
Megan Walsh: Megan Walsh stands out as a MSU Graduate Teaching Assistant. Megan applies pedagogical approaches that promote student agency. Megan keeps students’ attention by changing their focal points. She’s like a highly organized traffic cop. She physically and mentally divides her lessons into clear, logical sequences. Each purposeful transition results in refreshed student mental states. Students could not help but be fully engaged in her fast-paced environment. It was like watching a seasoned sports coach getting team members to run different, complicated plays really well. I was very fortunate to have had Meagan as a student. She is a rising teacher-star!
Bethany Meadows: In this past year, Bethany has done phenomenal work in and beyond the writing center. She has served as an excellent mentor to new consultants, practiced trauma-informed approaches to her work, and demonstrated an enduring commitment to dismantling sexual violence. It has been a pleasure to learn from Bethany this year, especially her commitment to community engagement.
Anyone can recognize a fellow Spartan for their contributions to MSU's teaching and learning mission or for how they made a lasting impression on your experience. All you have to do is click "Thank an Educator" in the left panel of iteach.msu.edu. From there you'll see a short form where you can enter the name, netID, and a short story of the educator you'd like to recognize

Greetings everyone! My name is Rashad Muhammad. I am a Learning Experience Designer in the Hub for Innovation in Learning and Technology. As we begin the new year, I am excited to step into the role of the project manager for the Catalyst Innovation Program. Catalyst Innovation Program was designed to incentivize the MSU community to develop creative and innovative student learning experiences by funding projects that encourage discovery and experimentation. 
In this spirit, it is with great enthusiasm that I present this year’s 2019-2020 Catalyst Innovation Program recipients:

Alice Lynn McMichaelHistoryExperiential Environments: Modeling the Past for Embodied Learning
Allison EdenDepartment of CommunicationScreen-based versus immersive virtual training platforms for improving public speaking
Andrea BieremaCenter for Integrative Studies in General ScienceCreating Open-Sourced H5P Adaptive Learning Modules
Ashley HewlettAsc Provost For Undergraduate EducationNew Student Orientation Online Experience
Brad WIlcuts, Daniel TregoDepartment of Theatre/ Al Academic And Information Tech SupportSocial Dancing and Culture meets Extended Reality
Dean AslamElectrical And Computer EngineeringFlipped STEM Learning Using Smartphones and Hands-On FBEI (Functionalized Bricks with Embedded Intelligence) Modules
Jennifer DunnDepartment of ManagementPilot Use of Qualtrics 360 Tool to Provide Multi-Rater Feedback to Students
Jeno RiveraCollege of Agriculture and Natural Resources Office of Academic Student Affairs and Institute of Agricultural TechnologyJamming together: Educational technologies to enhance collaborative learning
John PaskusMI Natural Features InventoryIncreasing Student Engagement via Teamwork, Collaboration, and Real World Connections 
Judy WalgrenSchool of JournalismHarnessing the Power of Immersive Media With MSU’s School of Journalism Students
Michelle GrimmMechanical EngineeringInteractive Digital Experience as an Alternative Laboratory (IDEAL): Creative Investigation with Data Analysis 
Nick Lepeschkin-NoelIT Services – Advanced Academic and Research TechnologyRemaking the Future – An Education Focused Simulation Framework  
Quentin TylerSchool of Planning, Construction and Design and Office of Diversity, Equity and Inclusion in the College of Agriculture and Natural Resources collaboration.Bridging Student Learning in Diversity, Equity and Inclusion Through Virtual Reality
Rachel Morris and Michelle RussellBiomedical Laboratory Diagnostics ProgramUtilizing Genome Mutation Analysis Software to Enhance Student Learning, Preparation, and Engagement in Molecular Diagnostics 
Saul Beceiro-NovoBiomedical-Physical SciencesCurriculum reform for ISP209L
Zachary NealPsychologyBuilding a Social Simulation Makerspace

This year we increased the total number of winners from 10 to 16. Each proposal was double-blind peer-reviewed. Thirty-five applications were received, each seeking to improve the learning experience at MSU for and with students. 
Jeff Grabill, Associate Provost for Teaching, Learning, and Technology said “As we iterate toward a more explicit story about MSU’s digital learning future, it seems necessary to provide as many opportunities as possible for faculty and students to experiment, invent, make, and learn. This program is one of our small bets to create space for faculty and to see what happens.”
MSU’s Chief Digital Academic Officer Brendan Guenther points to the rapidity with which innovation happens, and how structures must adapt – “Catalyst awards give us a rapid investment lever for individuals in the #iteachMSU community, when they sense the need for innovation and have an inspired idea, we can give them the boost needed to make something happen.”
As the year progresses, we will share out stories to keep you updated on the progress these projects are making. Our goal is to empower our recipients to experiment, learn and share that knowledge with the rest of the MSU community. If you missed this application cycle, the next opportunity will be available in the Fall of 2020. Get your ideas ready!

In the beginning…
Much of our work toward #iteachmsu began through a graduate-student-led effort called Inside Teaching MSU in our Graduate School. Inside Teaching MSU launched to catalyze the expertise of many graduate student teaching assistants and instructors, that could be shared with colleagues across disciplines and aimed to challenge the conventional ideas of who is an educator and where learning takes place. As the adoption of this expanded definition of "educator" that was the foundation of this effort grew, three partners- the MSU Hub for Innovation in Learning and Technology, the Graduate School, and the Academic Advancement Network (AAN)- came together to build an educator "commons". The#iteachmsu Commons is a digital space where all MSU educators can share ideas and resources, connect with one another across roles and disciplines, and grow in their practice!
A Hashtag...Throughout social networks, #iteachmsu, has gained institutional traction as not only a statement or a hashtag, but as a public declaration of teaching practice and educator identity. Educators have taken up the rallying cry “I teach MSU” by sharing out reflections, celebrations, and practices online! #iteachmsu even functions as a connection builder, bringing two- now- Champions together!A Platform...
A digital site, iteach.msu.edu, designed for educators by educators at MSU. The site aims to create a single centralized resource on a campus that is often challenged by its decentralized nature. It is also home to the Thank an Educator initiative which aims to elevate and celebrate the high-impact practices and contributions of all educators through a peer-recognition program. For more information on the functions of this space as a platform, check out the Getting Started playlist!A Movement...
The #iteachmsu Commons defines “educators” at Michigan State University in the broadest possible manner. Here we deliberately use the term 'educator' to refer to individuals that support the teaching and learning mission of the university. Educators could include but are not limited to faculty, graduate teaching assistants, undergraduate learning assistants, instructional designers, and academic advisors. If you contribute to MSU’s mission of teaching and learning in any way, you are invited to contribute to and engage with this community (by logging in with your MSU netID).
We believe this shift is an important and deliberate move toward sharing and centering teaching and learning as important across higher education. This moment provides new opportunities for addressing what has always been a valuable but highly complex task for educator development.

Leadership Fellows

2016-2018: Megan Jackson
2017-2019: Dominik Neuman
2019-2020: Matthew Klein
2021-2022: Radhika Sen

Megan Jackson (2016-2018)Megan’s work as the first Communication Arts & Sciences Leadership Development Fellow established strong connections with Dean Prabu David as she supported his goal of improving the graduate student experience. Together, they began a 1-credit course to increase awareness of college offerings and university resources, socialize students in the college, and begin to build community. Further, Megan worked with the college’s only GSO, The Association of Graduate Students in Communication (AGSCOM), to facilitate its official recognition as an RSO and supported Karen Cleveland’s new GSO in the Department of Media & Information. A September 2017 meeting between Megan, Dean David, and Matt Helm, the Director of Graduate Student Life & Wellness at the time, led to a social event held at the college that saw graduate students sharing lunch and discussing plans for future social events held off-campus. 
Megan concluded her 2017 report with a reflection on change and the individual; “The success of graduate student collaboration, community, and leadership development is immensely dependent upon an individual, like the fellow, leading the effort within the college. [The] impact of the first year fellow in the college is highly visible as the Dean stated one of his top 5 goals for this academic year to be improving the graduate student experience. Change does not happen, change is led. With the fellow in place, this organic change is within reach and the immensely positive outcomes will be seen for years to come.”Dominik Neuman (2017-2019)During the first year of his Fellowship, Dominik Neumann built on Megan’s work creating social events for grad students in the College of Communication Arts & Sciences by hosting an event series called “Communication on Tap” at local bars in East Lansing where graduate students could share their research while tying in personal stories or humorous anecdotes in a laid-back and relaxed setting. This work-free space for socialization was organized following a survey to the college’s PhD students that determined the events could foster a sense of togetherness and community while working to overcome the feeling of disconnection graduate students perceive between their professional and personal lives.
Dominik began the second year of his Fellowship developing a peer-mentoring system and handbook for the college. His initial survey to PhD students demonstrated the need for individual mentorship, as compared to committee- or group-based support. Domink decided to create a “buddy system” for incoming students in the College of Communication Arts and Sciences. Buddies served to create respectful relationships and an open dialogue that could help incoming graduate students navigate East Lansing, campus resources, classroom dialogues, and other issues that may be relevant for the student.
Matthew Klein (2019-2020)As the third Fellow for the College of Communication Arts & Sciences, Matthew Klein worked closely with a faculty member within the College on a college-wide project looking at the impact of inclusive language on syllabi. Matthew was invested in contributing to College-level efforts related to inclusion, and in collaboration with his key stakeholders, he decided that a mixed-methods study would best serve them in pushing future initiatives forward. Matthew and his stakeholders intend to launch this study after the completion of his Fellowship year.
Radhika Sen (2021-2022)Radhika created Imagine MSU, an initiative that provided graduate students funding to enhance the graduate student community. Grounded in an awareness that a thriving university community is one in which a great variety of lived experiences and perspectives find voice, Radhika’s project aimed to build a stronger culture of belonging among students (which research indicates is a major indicator of student success and retention) at MSU by encouraging creative problem solving and student leadership and supporting the pursuit of innovative community‐building ideas prototyped and implemented in collaboration with students. Radhika applied for and received a Creating Inclusive Excellence Grant from MSU for $5,000. She also partnered with the Graduate School to access additional funds. She recruited a steering committee of faculty who reviewed 25 applications from graduate students and selected 3 projects to fund. The first project aimed to increase a sense of community amongst graduate students in the English department as well as learning how DEI issues intersect with research and writing. They proposed to hold several writing retreats and to bring in a speaker whose work focuses on indigenous studies. The second project proposed developing an LGBTQ+ History course for the MSU History department and developing LGBTQ+ culturally-responsive training for faculty and TAs to incorporate LGBTQ+ history into their current courses and support students in the College of Social Sciences. The third project proposed the creation of a multi-authored Spartan Zine series reflecting on the experiences of MSU graduate students during the pandemic in the hopes of both fostering belonging while honoring difference.