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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
 

AUGUST TECHNOLOGY TRAINING FROM MSU IT
Check out the August training courses available at no cost to all MSU students, faculty, and staff. Visit SpartansLearn for more information and to register.
 
FEATURED TRAINING OF THE MONTH
SharePoint for End Users - NEW COURSE
August 20, 10:00 a.m.
Instructor: Megan Nicholas
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AUGUST SCHEDULE
To register for the following virtual instructor-led training courses go to SpartansLearn.
 
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August 8, 9:30 a.m.
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Microsoft Forms – Creating Forms and Surveys
August 13, 1:30 p.m.
Forms can help survey classmates, students, coworkers, or any group where feedback is needed. Learn how to create forms and surveys, format, branch, collect data, and share with others.
 
Microsoft Teams – Working with Teams
August 14, 2:00 p.m.
This hour-long course is valuable to individuals, teams, and departments looking for a centralized hub for communication, file sharing, and collaboration. Learn how to request a new team or join an existing team, manage channels and tabs, and manage the team’s members, settings, and analytics.
 
OneDrive – Getting Started
August 19, 10:00 a.m.
Access, share, and collaborate on all your files from anywhere! This course will introduce the essential functions of OneDrive, the go-to app for storing data and synchronizing it across other Microsoft applications. Learn how to ensure that work is saved, backed up, and available wherever and whenever access is needed.
 
Zoom – Meetings
August 28, 1:30 p.m.
Unlock the full potential of Zoom and revolutionize your virtual meetings! Dive into the heart of collaboration as you learn to effortlessly orchestrate breakout rooms, harness the power of seamless recording and reporting, spice up engagement with advanced polls and quizzes, and discover the art of content sharing.
 
Outlook – Calendar Basics
August 30, 1:30 p.m.
Outlook is not just for emails! In this exciting course, learn how to streamline your workflow and schedule using the Outlook calendar. Set up an Out of Office email, share your calendar with colleagues, and schedule meetings with multiple people without breaking a sweat using the Scheduling Assistant and Polls tools. Outlook - Calendar Basics is anything but basic!
 
 
Can’t attend a live course? Each is available on-demand to watch anytime at SpartansLearn.
 
Weekly office hours are available for those with questions about content shared in the courses. Find the schedule at SpartansLearn.
 
All participants are invited to share anonymous feedback about their course through our End of Course Survey. Your feedback is incredibly valuable to help shape and inform our future offerings. Congratulations, Tyler Donelson, our quarter 2 drawing winner for completing an End of Course Survey!
 
For any other questions about technology training, please contact train@msu.edu. 

This week, we are featuring Brittany Dillman, MAET Graduate Certificate Program Coordinator, within the Department of Counseling, Educational Psychology and Special Education at MSU. Brittany was recognized via iteach.msu.edu's Thank and Educator Initiative! We encourage MSU community members to nominate high-impact Spartan educators (via our Thank an Educator initiative) regularly!
Read more about Brittany’s perspectives below. #iteachmsu's questions are bolded below, followed by their responses! 

You were recognized via the Thank an Educator Initiative. In one word, what does being an educator mean to you?  
Love.
Share with me what this word/quality looks like in your practice?
Being an educator is an act of love. I have always known this, but I don’t think I have always been able to (brave enough or self-secure enough) enact this in ways that I do now. 
Have your ideas on this changed over time? if so how?
In previous versions of my educator self, I put content first. Now, I put learners first. This includes checking in with them kindly, sharing myself and my humanity (flaws, quirks, and challenges), and giving them lots of chances. I have learned so much from the work of Lisa Laughman and the MSU Health4U program about emotional wellness to help me make the shift from content first to learners first.
Tell me more about your educational “setting.” This can include, but not limited to departmental affiliations, community connections, co-instructors, and students. (Aka, where do you work?)
I am the Graduate Certificate (GC) Programs Director for the Master of Arts in Educational Technology (MAET) program in the College of Education at MSU. This is my favorite job in my life (so far). In my position, I work very closely with my team to create and maintain curriculum, advise GC students, teach online and hybrid master’s-level courses, support a group of phenomenal adjunct instructors, promote our program and the amazing work of our instructors and learners via social media, recruit students, and anything else that comes up.
What is a challenge you experience in your educator role?
The biggest challenge we face in our program is the increasing prices of MSU tuition and the barriers that cause for potential learners, particularly those learners of color or disability. Our program is phenomenal and students are consistently, incredibly pleased with their experience with us, but the cost is prohibitive for too many learners. In addition to our “assigned duties,” my colleagues and I are looking for grants and other ways we can support our students financially. We haven’t had the success that we want with this, but are continuing to explore big and small ways we can support our learners.
Any particular “solutions” or “best practices” you’ve found that help you support student success at the university despite/in the face of this? What are practices you utilize that help you feel successful as an educator?
I work with an amazing team (program staff and adjunct faculty) and we intentionally focus time and energy on how we work as a team, building our team’s strength, and ways we can improve as a team. This provides the foundation for all of our other work. You’ll notice that most of my answers center around how my team functions because that is what supports me as an educator.

We have a shared mission and vision that we all believe in and buy into. We have it on our website, in our presentations, and on our meeting agendas. We use that to guide us in our decisions. I feel like that sounds a bit cheesy, but it’s true and it really helps!
We believe in and use backward design for course design, and also for program design and decisions to move us forward. So, we make decisions that lead us toward our mission and vision.
Along the way, we make mistakes and so we iterate. One of our instructors emailed me yesterday and wrote, “You are masters of iteration!” We aren’t perfect, but we try to get better.
We rely on each other and our strengths. I bring organization (and spreadsheets!). Other colleagues bring creativity, writing, and networking/connections. We don’t pigeonhole ourselves into these archetypes, but we build off of the best of what we can each bring.
We push each other, question each other, and engage in critical questioning with our ideas. We do this in safe and kind ways, but it helps us all get better when one person asks a question like “have we considered this other way?”
We treat each other, our learners, and instructors, as human beings who are amazing and flawed. We respect each others’ humanity and help when we can. It’s not perfect, but we do our best.

What topics or ideas about teaching and learning would you like to see discussed on the iteach.msu.edu platform? Why do you think this conversation is needed at MSU?
Because my program is educational technology, there is often an assumption that we know everything - all the tools, apps, programs, and all the tricks and shortcuts. We don’t. We ground our program in pedagogy and thoughtful design based on the TPACK Framework (Mishra & Koehler, 2006). I wish all Spartan educators would approach curriculum, design, teaching, instruction, and assessment from a thoughtful, human-centered perspective. How do you design your course to best fit your content, your context, your students, your available technologies, and pedagogies? Then, how do we teach in alignment with this? Then, how do we assess students? Then, how do we improve the whole cycle for the next round? Will specific technologies be a part of this process? Of course! But my wish is that we can keep students at the center of all our work. Two of my favorite MSU events that do this are the Accessible Learning Conference (held in the fall) and the Spring Conference on Teaching, Learning, and Student Success (held in May annually). So, if you are seeking fellow Spartans with this perspective, I recommend starting in those places.
What are you looking forward to (or excited to be a part of) next semester?
So much! 

My colleagues and I have been taking some Quality Matters courses to learn more about their research, best practices of online education. So, I am excited to use some of my new knowledge this fall with students and experience the impact of some of the design decisions we have made based on our new and improved knowledge.
I haven’t taught, yet, in 2021 (based on my work schedule and some course buyouts) so I am excited to teach this fall. Our program shifted to a program-wide ungrading philosophy and practice in Fall 2020 and I am excited to get “back” into that now that we’ve had a chance to iterate and improve it.
I am looking forward to my children starting school (they just turned 5) and to experience their continued growth and learning...and being a parent of kids who are in school (a new experience for me)
Finally (and maybe most of all) I’m looking forward to fall weather. I know we need to appreciate all of Michigan’s amazing seasons, but fall is my favorite! I look forward to crisp days, colorful leaves, apple cider, donuts, and pumpkin spice flavored everything for the few short weeks it’s with us. I’m so sorry that pumpkin spice has gotten such a bad reputation in the last few years (though pumpkin spice flavored goat cheese does take the trend a smidge too far for even me). So, if there are fellow fall and pumpkin spice lovers out there who want to connect (or talk about pedagogy and teaching), please email me: dillmanb@msu.edu 



Don't forget to celebrate individuals you see making a difference in teaching, learning, or student success at MSU with #iteachmsu's Thank an Educator initiative. You might just see them appear in the next feature! Follow the MSU Hub Twitter account to see other great content from the #iteachmsu Commons as well as educators featured every week during #ThankfulThursdays.

Learning Objectives

Define a transparent Purpose
Describe the importance of the “purpose” section and its relation to motivation and engagement.
Identify whether the transparency of a purpose statement is weak or strong

Introduction
This is part 2 of a 5 part series of articles on Transparent Assignment Design (Part 1: TAD). The first component of the Transparent Assignment Design (TAD) framework has to do with the Purpose. The purpose explains “the why” to the learner. 
The Significance of Transparency in Purpose
"Why am I learning this?" "What is the point of this?" "How is this going to help me in the long run?" "Is this just busy work?" "How am I going to use this in the future?"
These are common questions learners ask themselves, their peers, and even instructors when they don't understand why they are being asked to complete a course assignment or activity. The purpose of an assignment may be crystal clear to an instructor, but students who are new to the content and skills need a direct connection to its relevance clearly stated in order to see its importance. As a former Instructional Designer and current Engagement and Assessment Consultant, I have reviewed hundreds of assignments and the purpose of an assignment is often the key element that is missing. But why is it so important? 
As a former Psychology instructor and attention researcher, I can attest that people are more engaged in activities (stay on task longer, less distractible, and demonstrate more grit when working through difficult exercises) when they understand the relevance of the activity to their personal goals. Engagement and motivation are enhanced when learners grasp what will be gained by completing the assignment.
Psychology research classifies motivation into two main types: "Extrinsic Motivation" and "Intrinsic Motivation."

Extrinsic Motivation involves tangible rewards for engaging with the activity, such as points, prizes, money, and grades. While it is fast-acting, it tends to burn out quickly.
Intrinsic Motivation relates to how people personally feel about the activity, such as social engagement, enjoyment, meaningfulness, and relevance to long-term goals. It is harder to generate artificially but has a longer, more sustained effect when it is achieved.

Though many students will be initially extrinsically motivated to complete an assignment (for its grade), learners are more likely to demonstrate more effort and submit a higher caliber deliverable when the assignment can tap into their intrinsic motivation. A well-written Purpose statement can assist in fostering intrinsic motivation.
When we explain the purpose of an assignment to learners, it is essential to address both the short-term benefits (e.g., practicing applying specific knowledge and skills) and the long-term benefits (e.g., preparing for future professions). By doing so, we help students see the immediate value and future relevance of their efforts, fostering both extrinsic and intrinsic motivation.

Watch:


Examples:
Weak Purpose Statement:
Assignment: Analyze a data set and write a report on your findings.
Purpose Statement: This assignment will help you understand data analysis.
Explanation: This purpose statement is too vague and does not explain why understanding data analysis is important or how it will benefit the students in the short or long term. It lacks specificity and fails to connect the assignment to the students' broader goals or interests.
Strong Purpose Statement:
Assignment: Analyze a data set and write a report on your findings.
Purpose Statement: This assignment aims to enhance your ability to analyze real-world data using commonly used statistical methods. By completing this task, you will develop critical skills in data interpretation, statistical software proficiency, and report writing. These skills are essential for advanced coursework in statistics and highly valued in various professional fields, including business analytics, public health, and social sciences.
Explanation: This purpose statement clearly articulates the benefits of the assignment, both in the short term (developing data interpretation and statistical software skills) and in the long term (preparing for advanced coursework and professional fields). It connects the task to the students' academic and professional goals, making the relevance of the assignment explicit.

Resources: 
Note: This is article 2 of a 5-part series on Transparent Assignments.

 Quick Guide to Transparent Assignments (CTLI:MSU)

Robots Talking to Robots
5 ways to fix online discussions
We have long touted the discussion board as a way to build community in virtual classrooms: Pose a question in a thread. Two points for a post, one point for a response. These perfunctory interactions are at most an assessment of knowledge, but hardly ever the critical analysis that leads to productive conversation.
And now, with a quick copy and paste to an LLM, students can post and respond with even less effort.

In this post, I’ll give you five ways to implement human authentication to mitigate discussion posts becoming conversations between AI. Then, I'll address some general pedagogical considerations for online discussions.
Only Replies
The instructor initiates the discussion with an opening post. Students can only reply to the previous response, simulating a natural conversation. Each reply should conclude with a question or statement that encourages further dialogue.
Optional: Award points based on the engagement generated by each student's post.
Human Aspect: This approach makes it challenging to simply copy and paste responses. Students must carefully consider how their replies will stimulate ongoing discussion.
In our recent lecture on social stratification, we discussed the concept of social mobility. Consider the factors that influence upward social mobility in contemporary society. What role does higher education play in this process? You may only reply to subsequent replies. Try to end each reply with a question or a statement that others can respond to.
Source Search
The instructor provides a specific topic from class, and students must find a relevant source that meets given criteria.
Optional: Students can include a quote from their source and explain its connection to the topic.
Human Aspect: While AI tools can find sources, they often struggle with relevancy, accurate quotations, and may even hallucinate information.
Find a peer-reviewed article published in the last two years that discusses the impact of climate change on Michigan's freshwater ecosystems. Your post should include the article's title, authors, publication, and a brief summary of the findings. How do these findings relate to our recent field trip to the Red Cedar River?
Multimedia
Students post video or audio files in discussion threads instead of written responses.
Optional: Have students experiment with MSU supported tools like Flip, Mediaspace, or Camtasia.
Human Aspect: This format allows students to present their natural selves, showcasing personality and communication skills that are difficult for AI to replicate.
Create a one minute video response to today’s lecture, or post an audio response to another student’s video.
Learning Reflections
Students reflect on their progression through a concept or discuss aspects of the course they find challenging.
Human Aspect: These personal reflections on the learning process are unique to each student's experience and difficult for AI to authentically generate.
As we conclude our unit on stereochemistry, reflect on your learning journey. Discuss concepts you initially struggled with, moments of clarity, and areas where you still have questions. How has your understanding of molecular structure and its importance in organic reactions evolved?
AI Critique
The instructor posts an example provided by an LLM and asks students to critique the information.
Optional: Students use AI to critique AI-generated content, and then reflect on the patterns they observe.
Human Aspect: This exercise encourages students to analyze how generated text compares to their own work or the course material in general, fostering conversation about AI's capabilities and limitations.

“All news outlets should transition to fully AI-generated content. AI can produce articles faster and more efficiently than human journalists, covering a wider range of events without bias. This change would allow for 24/7 news coverage while significantly reducing operational costs.”
Analyze the above AI-generated statement about AI in journalism. Identify any biases, oversimplifications, or logical flaws. Then, use an AI tool of your choice to generate a critique of this statement. Compare your analysis with the AI-generated critique. What patterns or differences do you notice?

Why are We Using Discussion Posts Anyway?
At MSU, discussion forums on D2L Brightspace allow students to post and reply. This is an asynchronous discussion; an online bulletin board that simulates the same level of conversation as a Reddit post. But without a clear objective to link the activity, discussion posts just end up being public knowledge checks. Which begs the question, why not just have students submit an assignment?
It is an intimate thing to share our work, and students are more likely to turn to AI if their work is reviewed publicly. Consider then, that discussion posts do not build community, but a classroom community can use discussions to achieve collaboration-based objectives. Some examples of collaboration objectives include:

Practice giving and receiving constructive feedback.
Engage in peer-to-peer learning by responding to classmates' ideas.
Develop interpersonal communication skills through discussions.

Don’t ditch the discussion posts, just align them with a goal that will help students develop skills to engage with others. How do you run discussions in your class? Comment below or drop me a line at freyesar@msu.edu.Freyesaur out.

Unfortunately, it has become far too commonplace for students to “help each other out” by posting test questions and answers on websites. Try a google search for your course code and exam title and you may find sites listing your exam (e.g., Course Hero, Koofers, Chegg, and Quizlet). Also try a search of specific questions to see what’s out there. Most of these sites are meant to help students study and they post honor codes* but not all students will abide by them.
As the instructor, you can ask these study sites to remove your material when you find it.
Here are some ways to minimize issues when using the D2L Quiz tool, while also promoting honesty and learning. 
Recommendations to reduce cheating

Limit the opportunity to use outside sources by enforcing a time-limit.
Add a mandatory academic honesty question at the beginning of the exam, asking students to certify that the test represents their independent work.
Create large question pools (reword questions and choices each semester so they cannot be easily searched).
Randomize the question sequence and/or answer choices.
Display one question per page, or at least fewer questions per page. This makes it harder for students to take a screenshot of the questions in bulk. 
Craft questions that require critical thinking: Avoid straightforward identification questions, where students can answer through a quick search.
Ask students to select all of the correct answers (use multiple-select type and change the setting to "correct answers" to award partial credit).
Provide limited views of results upon submission. Limiting the viewing window does not prevent copying but it can reduce the ability to go back later to copy.
Use remote proctoring opens in new window for high-stakes exams. The downside can be technical obstacles, cost, and privacy issues (e.g., use of webcams).

Time limits on exams/quizzes
If you are giving an online exam, time-limits help to both reduce cheating and encourage more studying. See The Value of Time Limits on Internet Quizzes opens in new window.
"Time limits on exams are associated with better learning and exam performance because they reduce the opportunity to look up answers in lieu of learning the material."
There is also a setting in D2L quizzes to disable right-click. This prevents students from doing a quick copy of the whole question in order to search for answers in another window. 
Another potential issue: Submission Views
If the submission view shows all of the questions and what they got right and wrong as soon as they submit it, this can easily be copied and sent to another student without you seeing it posted on the internet. Random selection helps to make this less of an issue but it would be better to have clear end-dates with restricted submission views. Keep the default submission view as "score only" and then don’t show the other details until after the end-date.
Here are recommended Submission View settings.
DEFAULT VIEW
Date: immediatelyShow Questions? NoStatistics: none(Saying "No" to Show Questions means students will only see a score)
ADDITIONAL VIEWS
Display right/wrong answers after the due dateDate: ##/##/####Show Questions? Yes, Show all questions with user responsesShow question answers: NoStatistics: none (or show statistics - your preference)
Back to score only at end of courseDate: ##/##/####Show Questions? NoStatistics: none
Bring the second additional view back to “score only” at the end of the semester so that views are not left open when you copy the course to a new semester.
Reviewing Quiz results
To review quiz activity, go to Assessments > Quizzes and select "Grade" on the pull-down menu by the quiz title. Go to the attempts tab, and click on individual attempts to review results by student. Click on "Attempt Logs" to see the quiz entry and completion for each student.
Use the pull-down menu next to a Quiz title in the Quiz list view, and select Statistics to view Quiz/Question stats (view each tab).
Also, watch student activity within your course content to understand patterns that may alert you to issues. Look at Table of Contents > related tools > view reports > users tab, to compare quiz results with content views to discover potential issues.
Here are the recommendations from the D2L Brightspace Community to help prevent cheating:

On the Edit Quiz page, in the Optional Advanced Properties area, select Disable right click.
Select Disable Email, Instant Messages and alerts (but only if there is an enforced time-limit). Students will not be able to use D2L email in any of their courses while the quiz is pending.
Incorporate question pools into your quizzes to distribute unique sets of questions to users.
In the Quiz Questions area, select Shuffle questions at the quiz level.
If Sections are used, select Shuffle questions in this section.

Note:  You can shuffle within sections rather than shuffling questions at the quiz level if you would like to present auto-graded items first (MC, M-S, T/F) and then present essay (WR) questions later.
*Examples of honor codes

MSU Academic Integrity (PDF) opens in new window
Spartan Academic Pledge opens in new window
Course Hero honor code opens in new window
Chegg Honor Code opens in new window
Quizlet Honor Code opens in new window
Koofers Terms of Use opens in new window

Go to Brightspace D2L Documentation for more on creating and managing quizzes opens in new window.
 
 

 
Since the syllabus is written to correspond to a single class per a single semester, as opposed to other class resources which may be re-used, it acts as an incredible time capsule into one’s class. This page states all the necessary record keeping one should attempt to keep on their syllabi: Course Information, Topics Covered, Major Assessments.
 
Course Information.

Course Title
Location
Meeting Time(s)
Instructor Name
Instructor email
Names of any Teaching Assistants
Office hours (if available) and location 

Topics Covered.

Provide a list of all topics that will be covered during the semester.
Reflections/Questions to Consider:

What topics should be covered in this course?

What topics have other instructors of this course covered?


Why do you want to cover each of these topics?
Is there adequate time to cover all topics listed?

What parts of each topic do students struggle with? Have you allocated enough time for that struggle?


What online/university resources are available to you to help cover those topics?



Major Assessments.

(Due) Date/Time and Location (if applicable)/ of:

Exams
Final Examination
Planned projects


Reflections/Questions to Consider:

How many projects are you planning to have?

How does that support learning objectives?
Is there enough time for each?


How many exams are you planning to give?

Is there adequate material between each for students to be assessed on?


In your view, are the expectations being placed on students reasonable?



 
If you have all these details present in your syllabus, it will be easy for those in the future to know what major events occurred in the class, when they occurred, and what total material students were exposed to. This allows different universities to compare courses across institutions, researchers to view trends in educational practices over time, and verification for any discrepancies that may come up after the course has ended.

Mandatory reporting
If you are an employee and a student or colleague discloses that she or he was a victim of sexual assault or relationship violence, your response and support can make a big difference.
MSU recognizes the complexities associated with fulfilling your mandatory reporting obligations as an employee while offering support and maintaining the relationship you have built with the student or employee. To that end, MSU has created the University Reporting Protocols in order to provide employees with information about the mandatory reporting process, including what happens when a report is made, as well as tips for responding and supporting students and employees.
Unless identified as a confidential source, all university employees are obligated to promptly report incidents of sexual harassment, sexual violence, sexual misconduct, stalking, and relationship violence that:

Are observed or learned about in their professional capacity
Involve a member of the university community or
Occurred at a university-sponsored event or on university property

Employees are only required to report relationship violence and sexual misconduct of which they become aware in their capacity as a university employee, not in a personal capacity.

For more information about employee mandatory reporting roles and responsibilities, download the University Reporting Protocols.

I am a faculty member or instructor.  Is there recommended language I can put in my syllabus to notify students that I am a mandatory reporter?
(EXAMPLES OF RECOMMENDED LANGUAGE)

Michigan State University is committed to fostering a culture of caring and respect that is free of relationship violence and sexual misconduct, and to ensuring that all affected individuals have access to services.  For information on reporting options, confidential advocacy and support resources, university policies and procedures, or how to make a difference on campus, visit the Title IX website at civilrights.msu.edu.
Limits to confidentiality.  Essays, journals, and other materials submitted for this class are generally considered confidential pursuant to the University's student record policies.  However, students should be aware that University employees, including instructors, may not be able to maintain confidentiality when it conflicts with their responsibility to report certain issues to protect the health and safety of MSU community members and others.  As the instructor, I must report the following information to other University offices (including the Department of Police and Public Safety) if you share it with me:

Suspected child abuse/neglect, even if this maltreatment happened when you were a child;
Allegations of sexual assault, relationship violence, stalking, or sexual harassment; and
Credible threats of harm to oneself or to others.

These reports may trigger contact from a campus official who will want to talk with you about the incident that you have shared.  In almost all cases, it will be your decision whether you wish to speak with that individual.  If you would like to talk about these events in a more confidential setting, you are encouraged to make an appointment with the MSU Counseling and Psychiatric Services.