We found 283 results that contain "virtual events"

(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
 

2025's National Day of Racial Healing will occur on Tuesday, January 21. The American Association of Colleges and Universities has called on colleges and universities to "engage in activities, events, or strategies that promote healing, foster engagement around issues of racism, bias, inequity, and injustice, and build an equitable and just society where all individuals can thrive" as part of the National Racial Day of Healing. The National Day of Racial Healing is "a time to contemplate our shared values and create the blueprint together for #HowWeHeal from the effects of racism. Launched in 2017, it is an opportunity to bring [all] people together and inspire collective action to build common ground for a more just and equitable world." As part of this commitment, educators may consider engaging in events during the week, participate in the #HowWeHeal hashtag, and bringing awareness to the day with students. Some activities and events within the MSU and Lansing community includes: 

Read the #HowWeHeal Conversation Guide
Watch the "Changing the Narrative" series
Attend the MSU's 2025 MLK Student Symposium
Attend Lansing's Beloved Community Week
Attend MSU Libraries' Social Justice Film and Discussion on: Fannie Lou Hamer's America

Are you looking to share a quick thought or get some feedback from other educators in the MSU community? If so, the posting feature is the perfect tool.
This tutorial demonstrates the posting function in the #iteachmsu Commons.How do I post in the #iteachmsu Commons?
Under the add button at the top of the page, you are given five options to add an article, playlist, assessment, post or group.   Posts are brief updates used to explore an idea, provide a comment, pose a question, or make an announcement. Posts will appear on the public feed page or in a group feed based on your group memberships.
When you select to add a post, it takes you to the feed page where you can share your post, question or event, or even upload a file.

You can select a category that best fits your post and also add tags that are really helpful for searchability.    
You can also select for your post to appear in a particular group that you are part of, or simply the broader #iteachmsu Commons Community.Click here to watch a video tutorial:

PlanningThis is the fourth article in our iTeach.MSU playlist for the Spartan Studios Playkit.Teaching a Studios course requires more coordination with co-instructors and/or external partners than standard undergraduate courses. It’s important to begin planning your course early and take this planning seriously in order for your course to be successful. During the planning phase, you will be selecting a course theme, choosing the right challenges for your students, developing your syllabus and learning objectives, thinking about recruiting students, and deciding on your course structure.
▶️Course Theme: Form your class around a theme or challenge that is difficult to solve and benefits from many disciplinary perspectives. The topic or project you already have for your course might already relate to a wicked problem; you may just need to make that explicit by iteratively asking yourself why that topic matters. For example:
▶️Defining the challenge: The course topic needs to be significant enough for students to create a meaningful connection to the project (develop passion and drive outside of obtaining a grade, or the “Gravity” in our model), while still being focused enough for students to make progress on their projects within the time and resource confines of a semester course. Striking this balance is important for students to feel connected to the project while also feeling empowered to make a tangible difference. Students should have the agency to shape what their solutions to these problems look like, but you’ll need your judgement to balance between the course’s gravity and the depth of focus on these problems. Ask yourself “what project goals will matter to my students and our partners but be achievable in one semester?” Ultimately, your students’ deliverables (what they create in the course, which can range from a plan, a prototype, or a finished product) will depend on the mix of specific students and majors who show up for the class. 

Too broad:

 worldwide food waste (too intractable and disputed)

Too narrow:

students’ personal food waste is too high (not enough impact)
campus is not aware of MSU’s anaerobic digester (pre-existing solution) 

“Just right”:

food waste on MSU's campus (increase awareness and track campaign’s success)
food waste at a grocery store (partner with a local business)
food waste at the individual level within our community (partner with the municipal government)


▶️Future potential: Consider a course theme with the potential for repeat offerings. The local solutions produced by the class one semester can be built on in the following semesters, or you can emphasize different facets of the problem each semester. Think about how to maintain community partnerships for those longer-term projects (see Partnerships, our next article next in the playlist). Consider roles for students interested in continuing to participate in the course; for example, by returning as learning assistants to mentor teams of enrolled students, or encouraging local partners to create internships or job opportunities.
▶️Attracting students to the course

Recruiting students to a new course is a challenge. Incorporate and prioritize your recruitment strategies as early as possible in your course planning.
If your course will be co-listed in multiple departments, one model for a Studio is “bring your own students”: each faculty member promotes the course in their department and “brings” their own set of students (for example, 4 instructors each bring 15 students from their own discipline). This works for classes where a larger number of students still fits the scope of the project(s).
Another option is to use interdepartmental listings. Any potential to list as a general education requirement (IAH, ISB, ISS) should be taken advantage of, as you can reach a larger pool of interested students. Be aware that obtaining approval for a new gen ed requirement can take up to a year. 

🔧Advisors of participating departments/majors should be made aware of the course offering and can be valuable assets in advertising the course. A compelling course description and interesting project are important draw factors as well. Ask your advisors to share the course description with the campus-wide advisor network to reach interested students in other departments. 
▶️Create Learning Objectives. Consider whether these will be uniform or vary for students in different majors, and what goals the disciplines may share together. Learning objectives can be explicitly flexible (i.e. "gain a skill specific to your own career goals"). Other learning objectives can relate to working on interdisciplinary teams or manage relationships with community partners. Experiential courses can include content learning objectives; if these are uniform, they should be achievable by all students, regardless of their major.
🔧Bloom’s taxonomy is a well-known framework for describing educational goals. It’s a great resource for writing learning objectives. 
▶️Planning Iterative Sprints. Project-based learning benefits from phases of iterative design. One model for Studios courses, described in (Heinrich et al. 2020) is to divide the semester into a content delivery phase followed by applied project work broken up into iterative production weeks, known as sprints, with student reflections. At each completed phase of the sprint, student teams present their prototypes and receive feedback from classmates, instructors, and/or community partners.
🔧Course schedule template for Spartan Studios courses including orientation (burn-in), project training, sequential sprints, and final reflection phases.




Weeks 1-4


Week 5


Weeks 6-8


Weeks 9-11


Weeks 12-14


Week 15




Orientation, content delivery (burn-in)


How to run a project in project-based learning


Sprint 1: Project plan, execution, reflection 


Sprint 2: Apply lessons to project, execution, reflection


Sprint 3: Apply lessons to project, execution, reflection


Submit final project, reflect on course experience





▶️Setting expectations for students. Setting course expectations for students should start at the course listing/department advising and continue with the syllabus, the first few class periods, and periodically throughout the course. The experiential framework of the course and the method of assessment may be jarring for students - they have been trained in traditional education styles for nearly their entire lives. 

Mention in the course description that this is an experiential course.
Clearly explain the experiential approach and assessment style to your students.

▶️Consider an online Studios experience. Think about how these in-person, collaborative experiences can be translated into an online format during the COVID-19 pandemic. We have supported one online Studios course so far, which included synchronous sessions and independent student work. Students can benefit from work on interdisciplinary experiential projects regardless of the modality in which the course is delivered; additional work is required to design what student-faculty and student-student engagements look like for an online course.
🔧Resources from ASPIRE, MSU’s self-paced asynchronous professional development for online teaching
🔧Online platforms can facilitate student brainstorming. Students can contribute to collaborative documents (Google Docs), slides (Google Slides) or whiteboards (i.e. Mural or Jamboard). These and other tools can support student teams’ virtual design processes and work sessions can be visible to faculty in real-time.
Photo by Kaleidico on Unsplash

November is here and with this time of year, we often see an increase in messaging around gratitude, appreciation, and giving thanks. Gratitude is something I’ve always found great value in, and touted anecdotal benefits of. In 2015, I wrote ‘Tis the season of giving thanks: Why gratitude is important in leadership for MSU Extension. Then later, in 2018, I founded MSU’s Thank an Educator Initiative. I saw the invaluable work that people across roles were doing to support students and MSU’s teaching and learning goals. Not only did I see important work, I saw educators making huge impacts on learners' lives and experiences. Simultaneously, I noticed the sheer size (and let’s face it- siloing) at MSU as huge barriers to a) educators being celebrated for their work, and b) educators being about to learn with and from one another. So I started the “Thank an Educator” initiative. 
Thanking an educator is super simple. Any Spartan can visit the Thank an Educator page on the #iteachmsu Commons. At the page, folx will see a brief form where they enter the information on the educator they’d like the thank, and then a short story/sentiment of thanks. That’s it! #iteachmsu does the rest. Every person who is recognized will receive a personalized message via email thanking them for their important work (the submitted story is included here). Then at the end of the academic year, all of the educators submitted for Thank an Educator are also recognized by the Provost with a #iteachmsu Educator Award. Since its initial conception, the Thank an Educator initiative has recognized educators over 550 times! We care about and are committed to celebrating and elevating the work of educators, and know that these efforts make an impact.
In January of 2020, when my son was born, I stopped working in person as a Graduate Assistant on the #iteachmsu Commons. During this parental leave I also moved to the west side of Michigan. The plan was to be remote for the remainder of my GA contract after returning from leave in March. Little did I know, I wouldn’t be alone. I returned to work (and continued as a Postdoc and now Academic Specialist) to meet all my colleagues online! Then reality hits (and continues to keep throwing punches). I couldn't access daycares for my infant because they were shut down. My partner’s business- the one we moved for- also shut down. My family unit’s makeup and health history made us high risk for infection; so ultimately we were first time parents, in a new place, in a vacuum. The isolation was terrible and both my partner and I struggled with the impacts of anxiety and depression. During this same time, I watched as colleagues and fellow educators at Michigan State (while dealing with many, if not all and more, of the same challenges as myself) rose to the occasion. Instructors switched to teaching online. Advisors innovated the ways they held appointments. Graduate students began co-working virtually via zoom. Administrators made extra efforts to transparently share the goings on of the university in personal ways that built community. New programs and training were created to support educators. Events were hosted completely online. In the 13+ years I’ve been at Michigan State, I don’t think I’ve ever seen a more glaring example of “Who will? Spartans Will.”
We're still "in it". The circumstances have continued to change, but educators are still constantly being kept on their toes, challenged to dodge, dive, and duck around barriers; all the while still supporting student success, still serving the teaching and learning mission of the university, still prioritizing health and safety… I’ve observed the toll this constantly changing, uncertain, and sometimes downright scary time has taken on myself and my colleagues. People seem to be yearning for personal connection, time to really see one another, but packed schedules and increasing demands on capacity make it feel challenging to take that time. 
Now, maybe even more than ever, you all - MSU’s educators- deserve to be recognized for the phenomenal work you continue to do, despite extremely challenging circumstances. I know time is in short supply. I know people are burnt out. But please… submit someone to Thank an Educator. The process takes only a handful of minutes (I timed myself and it literally took me 5 minutes) but makes a huge impact. Every single day, I interact with individuals who are doing high impact work to support MSU’s teaching and learning, student success, and outreach mission. I’d guess you do too. Thank them. 
If you need even more convincing, consider the research on practicing gratitude:

Emmons and McCullough (2003) showed that counting your blessings seems to be a much more effective way of enhancing your quality of life than counting your burdens.
Bartlett and DeSteno (2006) found that small acts of gratitude can cause ripple effects that reach farther than you would imagine.
Sheldon and Lyubomirsky (2007), found the regular practice of gratitude and/or positive visualization can lead to a higher quality of life, measured by affect.

Looking for even more? Check out the Greater Good Science Center (UC-Berkley) and all their tools, resources, research, and more!

Sources:
Emmons, R. A., & McCullough, M. E. (2003). Counting blessings versus burdens: An experimental investigation of gratitude and subjective well-being in daily life. Journal of Personality and Social Psychology. 84, 377-389. 
Bartlett, M. & Desteno, D. (2006). Gratitude and prosocial behavior helping when it costs you. Psychological Science. 17. 319-25. 
Sheldon, K.M. & Lyubomirsky, S. (2006) How to increase and sustain positive emotion: The effects of expressing gratitude and visualizing best possible selves, The Journal of Positive Psychology, 1:2, 73-82

Click the image above to access a PDF of the Quick Guide. Remote Communication With Your Students
This quick guide provides an introduction to communicating with your students as you move to remote teaching. It outlines key steps to Plan, Modify, and Implement when making this move to optimize student learning. As with any steps you take in moving to remote teaching, it’s important to anchor your decisions in course learning objectives and to be transparent, flexible, and generous with students.
Plan
Michigan State University has shifted to remote teaching, which means your course will be moving to a digital environment. Remote teaching is a way to continue instruction when face-to-face meetings are disrupted and you are not able to meet in person. When planning for remote teaching, it’s important to develop a communication plan for helping students transition to a remote environment.
Modify
It is important that you develop a communication plan for maintaining ongoing contact with your students about the course. Consider the following:

Clarify your modified expectations and course elements:

When your class will meet. Schedule any virtual sessions during the time your course already meets. This guarantees that students have the availability.
How you will deliver content (e.g. Zoom, recorded lectures, etc.).
How students will engage with one another.
How students will be assessed moving forward.
Changes to assignments.


Tell students how they can contact you and how soon they can expect a reply from you.
Consider using the D2L announcements and discussion board tools to push out course-level communications.

 
Even if you have not yet finalized all the changes to your course, it is important to send a message to your students so they know how to reach you. To get started, here is a sample email you might send:
 
Dear [insert course name here] students,
 
I’m writing to let you know that the University is implementing a remote teaching strategy in response to the novel coronavirus. What this means for you is that we will not be meeting at our normal class location. Instead, we will meet online at the same time our class normally meets. However, I will be hosting the class through Zoom. We will also be using our D2L course site to deliver and collect materials for the class. To access the course, go to https://d2l.msu.edu/. Once you log in with your NetID and password, you should see our course listed under “My Courses”.
 
Over the next few days, I will keep you informed about how our course experience will change. Know for now that we are planning to move forward with the course, and please be patient while we get things shifted for this new mode. I will be back in touch soon with more details.
 
Best,
[Insert your name]
Implement
As your initial form of communication with students, it is important to inform your class often about course changes and expectations. To send emails, you have several options:

D2L email classlist function
The Instructor Systems email tool from the Registrar’s website
Spartan Mail for individual and small group communications

Additional Help
For additional help and support, please check out the other Remote Teaching articles here, or contact the MSU IT Service Desk at local (517) 432-6200 or toll free (844) 678-6200.
 
Attribution 4.0 International (CC BY 4.0)

This week, we are featuring Micaela Flores, Outreach and Retention Specialist, within the College of Veterinary Medicine at MSU. Micaela 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 Micaela 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?  
Responsive
Share with me what this word/quality looks like in your practice?
My role is divided between undergraduate advising and youth outreach programming for traditionally underserved students. When I advise students, I am not only focused on imparting the knowledge and information they need to complete a task or prepare for an opportunity, I focus on where the student is in terms of their familiarity with the systems, departments, or tasks they need to navigate. I listen to their concerns and take my time to understand the things that are important to them and I make sure they leave with a thorough understanding of where they are and what they need to do next. Similarly, when coordinating youth programs, I assess the audience or participants' needs, their existing knowledge and skill levels as well as the needs and desires of the agency requesting the collaboration in effort to create programs and events responsive to the groups’ unique needs.
Have your ideas on this changed over time? if so how?
If I was asked what the role of an educator was as a recent college graduate and high school college adviser, I would have responded with something along the lines of, educators impart knowledge and share information relevant to their educational role. I now understand the importance of meeting students where they are and tailoring my approach or method to fit the needs of the students’ I work with. A one size fits all approach does not work when one’s goal is to provide equitable programs and services.
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 a member of the Diversity, Equity and Inclusion team in the College of Veterinary Medicine, Office of Admissions, Student Life, and Inclusivity. My work is entirely grant funded through the State of Michigan Department of Labor and Economic Opportunity King-Chavez-Parks Initiative for students from underserved backgrounds both financially and academically. I provide academic advising for undergraduate pre-veterinary and veterinary-nursing students as they work towards application and admission to the Veterinary Nursing and Doctor of Veterinary Medicine programs. I also work with youth from our target locations which include Detroit, and Lansing. I have also partnered with groups from Flint and Grand Rapids.CVM, MSU & Community connections:

MSU GEAR UP
MSU GATE Guppy
MSU Latinx Student Success Committee
MSU Assessment and Metrics Working Group
MSU Pre-College Committee
MSU CANR, Pathfinders, AIMS and AIMS-B
MSU Admissions, Dia de La Familia, African American Family Day
MSU CVM Enrichment Summer Program
MSU Office of Cultural and Academic Transitions
MSU Collaborative Learning Center
MSU Student Groups – ASMSU, MSU Preveterinary Club, Delta Tau Lambda Sorority Incorporated.
MSU Dia de La Mujer Conference
MSU New Student Orientation
Michigan Humane (former Michigan Humane Society)
Capital Area College Access Network – CapCan Launch Your Dream Conference
Detroit International Academy for Young Women
Clinton County RESA Career Expo
Flint Area and Capital Area Michigan Career Quest Fairs
Michigan Veterinary Conference
The Fledge – Lansing
Detroit Horsepower

What is a challenge you experience in your educator role?
Time is the biggest challenge. When I began practicing inclusive and responsive pedagogical methods, the amount of time I spent in advising appointments increased significantly. I regularly went over my 30 minute time slots. Now that I am familiar with responsive strategies, appointments are not as long. While time is a challenge it is important to embrace new practices and allow time to learn and adjust.
Any particular “solutions” or “best practices” you’ve found that help you support student success at the university despite/in the face of this? 
As an educator, it is important for me to know my students feel heard and leave with a comprehensive understanding of what was discussed. I have found the technology we have at our fingertips can be leveraged to provide facilitation strategies inclusive of all learners. For example, I always share my screen or seat my students in an area where they can see what I am doing or looking for, I follow up with an email summarizing our discussion, and/or I invite the student to follow up with me via email or by scheduling another appointment with me if we run out of time.
What are practices you utilize that help you feel successful as an educator?
In addition to the best practices listed above, I have created event planning templates to ensure I do not miss or forget critical information. I like to set reminders on my calendar to follow up with students who may be struggling academically as well as reading ESAE reports and following up with students to either congratulate them for their progress or intervene if they are not doing well. This enables me to practice proactive and intrusive advising strategies.
I feel most successful as an educator when I receive positive feedback or sentiments of gratitude from my students, when I see a student who was placed on probation return to good academic standing, or when a student I have advised, supervised, and/or written a letter of recommendation for is admitted to veterinary school.
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?
I would like to see more information relevant to equitable practices to improve the ways in which we teach diverse students in our courses as well as ways to enhance the programs and services we offer. Practicing culturally inclusive or responsive pedagogy seems difficult on the surface or when the concepts are new, but there are simple changes we can embrace that make a world of difference to our students. I would like to learn more from educators who are also doing this work.
What are you looking forward to (or excited to be a part of) next semester?
Next semester, I will continue to make progress towards the Higher, Adult, and Lifelong Education, M.A. program which is where I have picked up inclusive and responsive strategies for teaching and learning. I am excited to continue to learn and improve my educational practice to help my students succeed in higher education.

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! 

Storytelling for Learning 1: Creating Meaning from Chaos
In 1944, experimental psychologists Fritz Heider and Marianne Simmel used the video below in an experiment. They instructed their female undergraduate subjects to write down what happened in the movie.
 
I want you to do the same. Take out some paper, watch the video, and jot down a few sentences about what happened. 
 

 
What did you write down?  What was happening?
 
 
Now watch part of the video below, where some comedians talk about what they saw. You only need watch about a minute of the video to get the idea. (Warning: potentially offensive language...as you can imagine from comedians on YouTube.)
 


 
What is interesting is most people create a story. The characters are a shape. There is a setting of a room, or perhaps a house. Many people see a bullying event, or another form of conflict. 
Yet this is simply a video of shapes moving around a screen, isn't it?
 
Humans are wired to create meaning from input. That is why my aunt sees Jesus in her toast. That is why, when the photo below was taken by NASA in 1975 (yes, that is a real and unedited photo), the public FREAKED out. A face! A human face!  There is life there! They are communicating with us!
 
 

 
 
It is also why we love conspiracy theories. When random things happen, especially bad things, we want a logical explanation. Random bad luck is not an explanation that satisfies us. Thus, Elvis didn't die young. Nope. He faked his death to live in peace, away from the nuisance of fame. Now he is in hiding-- living out his years in a lovely coastal fishing village in Honduras.
 
p>Daydreaming is, for the most part, storytelling. It is us thinking about a possible scenario, planning something in the future and creating the "story" that surrounds it, or just fantasizing about something other than where we are at the moment. 
 
 



How many waking hours do you spend each day daydreaming?


2-3 hours
3-5 hours
5-7 hours
over 9 hours



 
 
 
 
 
 


Created with QuizMaker

 

 
So what is the correct answer to the above?  Scroll down. 

 
And down!
 
 
 
 
 
We spend 7.7 hours each day telling ourselves stories. That’s about half of our waking hours. And then we sleep. And tell stories in our dreams.