We found 183 results that contain "experiential learning"
Posted on: Reading Group for Student Engagement and Success
Posted by
almost 4 years ago
My background in Scandinavian languages and literature keeps rearing its head in various ways after many years. Specifically,when it comes to folklore, magical tales, and perilous journeys toward maturation. In a way, I have become a pedagogical Ashland, of sorts, since coming to MSU in 2015. My journey, an ongoing quest if you will, has been in trying to find that one magical key, which will unlock the enchanted door to greater student interest and involvement in their general education course requirements.
Those of us who teach these courses know that, too often, many students view gen. ed. requirements as hoops to jump through. Something they must satisfy to graduate. Subjects that, they feel, have little to do with the real world, their intended majors, or envisioned careers. Scheduling and convenience more than genuine interest seem to be the determining factor for many students when they choose to enroll in such courses. Put the head down, muddle through, and get it done with as little effort as possible.
But there might be another way.
In my own ongoing quest to motivate and engage the students in my various IAH courses more effectively, I have come back to Bloom's Taxonomy again and again since first learning about it in the 2016-2017 Walter and Pauline Adams Academy cohort. More specifically, it is Bloom's Digital Taxonomy, revised by various scholars for use with 21st century students who exist in an increasingly digital world, that has been especially useful when it comes to designing assessments for my students.
For those who are interested, there are all kinds of sources online -- journal article pdfs, infographics, Youtube explainer videos, etc. -- that will be informative and helpful for anyone who might be interested in learning more. Just search for 'Bloom's Digital Taxonomy' on Google. It's that easy.
For my specific IAH courses, I organize my students into permanent student learning teams early each semester and ask them to create three collaborative projects (including a team reflection). These are due at the end of Week Five, Week 10, and Week 14. Right now, the projects include:
1) A TV Newscast/Talkshow Article Review Video in which teams are ask to locate, report on, review, and evaluate two recent journal articles pertinent to material read or viewed during the first few weeks of the course.
2) A Readers' Guide Digital Flipbook (using Flipsnack) that reviews and evaluates the usefulness of two books, two more recent journal articles, and two blogs or websites on gender and sexuality OR race and ethnicity within the context of specific course materials read or viewed during roughly the middle third of the course.
3) An Academic Poster (due at the end of Week 14) in which student teams revisit course materials and themes related to gender, sexuality, race, ethnicity, class, and identity. In addition, students are asked to examine issues of power, marginalization, disparity, equity, etc. in those same sources and look at how these same issues affect our own societies/cultures of origin in the real world. Finally, student teams (in course as diverse as Film Noir of the 1940s and 50s, Horror Cinema, and the upcoming Contemporary Scandinavian and Nordic Authors) are asked to propose realistic, concrete solutions to the social problems facing us.
Anecdotally, student feedback has been largely very favorable so far. Based on remarks in their team reflections this semester (Fall 2021), students report that they enjoy these collaborative, creative projects and feel like they have considerable leeway to shape what their teams develop. Moreover, they also feel that they are learning quite a bit about the material presented as well as valuable 21st century employability skills in the process. Where their all important assignment grades are concerned, student learning teams in my courses are meeting or exceeding expectations with the work they have produced for the first two of three team projects this semester according to the grading rubrics currently in use.
Beginning in Spring 2022, I plan to give my student teams even more agency in choosing how they are assessed and will provide two possible options for each of the three collaborative projects. Right not, these will probably include:
Project #1 (Recent Journal Article Review and Evaluation)-- Powtoon Animated TV Newscast OR Infographic
Project #2 -- (Review and Evaluation of Digital Sources on Gender and Sexuality OR Race and Ethnicty in our specific course materials) a Digital Flipbook OR Podcast
Project #3 -- (Power, Marginality, Disparity, Equity in Course Materials and Real World of 21st Century Problem-Solving) an Interactive E-Poster OR Digital Scrapbook.
Through collaborative projects like these, I am attempting to motivate and engage the students in my IAH courses more effectively, help them to think more actively and critically about the material presented as well as the various social issues that continue to plague our world, and provide them with ample opportunity to cultivate essential skills that will enable their full participation in the globalized world and economy of the 21st century. Bloom's (Revised) Digital Taxonomy, among other resources, continues to facilitate my evolving thought about how best to reach late Gen Y and Gen Z students within a general education context.
If anyone would like to talk more about all of this, offer constructive feedback, or anything else, just drop me a line. I am always looking for those magic beans that will increase student motivation and engagement, and eager to learn more along the way. Bloom's Digital Taxonomy has certainly been one of my three magical helpers in the quest to to do that.
Takk skal dere ha!
Those of us who teach these courses know that, too often, many students view gen. ed. requirements as hoops to jump through. Something they must satisfy to graduate. Subjects that, they feel, have little to do with the real world, their intended majors, or envisioned careers. Scheduling and convenience more than genuine interest seem to be the determining factor for many students when they choose to enroll in such courses. Put the head down, muddle through, and get it done with as little effort as possible.
But there might be another way.
In my own ongoing quest to motivate and engage the students in my various IAH courses more effectively, I have come back to Bloom's Taxonomy again and again since first learning about it in the 2016-2017 Walter and Pauline Adams Academy cohort. More specifically, it is Bloom's Digital Taxonomy, revised by various scholars for use with 21st century students who exist in an increasingly digital world, that has been especially useful when it comes to designing assessments for my students.
For those who are interested, there are all kinds of sources online -- journal article pdfs, infographics, Youtube explainer videos, etc. -- that will be informative and helpful for anyone who might be interested in learning more. Just search for 'Bloom's Digital Taxonomy' on Google. It's that easy.
For my specific IAH courses, I organize my students into permanent student learning teams early each semester and ask them to create three collaborative projects (including a team reflection). These are due at the end of Week Five, Week 10, and Week 14. Right now, the projects include:
1) A TV Newscast/Talkshow Article Review Video in which teams are ask to locate, report on, review, and evaluate two recent journal articles pertinent to material read or viewed during the first few weeks of the course.
2) A Readers' Guide Digital Flipbook (using Flipsnack) that reviews and evaluates the usefulness of two books, two more recent journal articles, and two blogs or websites on gender and sexuality OR race and ethnicity within the context of specific course materials read or viewed during roughly the middle third of the course.
3) An Academic Poster (due at the end of Week 14) in which student teams revisit course materials and themes related to gender, sexuality, race, ethnicity, class, and identity. In addition, students are asked to examine issues of power, marginalization, disparity, equity, etc. in those same sources and look at how these same issues affect our own societies/cultures of origin in the real world. Finally, student teams (in course as diverse as Film Noir of the 1940s and 50s, Horror Cinema, and the upcoming Contemporary Scandinavian and Nordic Authors) are asked to propose realistic, concrete solutions to the social problems facing us.
Anecdotally, student feedback has been largely very favorable so far. Based on remarks in their team reflections this semester (Fall 2021), students report that they enjoy these collaborative, creative projects and feel like they have considerable leeway to shape what their teams develop. Moreover, they also feel that they are learning quite a bit about the material presented as well as valuable 21st century employability skills in the process. Where their all important assignment grades are concerned, student learning teams in my courses are meeting or exceeding expectations with the work they have produced for the first two of three team projects this semester according to the grading rubrics currently in use.
Beginning in Spring 2022, I plan to give my student teams even more agency in choosing how they are assessed and will provide two possible options for each of the three collaborative projects. Right not, these will probably include:
Project #1 (Recent Journal Article Review and Evaluation)-- Powtoon Animated TV Newscast OR Infographic
Project #2 -- (Review and Evaluation of Digital Sources on Gender and Sexuality OR Race and Ethnicty in our specific course materials) a Digital Flipbook OR Podcast
Project #3 -- (Power, Marginality, Disparity, Equity in Course Materials and Real World of 21st Century Problem-Solving) an Interactive E-Poster OR Digital Scrapbook.
Through collaborative projects like these, I am attempting to motivate and engage the students in my IAH courses more effectively, help them to think more actively and critically about the material presented as well as the various social issues that continue to plague our world, and provide them with ample opportunity to cultivate essential skills that will enable their full participation in the globalized world and economy of the 21st century. Bloom's (Revised) Digital Taxonomy, among other resources, continues to facilitate my evolving thought about how best to reach late Gen Y and Gen Z students within a general education context.
If anyone would like to talk more about all of this, offer constructive feedback, or anything else, just drop me a line. I am always looking for those magic beans that will increase student motivation and engagement, and eager to learn more along the way. Bloom's Digital Taxonomy has certainly been one of my three magical helpers in the quest to to do that.
Takk skal dere ha!
Pedagogical Design
Posted on: GenAI & Education
Posted by
7 months ago
AI Commons Bulletin 2/26/2025
🆚 AI in Qualitative Research: ChatGPT vs. Human Coders
An MSU study examined ChatGPT’s role in qualitative data analysis, comparing AI-augmented and human coding of hotel guest experiences. AI-generated themes aligned with human-coded ones but missed social interactions and safety concerns. A hybrid approach—AI for initial coding with human refinement—balances efficiency and analytical rigor.
Learn More: Sun, H., Kim, M., Kim, S., & Choi, L. (2025). A methodological exploration of generative artificial intelligence (AI) for efficient qualitative analysis on hotel guests’ delightful experiences. International Journal of Hospitality Management, 124, 103974.
🤔 VR Tool with AI Increased Student Learning and Reflection
This empirical study found that students interacting with a VR course tutor increased focus and reflection and were more likely to ask questions, “Within the dialogue with the AI virtual tutor, learners most frequently engaged in discourse centered around collaboratively building on ideas.”
Learn More: Chu, X. et al. Enhancing the flipped classroom model with generative AI and Metaverse technologies. Ed Tech Res Dev (2025).
🧠 Use LLM Prompting to Teach Computational Thinking
Many fields consider computational thinking (CT) to be essential. Hsu (2025) details how to teach this skill using LLM prompting. Also includes interesting ideas for incorporating prompting in a deeper way: meaningful, social prompting, or learner directed prompting
Learn More: Hsu, HP. From Programming to Prompting. TechTrends (2025).
🧭 AI Guidelines at Major Universities are Pretty Predictable
A content analysis of AI guidelines at the top 50 USNWR-ranked institutions reveals key themes: AI use is allowed but must not involve plagiarism or unauthorized assistance, instructors should clearly define AI expectations, and users must follow privacy guidelines by avoiding sharing sensitive or confidential information.
Learn More: Alba et al (2025) ChatGPT Comes to Campus. SIGSCE TS.
Bulletin items compiled by MJ Jackson and Sarah Freye with production assistance from Lisa Batchelder. Get the AI-Commons Bulletin on our Microsoft Teams channel, at aicommons.commons.msu.edu, or by email (send an email to aicommons@msu.edu with the word “subscribe”).
🆚 AI in Qualitative Research: ChatGPT vs. Human Coders
An MSU study examined ChatGPT’s role in qualitative data analysis, comparing AI-augmented and human coding of hotel guest experiences. AI-generated themes aligned with human-coded ones but missed social interactions and safety concerns. A hybrid approach—AI for initial coding with human refinement—balances efficiency and analytical rigor.
Learn More: Sun, H., Kim, M., Kim, S., & Choi, L. (2025). A methodological exploration of generative artificial intelligence (AI) for efficient qualitative analysis on hotel guests’ delightful experiences. International Journal of Hospitality Management, 124, 103974.
🤔 VR Tool with AI Increased Student Learning and Reflection
This empirical study found that students interacting with a VR course tutor increased focus and reflection and were more likely to ask questions, “Within the dialogue with the AI virtual tutor, learners most frequently engaged in discourse centered around collaboratively building on ideas.”
Learn More: Chu, X. et al. Enhancing the flipped classroom model with generative AI and Metaverse technologies. Ed Tech Res Dev (2025).
🧠 Use LLM Prompting to Teach Computational Thinking
Many fields consider computational thinking (CT) to be essential. Hsu (2025) details how to teach this skill using LLM prompting. Also includes interesting ideas for incorporating prompting in a deeper way: meaningful, social prompting, or learner directed prompting
Learn More: Hsu, HP. From Programming to Prompting. TechTrends (2025).
🧭 AI Guidelines at Major Universities are Pretty Predictable
A content analysis of AI guidelines at the top 50 USNWR-ranked institutions reveals key themes: AI use is allowed but must not involve plagiarism or unauthorized assistance, instructors should clearly define AI expectations, and users must follow privacy guidelines by avoiding sharing sensitive or confidential information.
Learn More: Alba et al (2025) ChatGPT Comes to Campus. SIGSCE TS.
Bulletin items compiled by MJ Jackson and Sarah Freye with production assistance from Lisa Batchelder. Get the AI-Commons Bulletin on our Microsoft Teams channel, at aicommons.commons.msu.edu, or by email (send an email to aicommons@msu.edu with the word “subscribe”).
Posted on: #iteachmsu
Posted by
about 1 year ago
I might have to fire Microsoft Copilot if it doesn't catch on soon. . . Let me explain. The second week of each semester, once enrollments have stabilized, I form my classes of 50 students into 10 student learning teams that will collaborate each week through Week 14. In the past, I have used a free, completely random online team-builder app to do this. It's a little time consuming, but basically pretty easy.
This summer, as I was developing 10 podcast episodes that address how we might better integrate GenAI into our classrooms (see The Collaborative Cafe@WSTKS-FM Worldwide on Youtube), it occurred to me that I might be able to engineer more cohesive student learning teams by collecting information from students on Day #1 about their academic strengths and preferences. My idea was to use Copilot to group students in such a way that each person would bring unique talents, skills and abilities to the collaborative table, making for stringer teams that would work more effectively together.
Sounds easy enough, right? Dine in just a few minutes, right? Au contraire!
Actually, I ended up spending at least as much time, if not more, double-checking Copilot's problematic output. Here's what it and I kept running into. Despite a fairly straightforward prompt, Copilot neglected to include ALL students in the class list and doubled or tripled up on other names, randomly ignoring some names and their assets/preferences while assigning others to two or three learning teams at the same time. This happened more than once despite repeated attempts to clarify my initial prompt(s), and Copilot never managed to correct its errors.
In the end, quite a bit of additional time was necessary to comb through what Copilot spit out and fix its mistakes to ensure all 50 students in each section were, in fact, assigned to five-person learning teams. What should have taken five minutes at most, took more than two hours when all was said and done. Time I had not anticipated and don't really have to waste.
Sigh. A rather frustrating way to start the semester. Live and learn, right?
This summer, as I was developing 10 podcast episodes that address how we might better integrate GenAI into our classrooms (see The Collaborative Cafe@WSTKS-FM Worldwide on Youtube), it occurred to me that I might be able to engineer more cohesive student learning teams by collecting information from students on Day #1 about their academic strengths and preferences. My idea was to use Copilot to group students in such a way that each person would bring unique talents, skills and abilities to the collaborative table, making for stringer teams that would work more effectively together.
Sounds easy enough, right? Dine in just a few minutes, right? Au contraire!
Actually, I ended up spending at least as much time, if not more, double-checking Copilot's problematic output. Here's what it and I kept running into. Despite a fairly straightforward prompt, Copilot neglected to include ALL students in the class list and doubled or tripled up on other names, randomly ignoring some names and their assets/preferences while assigning others to two or three learning teams at the same time. This happened more than once despite repeated attempts to clarify my initial prompt(s), and Copilot never managed to correct its errors.
In the end, quite a bit of additional time was necessary to comb through what Copilot spit out and fix its mistakes to ensure all 50 students in each section were, in fact, assigned to five-person learning teams. What should have taken five minutes at most, took more than two hours when all was said and done. Time I had not anticipated and don't really have to waste.
Sigh. A rather frustrating way to start the semester. Live and learn, right?
Posted on: #iteachmsu
Posted by
almost 4 years ago
It's the start of Week Three! Now that enrollments have stabilized, I have students begin working in student learning teams of four-five people this week for the rest of the semester. To assist the student learning teams in my courses, I developed three brief Doodly whiteboard animations in May-June '21 that replace some rather pedestrian Prezi videos used during the 2020-2021 AY. I embed code for these animations in my Week Three course modules on D2L and direct students to them in the Week Three 'Start Here!' guidelines, which are both emailed and shared at the top of the related course module, so student have them in two places. The procedure is similar each week. Anyway, here are links to the animations for those who might be interested:
Week Three: Your Studeunt Learning Team Kick-Off -- https://www.youtube.com/watch?v=MBDLxczyhx4
Week Three: Create a List of Team Values -- https://www.youtube.com/watch?v=_1BgH3x7U4w
Week Three: Ensure Civil Discourse in Your Student Learning Team -- https://www.youtube.com/watch?v=4lYcq6O2w3w
Week Three: Your Studeunt Learning Team Kick-Off -- https://www.youtube.com/watch?v=MBDLxczyhx4
Week Three: Create a List of Team Values -- https://www.youtube.com/watch?v=_1BgH3x7U4w
Week Three: Ensure Civil Discourse in Your Student Learning Team -- https://www.youtube.com/watch?v=4lYcq6O2w3w
Pedagogical Design
Posted on: GenAI & Education
Posted by
7 months ago
AI Commons Bulletin 2/3/2025
Human-curated news about generative AI for Teaching and Learning in Higher Education.
👀 Get an Inside Look at How Students Use a Course Tutor
Social Science educators at Eötvös Loránd University (Hungary) found their simple chatbot for learning statistics boosted critical thinking and active learning for some students, who strongly supported its use.
Learn More: https://www.ksh.hu/statszemle_archive/en/2024/2024_02/2024_02_003.pdf
🔮 The Use of AI Isn’t Enough on Its Own to Predict Student Performance
AI’s impact on learning sparks both hype and warnings, with evidence supporting both views. This balance is likely to persist through the next academic year.
Learn More: https://journals.sta.uwi.edu/ojs/index.php/qef/article/view/9338
🎓 DOE’s AI Recommendations for Postsecondary Education
Establish transparent policies
Create/expand infrastructure to support AI
Rigorously test and evaluate AI-driven tools, supports, and services
Forge partnerships with industry, nonprofit, and other HE institutions
Review and update program offerings to address the growing impact of AI on future careers
Learn More: https://tech.ed.gov/ai-postsecondary/
👀 Soon Students Can Let ChatGPT “See” Their Screen
Expect this to have a big impact on teaching and learning practices. Some of the possible ways an AI could assist a student:
- Walk through a multi-step assignment
- Tutor how to use a software application
- Provide feedback as the student sketches out an answer
- Craft an answer to an instructor's question during a synchronous online course
Learn More: https://www.youtube.com/watch?v=NIQDnWlwYyQ
Bulletin items compiled by MJ Jackson and Sarah Freye with production assistance from Lisa Batchelder. Get the AI-Commons Bulletin on our Microsoft Teams channel, at aicommons.commons.msu.edu, or by email (send an email to aicommons@msu.edu with the word “subscribe”).
Human-curated news about generative AI for Teaching and Learning in Higher Education.
👀 Get an Inside Look at How Students Use a Course Tutor
Social Science educators at Eötvös Loránd University (Hungary) found their simple chatbot for learning statistics boosted critical thinking and active learning for some students, who strongly supported its use.
Learn More: https://www.ksh.hu/statszemle_archive/en/2024/2024_02/2024_02_003.pdf
🔮 The Use of AI Isn’t Enough on Its Own to Predict Student Performance
AI’s impact on learning sparks both hype and warnings, with evidence supporting both views. This balance is likely to persist through the next academic year.
Learn More: https://journals.sta.uwi.edu/ojs/index.php/qef/article/view/9338
🎓 DOE’s AI Recommendations for Postsecondary Education
Establish transparent policies
Create/expand infrastructure to support AI
Rigorously test and evaluate AI-driven tools, supports, and services
Forge partnerships with industry, nonprofit, and other HE institutions
Review and update program offerings to address the growing impact of AI on future careers
Learn More: https://tech.ed.gov/ai-postsecondary/
👀 Soon Students Can Let ChatGPT “See” Their Screen
Expect this to have a big impact on teaching and learning practices. Some of the possible ways an AI could assist a student:
- Walk through a multi-step assignment
- Tutor how to use a software application
- Provide feedback as the student sketches out an answer
- Craft an answer to an instructor's question during a synchronous online course
Learn More: https://www.youtube.com/watch?v=NIQDnWlwYyQ
Bulletin items compiled by MJ Jackson and Sarah Freye with production assistance from Lisa Batchelder. Get the AI-Commons Bulletin on our Microsoft Teams channel, at aicommons.commons.msu.edu, or by email (send an email to aicommons@msu.edu with the word “subscribe”).
Posted on: #iteachmsu
Posted by
about 1 year ago
Hello and welcome all!
The 2024 Educator Developers Network (EDN) is shaking and baking, moving and quaking!
This is a collaborative space for anyone passionate about improving teaching through effective design, pedagogy, and technology, and anyone who provides training, consultation, instructional/learning experience design, or other learning and development support to instructors on campus. Here, anybody with an interest in enhancing education can come together, share their experiences, and mutually learn from one another. Our synchronous meetings are the 1st Tuesday of every month, were people share their department’s work, ask for advice, or celebrate success. We also communicate asynchronously in our Educator Developers Network channel.
The goals of the network are to provide a dedicated location for people to share ideas and ask questions around instructor support, learning and development, promoting useful practices and ideas to campus at large, foster community through regular meetings that highlight accomplishments and central services, and archiving and externalizing conversations. Our asynchronous discussions occur in Microsoft Teams, where we have an initial structure of channels for members to explore MSU’s Learning Management System (D2L - Brightspace), discuss course design, or seek out technology recommendations and tips. Ultimately, EDN is a place to source answers to your questions or ask for help, participate in the community, and share what you know with others!
Come share your work and ideas! Be part of a learning community with other professional in learning development, training, design, pedagogy, technology, and anyone who provides consultations and instructional/learning experience design. Come join the network!
Join the Educator Developers Network
https://teams.microsoft.com/l/team/19%3ae51cb2ed28a14bee8346fa507cff42ad%40thread.skype/conversations?groupId=13506591-8eca-4a14-a674-69a08dfd6020&tenantId=22177130-642f-41d9-9211-74237ad5687d
The 2024 Educator Developers Network (EDN) is shaking and baking, moving and quaking!
This is a collaborative space for anyone passionate about improving teaching through effective design, pedagogy, and technology, and anyone who provides training, consultation, instructional/learning experience design, or other learning and development support to instructors on campus. Here, anybody with an interest in enhancing education can come together, share their experiences, and mutually learn from one another. Our synchronous meetings are the 1st Tuesday of every month, were people share their department’s work, ask for advice, or celebrate success. We also communicate asynchronously in our Educator Developers Network channel.
The goals of the network are to provide a dedicated location for people to share ideas and ask questions around instructor support, learning and development, promoting useful practices and ideas to campus at large, foster community through regular meetings that highlight accomplishments and central services, and archiving and externalizing conversations. Our asynchronous discussions occur in Microsoft Teams, where we have an initial structure of channels for members to explore MSU’s Learning Management System (D2L - Brightspace), discuss course design, or seek out technology recommendations and tips. Ultimately, EDN is a place to source answers to your questions or ask for help, participate in the community, and share what you know with others!
Come share your work and ideas! Be part of a learning community with other professional in learning development, training, design, pedagogy, technology, and anyone who provides consultations and instructional/learning experience design. Come join the network!
Join the Educator Developers Network
https://teams.microsoft.com/l/team/19%3ae51cb2ed28a14bee8346fa507cff42ad%40thread.skype/conversations?groupId=13506591-8eca-4a14-a674-69a08dfd6020&tenantId=22177130-642f-41d9-9211-74237ad5687d
Posted on: #iteachmsu
Posted by
over 3 years ago
Just completed a third WSTKS-FM Worldwide podcast, this time explaining my rationale behind, and approach to "digital collaborative learning for the 21st century." The planned first series of a dozen or so podcasts is pitched toward students. As the series moves forward, it will provide practical guidance on how to collaborate more effectively as part of a student learning team.
Youtube -- https://www.youtube.com/watch?v=wRhmJzit0Vc&t=485s
AnchorFM/Spotify -- https://anchor.fm/stokes-schwartz/episodes/Episode-3----Digital-Collabortaive-Learning-for-the-21st-Century-Explained-e1j2eec
Instagram -- https://www.instagram.com/p/CeBZla3r2We/
Twitter -- https://twitter.com/WSTKSFM
Youtube -- https://www.youtube.com/watch?v=wRhmJzit0Vc&t=485s
AnchorFM/Spotify -- https://anchor.fm/stokes-schwartz/episodes/Episode-3----Digital-Collabortaive-Learning-for-the-21st-Century-Explained-e1j2eec
Instagram -- https://www.instagram.com/p/CeBZla3r2We/
Twitter -- https://twitter.com/WSTKSFM
Pedagogical Design
Posted on: CISAH
Posted by
over 3 years ago
Hope this is the right place to share this:
10 Individual Reflections @ two points each (essentially “Gimmes”).
Starting in Week Two, students are asked to develop (guided) reflections on their independent and (starting in Week Three) collaborative coursework for a given week. Not only do they articulate their new learning, they connect that to prior knowledge as well as examine their work habits and related choices. Students have the following options for these reflections:
• Traditional 2-3 page essay
• 5-6 minute Voice Recording or Video
• Sketchnotes (a hybrid of note-taking and creative doodles that presents students’ grasp of new information, gleaned from scholarly reading, and connection of those ideas to specific novels, plays, or films in the course)
Collaborative Project #1 @ 20 possible points (Due at the end of Week Five)
Student learning teams review and evaluate two recent journal articles (less than ten years old) on material presented during the first third of the course. The project also includes a works cited or bibliography page and collaboratively written (guided) reflection on team work habits and related choices. Teams can choose between:
• TV Newscast (WeVideo)
• TV Talkshow (WeVideo)
• Podcast -- starting in Fall 2022 – (anchor.fm)
Collaborative Project #2 @ 20 Possible Points (Due at the end of Week 10)
Student learning teams review and evaluate two books, two journal articles, and two digital sources to have to do in some way with intersections between course material on one hand, and systems of power, oppression, equity, and justice on the other AND create a readers’ guide based on that work. The project also includes a works cited or bibliography page and collaboratively written (guided) reflection on team work habits and related choices. Teams can choose between:
• Readers’ Guide Flipbook (Flipsnack)
• Reader’s Guide Infographic (Canva)
Collaborative Project #3 @ 20 possible points (Due at the end of Week 14)
Student learning teams 1) revisit five to six novels, plays, or films presented in the course, 2) examine them in terms of power, oppressions, equity, and justice, AND 3) brainstorm practical solutions to how we might better address similar longstanding ills in 21st century society. The project also includes a works cited or bibliography page and collaboratively written (guided) reflection on team work habits and related choices. Teams can choose between:
• Interactive Academic Poster (Power Point or Prezi)
• Interactive Digital Scrapbook (Canva)
Capstone Project – Individual Semester Reflection @ 20 Possible Points (Due at the end of Week 15)
Students develop a guided reflection in which they revisit and evaluate their learning for the course. Students have the following options:
• Traditional Five to Six-page Self-Assessment Essay
• Five to Six-minute Self-Assessment Video
Questions for “Guided” Individual or Team Reflection
• For you introduction, describe your work and related activities for the week/semester in general.
• Briefly describe the projects, processes, and skills you will discuss.
• Discuss three points/projects you found most enjoyable and explain why.
• Explain three processes for the projects described above. Describe how the processes were challenging and rewarding.
• Explain three skills you gained or improved upon during the week/semester. These do not have to relate to what you have discussed already, but they can.
• Describe why you find these new or improved skills interesting, useful, enjoyable, and/or challenging.
• How might you improve your independent and/or collaborative work habits and related choices in the course?
• Describe your biggest “A-ha Moment” this week/semester.
• How does that same “A-ha Moment” connect to something you have learned in other courses?
• In your conclusion, do not simply summarize what you have already said. Answer the implied “So, what?” question.
• Leave yourself (and your reader) with something to think about.
• Remember, this is not a forum to complain about team members, assignments, the course, instructor, or previous grades.
10 Individual Reflections @ two points each (essentially “Gimmes”).
Starting in Week Two, students are asked to develop (guided) reflections on their independent and (starting in Week Three) collaborative coursework for a given week. Not only do they articulate their new learning, they connect that to prior knowledge as well as examine their work habits and related choices. Students have the following options for these reflections:
• Traditional 2-3 page essay
• 5-6 minute Voice Recording or Video
• Sketchnotes (a hybrid of note-taking and creative doodles that presents students’ grasp of new information, gleaned from scholarly reading, and connection of those ideas to specific novels, plays, or films in the course)
Collaborative Project #1 @ 20 possible points (Due at the end of Week Five)
Student learning teams review and evaluate two recent journal articles (less than ten years old) on material presented during the first third of the course. The project also includes a works cited or bibliography page and collaboratively written (guided) reflection on team work habits and related choices. Teams can choose between:
• TV Newscast (WeVideo)
• TV Talkshow (WeVideo)
• Podcast -- starting in Fall 2022 – (anchor.fm)
Collaborative Project #2 @ 20 Possible Points (Due at the end of Week 10)
Student learning teams review and evaluate two books, two journal articles, and two digital sources to have to do in some way with intersections between course material on one hand, and systems of power, oppression, equity, and justice on the other AND create a readers’ guide based on that work. The project also includes a works cited or bibliography page and collaboratively written (guided) reflection on team work habits and related choices. Teams can choose between:
• Readers’ Guide Flipbook (Flipsnack)
• Reader’s Guide Infographic (Canva)
Collaborative Project #3 @ 20 possible points (Due at the end of Week 14)
Student learning teams 1) revisit five to six novels, plays, or films presented in the course, 2) examine them in terms of power, oppressions, equity, and justice, AND 3) brainstorm practical solutions to how we might better address similar longstanding ills in 21st century society. The project also includes a works cited or bibliography page and collaboratively written (guided) reflection on team work habits and related choices. Teams can choose between:
• Interactive Academic Poster (Power Point or Prezi)
• Interactive Digital Scrapbook (Canva)
Capstone Project – Individual Semester Reflection @ 20 Possible Points (Due at the end of Week 15)
Students develop a guided reflection in which they revisit and evaluate their learning for the course. Students have the following options:
• Traditional Five to Six-page Self-Assessment Essay
• Five to Six-minute Self-Assessment Video
Questions for “Guided” Individual or Team Reflection
• For you introduction, describe your work and related activities for the week/semester in general.
• Briefly describe the projects, processes, and skills you will discuss.
• Discuss three points/projects you found most enjoyable and explain why.
• Explain three processes for the projects described above. Describe how the processes were challenging and rewarding.
• Explain three skills you gained or improved upon during the week/semester. These do not have to relate to what you have discussed already, but they can.
• Describe why you find these new or improved skills interesting, useful, enjoyable, and/or challenging.
• How might you improve your independent and/or collaborative work habits and related choices in the course?
• Describe your biggest “A-ha Moment” this week/semester.
• How does that same “A-ha Moment” connect to something you have learned in other courses?
• In your conclusion, do not simply summarize what you have already said. Answer the implied “So, what?” question.
• Leave yourself (and your reader) with something to think about.
• Remember, this is not a forum to complain about team members, assignments, the course, instructor, or previous grades.
Pedagogical Design