Category Archives: Course Design

Beginning to Integrate a Framework for AI Literacy Into Existing Heuristics
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Beginning to Integrate a Framework for AI Literacy Into Existing Heuristics

Within education, we are likely familiar with the many cognitive models and heuristics used to depict learning stages or provide frameworks for approaching the art and science of teaching. Bloom’s Taxonomy, Maslow’s Hierarchy of Needs, Piaget’s Theory of Cognitive Development, Vygotsky’s Zones of Proximal Development, and many other models and theories provide conceptualizations of individual steps, thoughts, stages, or actions to be taken in the internalization and mastery of concepts in education, both for students and instructors. It seems a natural progression then that a similar framework would begin to develop in the age of artificial intelligence that helps instructors and students alike understand the stages of development or work to be done in understanding, testing, and applying AI workflows to our current states of learning and teaching. Continue reading

Teaching and Learning Through Tabletop Games

Teaching and Learning Through Tabletop Games

As someone deeply rooted in the intersection of game design and pedagogy, I’m always on the lookout for ways to engage students through games and play. “Tabletop game” can mean a lot of things, but at the most basic they’re exactly what they sound like– games you play on a table. The most common examples of tabletop games are poker games and tabletop roleplaying games (TTRPGs) like Dungeons & Dragons. If you also want to play other games like mahjong, then you may check out mahjong slot here. You may also check out online gambling platforms like 918kiss if you’re looking for exciting prizes. You may also play situs slot games to help you relax and de-stress.

Whether they’re used to build social familiarity, develop communication skills, enhance critical thinking, or simply break traditional lectures’ monotony, tabletop games have carved out a niche as powerful educational tools. Continue reading

Collaborative Efforts in DEI: Reflections on a Universal Design for Learning Faculty Development Program
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Collaborative Efforts in DEI: Reflections on a Universal Design for Learning Faculty Development Program

Sometimes, serendipity plays a remarkable role in our professional journeys. After years of championing Universal Design for Learning (UDL), offering one-off workshops, and engaging in accessibility initiatives for our courses, the perfect opportunity can unexpectedly fall into your lap through unforeseen partnerships. This was precisely the case with our recent faculty development program on Inclusive and Accessible Course Design. Although I had been advocating for UDL for years, it was a conversation between a member of our Center for Teaching & Learning and the Associate Provost for Diversity, Equity, and Inclusion (DEI) that actually led to the creation of this program.

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Bridging the Gap: Cultivating Soft Skills in Students for Lifelong Success 

In my interactions with faculty, a recurring concern emerges: the challenge of fostering essential academic skills in students. These skills encompass, among others, timely submission of assignments and effective communication. Often referred to as soft skills, they form the cornerstone of both academic and future professional success.    Continue reading

Small Steps, Big Impact: Micro Experiments in Teaching
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Small Steps, Big Impact: Micro Experiments in Teaching

Our students are changing…and so should our teaching

I think we are all finding our long-held assumptions about how to create an assessment with safeguards against cheating, “make” students do the weekly readings, and engage students either online or in-person are increasingly proving to disappoint.  Our students are changing and evolving. Jenny Darroch’s Inside Higher Ed “Students Are Less Engaged; Stop Blaming COVID”, asks us to reframe college students as “knowledge workers.”  Peter Drucker first coined the term “knowledge work” in 1959.  He identified six factors that motivate “knowledge workers” to be productive, including a sense of autonomy, opportunities for continuous learning, and an emphasis on quality of work vs quantity.  We need to adapt our teaching and learning strategies, but how do we know what is going to work?   Continue reading

Turning Deadlines From Enemies to Energizers
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Turning Deadlines From Enemies Into Energizers

In a recent Chronicle of Higher Education piece, James M. Lang and Kristi Rudenga discuss combining intrinsic motivation strategies with extrinsic motivators that have come under scrutiny, like deadlines, grades, and punitive course policies. 

These recommendations speak to the moment many educators find themselves in: We’re no longer in the acute phase of the pandemic, where instructors and students are doing the best they can amidst historically challenging circumstances that necessitated changes to many educational norms. Now, we’re grappling with a gray area that’s just as challenging, as we try to decide which educational norms need to be reinstated and which “pandemic lessons” should be integrated into our practice moving forward.

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A Meditation on AI and the Faculty Member

Once in a while, something new appears that monumentally changes the way we as a society do things. It is met with a mixture of fascination and panic, as some wholeheartedly embrace it, while others see the end times coming. 

For many years, we have seen warnings about artificial intelligence: what could happen if it went wrong somehow? What if the machines started to replace us or took control? What about our jobs, our careers, our lives? 

That question is being answered, as of last November. Sometimes AI is used for good and sometimes not. But there is no question—it’s here to stay. Continue reading

How to Build Community in Your Class Without Using Icebreakers

How to Build Community In Your Class Without Using Icebreakers

Research has shown that college students who find a support community in the first 6 weeks of college are more likely to persist and complete their education (Woosley, 2003). Much of this community can be found and created outside of the classroom through co-curricular involvement, however, faculty are in a unique position to influence the success of their students. For example, a 2021 study found that students who felt a sense of belonging in their STEM program were more likely to persist to their second year (Garza et al.).
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Teaching in Tough Times: How to Counter Languishing and Burnout in Higher Education. An image of a match burning down then becoming a seedling.
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Teaching in Tough Times: How to Counter Languishing and Burnout in Higher Education

A quick note before I move into the post–if you find that your feelings run deeper than just your work, or that the challenges you face are pervasive or problematic across other areas of your life, I would encourage you to seek professional counseling or therapy with a licensed mental health professional beyond the recommendations for approaching your work outlined below.

We all likely know the feeling by now, even if we might still lack the specific terminology to explain it. We’re tired, despite sleeping relatively well. We’re feeling “off,” but we’re not sick. We’re feeling lonely or disconnected, though we still get along with our coworkers and students. We may forget project details or course deadlines, or just find it hard to be excited about starting a new endeavor or covering topics in the classroom that once interested us. Is this burnout, or something else? Continue reading

Shifting Tides with AI in Higher Education

For those who are involved in higher education in any way, there is one blaring question that has been circulating feverishly for the past few months: “How can I be sure if my students are using generative AI (ChatGPT, Bard, Bing, etc.) to write their assignments or not?” Fret not, I have the answer that we’ve all been searching for: you can’t. In fact, and perhaps more distressing for some, it’s actually safer to assume that they are using generative AI to help write and ideate their assignments at this point. Does that mean the learning has left the picture? Or is it time to rethink how we assess student learning?

a block of text sailing to the right and morphing into a boat

Before I get into a long, drawn-out (this is a pun, you’ll see why later) metaphor about higher education’s relationship to artificial intelligence (AI), there are a few things I’d like to raise as points of interest: 

  1. This isn’t a new problem.
  2. It isn’t actually even a problem.
  3. There is a lot to be learned from this moment in time, for all of us.

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