I was with a group of faculty members as they watched a live demonstration of a new built-in AI tool in the learning management system. With a single line of command, the vendor representative generated an entire course module in seconds: topic descriptions, learning goals, readings, PowerPoint slides, practice activities, quizzes, and exams. The quizzes and exams could even be graded automatically.
Everything many of us had spent years learning to design appeared instantly.
“Man! I LOVE this tool!”
Have you discovered a tool that changes everything in your teaching? Maybe it makes your grading simpler or easier, or maybe it provides a more interesting or thought-provoking way to engage your students with the material.
You may have even heard that the tool you like can integrate with your learning management system (LMS), and are wondering about the process of getting the tool adopted on a larger scale for your department, college, or even the whole institution.
Here’s a handy guide to everything “third-party”, and how you can best make use of these resources in your class. Continue reading
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. Even photo editing tools are now powered by AI to achieve various effects. The Deepnude tool, for instance, can create copies of portrait photos and create their more sensual versions. Continue reading
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
Today’s blog post is brought to you by representatives from our team of Online Learning Ambassadors (OLAs). In 2020, like countless other institutions, DePaul University moved classes online in response to the growing COVID-19 pandemic. To help instructors unfamiliar or uncomfortable with the transition to Zoom, the Center for Teaching and Learning created a new team of student employees designed to help support students and instructors. Although we’ve returned to campus now, some of the new online modalities remain, so the need and appreciation for the OLAs remains as well.
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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.
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
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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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?
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:
When ChatGPT emerged last year, a segment of academia panicked in response to articles suggesting that students could get an AI to write their term paper and you, the instructor, would be none the wiser. Some are ready to write a eulogy for human authorship altogether. Continue reading