There are many active learning modalities informed by different teaching and learning traditions. We envision these modalities on a spectrum. This spectrum can be rearranged depending on the quality ...
College students are habituated to a classroom norm sociologists call civil attention: creating the appearance of paying attention (sitting still, looking awake, scribbling or typing) while ...
Eli is Associate Editor for EdTech Magazine Higher Education. When not in the office, Eli is busy scanning the web for the latest podcasts or stepping into the boxing ring for a few rounds.
Guidance on bringing together academic expertise, students’ lived experience and GenAI’s creative capacity to co-design ...
My last column stated: "Because most poker authorities don't know how to teach, you have to become an efficient learner. Don't just sit there, waiting for an epiphany. Take an active role in your own ...
Active learning, or instructional methods that actively engage students in their own learning, is on the rise. So, too, are physical spaces dedicated to this kind of teaching. These are positive ...
"I've been mentally toying with a scheme that looks like this: separate teaching from grading, then reward teaching that results in good grades. The instructor wouldn't grade his own class; he'd trade ...
Across disciplines and institutions, educators are being called upon to rethink how we equip students for a world shaped by rapid technological and societal change. Passive learning models no longer ...
When Learning is Active, Students See More Value in their College Investment According to Top Hat’s Faculty Preparedness Survey from August 2020, educators were making concerted efforts to prepare for ...
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Spin, Reveal, Learn: How Hidden Layers in Spinner Wheels Are Boosting Classroom Engagement
In an age where attention is short and classrooms are increasingly digital, teachers are constantly searching for ways to make participation more interactive and equitable. One unexpected ally in that ...
Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...
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