#highereducation #teaching #genAI #genai #ai
“What Are We Really Assessing?” Rethinking Evidence of Learning in the Age of AI
“What Are We Really Assessing?” Rethinking Evidence of Learning in the Age of AI
This piece builds on earlier reflections I’ve shared about responsible, transparent and learning-focused use of AI in SACE assessments, extending that thinking into the wider question of how we gather trustworthy evidence of learning. A few weeks ago, in a curriculum meeting, a HASS (Humanities and
·linkedin.com·
“What Are We Really Assessing?” Rethinking Evidence of Learning in the Age of AI
Time, emotions and moral judgements: how university students position GenAI within their study
Time, emotions and moral judgements: how university students position GenAI within their study
The emergence of Generative AI (GenAI) in higher education has prompted considerable discussion within the research community. Despite their centrality, students’ perspectives remain underexplored....
·tandfonline.com·
Time, emotions and moral judgements: how university students position GenAI within their study
#facultydevelopment #ai #edtech | Daniel Stanford
#facultydevelopment #ai #edtech | Daniel Stanford
In January 2024, I asked an auditorium full of community college instructors to tell me which stage of grief resonated most when they thought about their relationship with AI. Here's what they said: 7%: Denial - AI is overrated. I'll just wait it out. 15%: Anger - AI is running amok and undermines critical thinking. 38%: Bargaining - I'd learn more about AI if I wasn't so darn busy. 3%: Depression - What I love about teaching is slipping away. 38%: Acceptance - I'm ready! Where's my AI teaching assistant? How do you think the results would shift if you posed this question to faculty today? Do you think your colleagues are feeling significantly *more* or *less* optimistic about AI than they were a year or two ago? If so, why? #facultydevelopment #ai #edtech
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#facultydevelopment #ai #edtech | Daniel Stanford