Learning Outcomes Leaders: Season 1 Highlights from 11 Leaders
Welcome to episode 012 of Learning Outcomes Leaders, the higher education podcast from Genio.
Eleven higher education leaders, one shared question. What actually helps students succeed?
This season 1 wrap brings together the best advice from every guest, covering student success, retention data, AI, accessibility and the transition into college, so you can take ideas straight back to your own institution.
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What will you learn from this episode?
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How can institutions focus on the students they have, not the ones they want?
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Why should every data project start with one simple question?
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Why does measuring impact matter more as AI changes higher education?
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How do you win faculty support for HyFlex and other big changes?
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Why must colleges teach AI skills, ethics included?
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How can colleges make student success financially sustainable?
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Why should faculty ask employers how graduates use AI?
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Where should you start with student success data?
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Why is working in higher education more than just a job?
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How can accessibility staff say no with empathy?
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Why is personalization AI's biggest opportunity in education?
Listen to the full conversation below, or on your favorite podcast app.
Quick answers from the episode
How should higher ed leaders start a new student success initiative?
Higher education leaders should start small and build trust when it comes to new student success initiatives. Heather Chapman's advice is to pair one simple analysis with one engaged stakeholder. Tyler Walsh suggests starting with a simple question your leadership might ask, and bringing data analysts in from day one. James Moore looks for small wins with faculty first, including things he can take off their plate.
How should colleges prepare students for AI?
Colleges should teach AI, ethics included, to prepare students. Amy Tureen argues faculty's personal views about AI shouldn't limit students' access to the skills, and that ethics belongs in every AI course. Denise Henry urges colleges to ask industry partners how graduates use AI, so students aren't caught out in a job interview.
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