Dale Leszczynski leads RMIT University's Generative AI Lab for Education (GAILE), where he's spent the past year building a skills continuum (instead of a single checklist) for roughly 5,000 educators , on the theory that nobody stays an expert in this field for long. Hosts Ryan Lufkin and Melissa Loble talk with Dale about what happened when other Australian university leaders mapped their own institutions against that continuum, and about the debate RMIT staged at its first education conference: are AI tools morally neutral, or does responsibility for them rest entirely on the people using them? And now that AI can do almost anything, what should humans still do themselves?
In this episode:
- RMIT's AI Skills Continuum treats AI skill-building as a moving target, not a fixed benchmark, since what counts as expert practice keeps changing faster than anyone can master it.
- When Victorian university leaders mapped their own institutions against that continuum, most landed at the earliest stage, a sign of a confidence gap more than a competence gap.
- Efficiency is the wrong goal for AI in education, since it's made his own work more expansive, not faster, which means the work itself has to change instead of just speeding up.
- Students at RMIT's new AI advisory board raised concerns about their own learning unprompted, and the thing they asked for most, across every discipline, was consistency, not more rules.
What is Educast 3000?
Ah, education…a world filled with mysterious marvels. From K12 to Higher Ed, educational change and innovation are everywhere. And with that comes a few lessons, too.
Each episode, EduCast3000 hosts, Melissa Loble and Ryan Lufkin, will break down the fourth wall and reflect on what’s happening in education – the good, the bad, and, in some cases, the just plain chaotic. This is the most transformative time in the history of education, so if you’re passionate about the educational system and want some timely and honest commentary on what’s happening in the industry, this is your show.
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