Learning Stack
Learning Stack
Podcast Description
The Learning Stack is a metaphorical framework that captures the layered, interconnected components involved in the process of learning. It draws inspiration from the concept of technology stacks—combinations of tools, frameworks, and protocols used to build software systems—but applies this idea to the intersections of education, cognitive science, and technology.
New episodes every other week.
Listen wherever you get your podcasts.
Podcast Insights
Content Themes
The show explores themes such as effective learning strategies, educational psychology, and instructional design with episodes focusing on topics like multimedia learning principles from Richard Mayer and practical techniques for improving student success with Regan Gurung and John Dunlosky.
The Learning Stack captures the layered elements involved in learning. It draws inspiration from the concept of technology stacks—combinations of tools and frameworks—but applies this idea to the intersections of education, cognitive science, and technology.
New episodes every other week.
Listen wherever you get your podcasts.
Lance Eaton is a writer, educator, and researcher behind AI+Education Simplified and a long-time advocate for open education, technology equity, and rethinking academic publishing.
For essays and expanded show notes, subscribe to the Learning Stack on Substack.
Episode Chapters
00:00 Introduction
01:06 Defining Big I and Small i Innovations
04:25 Tracing AI's effects in Education
06:15 Evaluating Innovations in Education
08:05 On scaling Small i Innovations Responsibly
12:08 Guardrails for Evaluating New Tools
15:43 On Assessments in Higher Education
19:58 Building Trust and Relationships in Education
23:54 The Role of AI in Student Assessment
27:51 Concerns About AI Detectors and Predictive Analytics
31:13 Minimum Viable AI Policy Architecture
34:44 Defining Success for AI Policies in Education
37:08 Implementing AI Policies in Education
38:22 Crowdsourcing AI Policies: Insights and Trends
40:15 Norms in AI Syllabi: Verification and Attribution
41:26 The Serials Crisis in Academic Publishing
42:30 The Rise of For-Profit Publishers
44:44 The Impact of Subscription Models on Access
46:43 The Ethics of Academic Piracy
49:29 The Role of Academic Pirate Networks
50:37 Rethinking Copyright in the Age of AI
52:40 The Future of Open Access and AI
59:33 Access Disparities in Global Academia
01:01:50 The Interplay of Open Licensing and AI
01:06:19 Lance Eaton's Vision for the Future
Resources and Links
Lance's Substack AI + Education = Simplified
Lance's Syllabi Policies for Generative AI Repository
Peter Suber, Open Access (Free Access)
Matt Beane, The Skills Code
Sci-Hub, Library Genesis, Anna’s Archive (discussed in context of academic access)
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The Learning Stack Podcast is produced by the team at Eduaide.Ai
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