23 episodes

Your hosts Sean Dagony-Clark, Joe Burgess, and Brian Tobal are investigating the ways people learn across all modalities and ages. We'll investigate learning through storytelling, experience, and games. We'll look at learning in schools, businesses, and personal life. We’ll look at everything from learning techniques to educational technology, AI- and computer-assisted learning, effective classroom practices, and traditional and non-traditional learning approaches. Basically: all the ways we learn!

Ways We Learn Sean, Joe, and Brian investigate the ways people learn

    • Education
    • 5.0 • 8 Ratings

Your hosts Sean Dagony-Clark, Joe Burgess, and Brian Tobal are investigating the ways people learn across all modalities and ages. We'll investigate learning through storytelling, experience, and games. We'll look at learning in schools, businesses, and personal life. We’ll look at everything from learning techniques to educational technology, AI- and computer-assisted learning, effective classroom practices, and traditional and non-traditional learning approaches. Basically: all the ways we learn!

    Explainable AI in Healthcare with Akash Parvatikar

    Explainable AI in Healthcare with Akash Parvatikar

    There’s a lot of buzz these days about AI, and in particular Generative AI. But Gen AI is just one facet of the huge artificial intelligence field.
    Today we’ll talk about another facet: one of the ways AI is advancing healthcare through medical diagnosis.
    Joining us is Dr. Akash Parvatikar, an AI Scientist and Product Manager for the PathologyMap platform at HistoWiz, a company accelerating scientific research and discoveries through the automation of histology and digital pathology solutions. Akash specializes in explainable AI for early breast cancer diagnosis and is an advocate of explainable AI in healthcare.
    In this episode, Akash highlights the importance of developing AI models that can 'speak the language of a pathologist' by not only classifying diseases but explaining the decision-making process behind the classification. We’ll get into the challenges of digital pathology, the concept of explainable AI, the process of training AI models with limited data, and the potential future applications of AI in medicine beyond pathology.

    Highlights:

    00:53 Introduction
    02:40 Akash’s Journey into AI and Healthcare
    05:16 Explainable AI in Healthcare
    09:33 High-Resolution Imaging in Pathology
    35:00 The Future of AI in Medicine
    38:48 Concluding Thoughts


    Links and further reading:

    https://www.linkedin.com/in/akash007/
    https://akashparvatikar.github.io/
    https://home.histowiz.com/


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    • 39 min
    AI Policy and Practice in Schools with Eric Hudson

    AI Policy and Practice in Schools with Eric Hudson

    Eric Hudson is serious about creating meaningful learning, and his recent work has focused on AI in education. He says:

    “How we frame AI for ourselves as educators will affect how we frame it for our students, and I believe strongly that how we talk to students about AI will have a lasting impact on how they see its role in their own lives.”

    A few of our conversation topics:


    Students want to produce authentic and meaningful work (not just use ChatGPT for cheating).
    AI can serve as a tool for sparking ideas and offering 'positive friction' in the thinking process, ultimately enhancing the quality of student work.
    We should reimagine AI technologies as academic assistants rather than solely cheating mechanisms.
    AI has potential to empower students and enhance their work.

    Eric is a facilitator and strategic advisor who supports schools in making sense of what’s changing in education. He specializes in learner-centered assessment, human-centered leadership, and strategic program design. Most recently, Eric spent a decade at Global Online Academy (GOA), first as an instructional coach and ultimately as Chief Program Officer, working with schools around the world to rethink where, when, and how learning happens. Prior to GOA, he spent 12 years in the classroom, where he developed his passion for designing learning experiences. Eric serves on the board of the Association of Technology Leaders in Independent Schools (ATLIS) and writes the newsletter "Learning on Purpose" on Substack.



    Highlights:


    02:17 Eric’s Journey in Education and AI
    03:43 Defining AI and Its Impact on Education
    05:10 Exploring the Spectrum of AI in Education: From Skepticism to Empowerment
    09:24 Navigating Academic Integrity and the Power of Productive Struggle with AI
    12:30 Benefits of AI
    18:42 Redefining Assistance: AI as a Tool for Enhancing Learning
    21:39 Assessment in the Age of AI: Rethinking Educational Goals
    23:16 Exploring AI in Education: A Model for Learning
    24:01 Positive Uses of AI in Classroom Settings
    24:13 AI as a Catalyst for Inquiry-Based Learning
    25:23 AI in Language Learning: Bridging Gaps and Building Tools
    26:35 Integrating AI into Academic Content
    27:46 The SAMR Model: Revisiting Educational Technology Frameworks
    28:29 AI and Creativity: Enhancing the Brainstorming Process
    33:39 Addressing Concerns: AI, Copyright, and Equity
    37:24 Strategic AI Integration: Policies and Flexibility for School Leaders
    39:48 Concluding Thoughts on AI's Role in Future Learning



    Links and further reading


    Eric’s Substack: Learning on Purpose: https://erichudson.substack.com/
    Eric on LinkedIn: https://www.linkedin.com/in/ejhudson/
    Po (Japanese translation bot: https://poe.com/JapaneseTutor
    SAMR model ed tech: https://www.edutopia.org/article/powerful-model-understanding-good-tech-integration/
    Article on AI being trained on writers’ work: https://crosscut.com/culture/2023/10/wa-authors-are-teaching-ai-how-write-without-their-consent
    Bloomberg study - racial bias in AI: https://www.bloomberg.com/graphics/2023-generative-ai-bias/


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    • 41 min
    What's Next in AI? with Claire Zau

    What's Next in AI? with Claire Zau

    Everyone’s talking about AI these days, but it’s not that often that you get to speak with someone who can really pull back the curtain on how the future of AI is taking shape.

    But that’s why you listen to Ways We Learn, isn’t it!

    Claire Zau is a Vice President at GSV Ventures, an early stage edtech Venture Capital firm at the forefront of transformative technologies that are shaping the future of education and work. Some notable early investments from GSV are Coursera, Classdojo, Degreed, Guild Education and many more that you’d recognize if you’re in the education space. Claire spends a lot of her time at the intersection of AI & education startups, and writes a weekly newsletter on Substack that you should check out (it’s linked below). She has a B.A. from Stanford and an Masters of Education from UPenn’s Graduate School of Education.

    We discussed the dynamics between incumbents and new ventures in the field of AI, the potential of AI deployment in educational spaces, retention and adoption rates of AI-enabled tools, the importance of user experience in AI applications, emerging trends in AI such as multimodality and personalized AI models and ethical considerations, and a lot more!


    00:54 Introduction
    02:15 Claire's Background and Interest in AI
    03:35 AI in the Education Space: Current Trends
    08:20 AI Tutors and the Challenges of Differentiation
    10:42 AI and Privacy Concerns in Education
    13:36 The Future of AI in Education: Predictions and Opportunities
    19:25 AI and the Transformation of Video Content Creation
    24:21 Navigating Privacy and IP Rules in AI
    28:11 Adapting to New Educational Technology
    28:24 The Rise of EdTech and AI in Schools
    28:48 Differentiating Effective EdTech Tools
    29:07 The Importance of Product Retention and Stickiness
    29:49 The Role of AI in Lesson Planning
    30:42 The Trend of Premium AI Products
    31:11 Understanding Good Retention Numbers
    32:54 The Future of Corporate Learning and Development
    33:17 The Advantage of Incumbents in EdTech
    34:00 The Emergence of Knowledge Search Platforms
    35:23 The Potential of Personal AI Assistants
    40:40 The Future of AI in Education

    Links and further reading

    Claire’s newsletter: aieducation.substack.com

    Companies / AIs mentioned in this episode:


    Amazon Bedrock (https://aws.amazon.com/bedrock/)
    Bard (https://bard.google.com)
    Caktus (https://caktus.ai/)
    Chegg (https://www.chegg.com)
    Degreed (https://degreed.com)
    Glean (https://glean.co)
    GoGuardian (https://www.goguardian.com)
    Gradescope (https://www.gradescope.com)
    Gradient Ventures (https://gradient.com)
    Jasper AI (https://www.jasper.ai)
    Khan Academy / Khanmigo (https://www.khanacademy.org)
    Labster (https://www.labster.com)
    Lensa (https://lensa.com)
    Mem (https://www.mem.ai)
    Notebook LM (https://notebooklm.google/)
    OpenAI (https://openai.com)
    Photomath (https://photomath.com)
    Power School (https://www.powerschool.com)
    Project Tailwind (https://techcrunch.com/2023/05/10/with-project-tailwind-google-aims-to-make-note-taking-smarter/)
    Quizlet (https://quizlet.com)
    Sana Labs (https://sanalabs.com)
    Speak (https://speakai.co/)
    Synthesia (https://www.synthesia.io)
    Tana (https://tana.inc)
    Turnitin (https://www.turnitin.com)
    Wolfram Alpha (https://www.wolframalpha.com)


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    • 44 min
    Upcoming Series: AI

    Upcoming Series: AI

    Ways We Learn is going even deeper into some of our topics by examining them in some short series! We'll start with AI.

    Actually, we've already started! Our last episode was the first in this series: AI in Higher Ed with James Genone!  Next week's episode will feature Claire Zau on What's Next in AI.  And then we'll have Eric Hudson on to talk about AI policy and implementation in schools.

    Find the next episode wherever you found this one, subscribe at welearn.fm, and always keep learning!


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    • 1 min
    AI in Higher Ed with James Genone

    AI in Higher Ed with James Genone

    In our latest episode, Joe, Sean, and Brian welcome James Genone, former Head of Innovation at Minerva Project and now Head of Product and Operations at Atypical AI.



    James shares his perspective on integrating AI into education. He discusses Minerva University's approach to adopting AI, highlighting its potential to take on the labor-intensive parts of education such as grading and providing consistent formative feedback, and emphasizing that the role of human guidance will still be important. He forecasts the future of AI in education, applauds its potential advantages, and shares his views on the challenges the industry may face. The conversation also explores how AI can help improve a student's learning and overall educational experience, and discusses the importance of familiarizing oneself with AI. And along the way we learn more about the unusual and innovative Minerva University.



    From 2015 to 2023 James led product strategy for Minerva's academic partnerships, overseeing general education and curriculum development. He was formerly a philosophy professor, teaching and conducting research in the philosophy of mind and cognitive science.



    00:54 Introduction and Background

    01:46 James' Journey into Education

    03:05 Transition from Academia to Minerva

    04:39 Understanding Minerva's Vision and Approach

    06:49 Exploring AI and its Potential in Education

    09:42 The Impact of Generative AI on Education

    10:15 The Role of AI in Higher Education Strategy

    13:05 The Future of AI in Education

    15:57 The Role of AI in Minerva's Education Approach

    19:32 The Challenges and Opportunities of AI in Education

    31:18 Getting Started with AI in Education

    32:55 The Speed of Learning Generative AI

    34:41 The Power of AI in Education

    36:14 The Limitations of AI as a Tutor

    43:27 The Future of AI in Education

    55:11 The Role of AI in Writing and Thinking

    58:30 Wrap-up

    01:01:30 Bloopers!



    Links and further reading:

    https://www.minervaproject.com

    https://www.minerva.edu

    https://www.minervaproject.com/integrating-ai-white-paper/

    https://www.atypicalai.com/


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    • 1 hr 3 min
    TEASER: Adapt and Evolve (James Genone)

    TEASER: Adapt and Evolve (James Genone)

    James Genone leads innovation at The Minerva Project. He joins us in our next episode to talk about Minerva University, his work with AI in education, and teaching today's students.



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    • 16 sec

Customer Reviews

5.0 out of 5
8 Ratings

8 Ratings

veteran journalist ,

fantastic podcast

It is indeed an impressive, thought provoking podcast. As a journalist, who makes a living from telling (factual) stories and who
Is trained to listen to (and record) stories of others and re-tell them, I find the Learning from Stories episode engaging, even absorbing. I think a discussion on how to discern dishonesty in stories told by printed/electronic/social media and how to respond to them would be very interesting. Looking forward to listen to Does Cheating Matter. Congrats on the new enterprise.

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