Ways We Learn Por arte de portada

Ways We Learn

De: Sean Joe and Brian investigate the ways people learn
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  • Resumen

  • 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!
    Sean, Joe, and Brian investigate the ways people learn
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Episodios
  • Bonus - AI in Education with Amin Shaykho

    Bonus - AI in Education with Amin Shaykho
    Jun 19 2024

    Check it out, it’s a bonus episode of Ways We Learn!

    Amin Shaykho stuck around a bit longer after our main conversation about Kadama (https://open.spotify.com/episode/646angy3O2xLe38y8YlrqF) to discuss AI in education. We talked about prior learning revolutions in STEM fields, AI's potential across all subjects, the importance of AI specialists in schools, and overall the need for educational institutions to adapt and evolve teaching methodologies to better equip students for the future.

    Contents:

    • 00:53 The Role of AI in Modern Curriculum
    • 02:41 Challenges and Risks of AI in Schools
    • 05:15 Real-World Examples and Implications
    • 06:48 The Future of AI Integration in Education
    • 13:03 Conclusion and Final Thoughts

    Links and further reading:

    • https://www.aminshaykho.com/
    • https://www.kadama.com/
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    14 m
  • Learning in the Gig Economy with Amin Shaykho

    Learning in the Gig Economy with Amin Shaykho
    Jun 12 2024

    We’re living in the gig economy. Uber and Lyft are verbs, you’ve stayed at an Airbnb, bought groceries from Instacart… but have you tried a tutoring-on-demand service?

    Meet Amin Shaykho, Founder and CEO of the innovative education platform Kadama. Amin details his journey from immigrant roots to becoming a Forbes 30 Under 30 honoree, with help from his TikTok and Instagram wizardry that garnered 2.5 million followers and over 1 billion views.

    Amin discusses building Kadama, his unique approach to making learning fun for Gen Z through social media and personal connection, and how Kadama approaches the tricky topic of cheating. Along the way, he shares valuable insights on perseverance, entrepreneurship, and the evolving landscape of education in the digital age.

    Contents:

    • 01:48 Meet Amin: From Apple Engineer to Forbes 30 Under 30
    • 04:56 Early Challenges and Lessons
    • 08:09 The Pivot
    • 09:55 Cracking Social Media
    • 19:44 Kadama's Impact
    • 21:46 Popular Subjects and Use Patterns
    • 22:52 Personal Connections
    • 27:37 Cheating
    • 38:37 Tutor Quality Control
    • 43:33 Future Plans

    Links and further reading

    • https://www.aminshaykho.com/
    • https://www.kadama.com/
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    48 m
  • Explainable AI in Healthcare with Akash Parvatikar

    Explainable AI in Healthcare with Akash Parvatikar
    Apr 30 2024
    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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    40 m
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