The average 12-year-old is playing tennis and hanging out with friends. Kaz Keller is doing those things but is also building a thriving AI education business. Keller hosts workshops, training everyone from 12-year-old peers to 90-year-old community members on how to use AI. In this interview, we learn how Kaz teaches AI, why he thinks AI is powerful and should be taught in schools, his newfound appreciation for his teachers, and how his dream is a selfie with Elon Musk. This conversation is a powerful reminder that everyone now can learn thanks to AI. Kaz shows that the only barrier is the courage to try it. Enjoy meeting Kaz, and make sure to check out his new YouTube channel:  @KazExplainsTech  Subscribe for future episodes and learn more about Kaz at: http://fivemin.ai/

Special guest Len Loving joins hosts Serj and Scott to dive into the fascinating world of AI in education. With backgrounds from Japan, the UK, and the US, the conversation explores the cultural context surrounding the use of AI in education. They discuss the transformative potential of AI, debunk misconceptions about its role in replacing educators, and highlight how AI can enhance teaching practices. From personalized learning experiences to fostering emotional connections, this conversation sheds light on the future of education and AI's possibilities.

The discussion also explores the challenges of ensuring equitable access to AI tools and resources and data security concerns. Len shares his experiences and envisions grassroots efforts to bridge the gap and make AI accessible to all. Furthermore, the episode delves into topics such as plagiarism, cultural understanding, and the future of AI in education.

Join Serj, Scott, and Len as they provide insights and predictions for the future of AI in education. Whether you're an educator, student, or simply interested in the intersection of technology and learning, this episode offers thought-provoking discussions and practical perspectives. Tune in to The Ed3 Podcast and be part of the conversation shaping the future of education. Don't miss out—listen and share this episode with others!

Hope Paterson is a transformational coach and advocate for change in education. Her passion for connecting people and fostering a culture of creativity and inspiration shines through in this episode as she shares her insights and experiences.

Hope discusses the daring pivots that she believes the education industry needs to make, emphasizing the importance of thinking differently and having the courage to challenge traditional approaches. We delve into alternative learning paths and how Hope's experiences as a parent influenced her approach to education. Hope shares valuable advice for parents and educators, encouraging them to let go of rigid structures and embrace the uniqueness of each learner.

Paterson also dives into the importance of creating a culture that supports educators' emotional well-being and helps them regulate their nervous systems. She shares her insights on building connections and communities, highlighting the power of intergenerational learning and the role of technology in facilitating collaboration and inspiring innovation.

Ultimately, Hope is optimistic for the future of education. Enjoy this episode. I hope it helps you take daring pivots alongside Hope.

In this week of Ed3: Unplugged, Serj Hunt and Scott Meyer discuss the role of AI in education and how it can help teachers become builders.

We explore the four identities of a teacher, beginning with a reporter who regurgitates information and ending with a role model who competes with AI-powered chatbots that can teach students on their own.

We then dive into tools for teachers to use AI to improve their classroom instruction. The first is Nolej.AI, which transcribes and summarizes classroom lectures, creating flashcards and definitions for students to review. The second, Save All AI, enables teachers to create and share flashcards on any subject with their students.

Then we look at how AI could take note-taking to the next level, allowing students to capture ideas and conversations using microphones, which can then be shared and expanded upon. Ultimately, AI in the classroom can free up time for teachers to focus on the humanizing aspects of education, including coaching, social-emotional learning, and career development.

Overall, this conversation provides insight into how AI can be used as a tool for teachers to enhance their instruction, and highlights the importance of bringing humanity back into the classroom.

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Watch the episode on YouTube: https://www.youtube.com/@ed3gg

Chapters of the episode:

(0:00) Introduction (0:30) Discussion of the role of AI in education (2:00) The different stages of teacher identity (4:00) The importance of teachers becoming lifelong learners (5:30) Tools for teachers, including Save All and Knowledge AI (8:00) Bringing humanity into the classroom (10:00) Conclusion

Dr. Sabba Quidwai sparks innovation by building empathy. Her work as an educator, podcaster, and even educational movie star has helped schools build trust and reimagine what education can be.

In this episode, she reminds us that we have the agency to create the future, and it starts with asking ourselves who we want to be. We explore how educators can balance the macro and micro worlds of technology and classroom instruction, and how to encourage them to take agency in their teaching practice.

Quidwai shares the importance of empathy, building trust and relationships with colleagues, and instilling psychological safety in organizations to truly enable change. Ultimately, this empathetic foundation will enable teachers to better take risks and prepare their students.

This conversation is a great reminder of the humans in the loop in all technology and the human needs that underpin cultural change.

I think you'll enjoy!

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Learn more about Quidwai: https://designingschools.org/

Watch the episode on YouTube: https://www.youtube.com/@ed3gg/

According to McKinsey, nearly 40% of Americans identify as independent workers, up from just 27% seven years ago. In the future, more of the labor market will focus on fractionalized small bounties that freelancers can pick up and complete.

This week's episode of Ed3: Unplugged discusses the future of work and education, focusing on fractional talent and fractional talent marketplaces.

Serj Hunt and Scott Meyer discuss how project-based learning can help people learn skills and earn money by doing small bounties. They also introduce a product they built this week for Ben's Bites' Hackathon, using chatbots to generate project briefs and post bounties on talent marketplaces.

Ultimately, fractional work and fractional education can benefit the economy, but metrics and assessments must be developed to prove their effectiveness. Re-skilling is now an Olympic sport, and workers will need to learn new skills every four years. This opens up new potential for learning and working people, as long as they are open to change.

Enjoy this week's episode. Watch it on YouTube here: https://www.youtube.com/@ed3gg/

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This lively Ed3: Unplugged discussion explores the concepts of attribution in an age when answers are everywhere.

Serj Hunt joins Scott Meyer to look at how teachers could train AI models and sell those models to other teachers. We talk about project-based learning and how to map those efforts to jobs. Then, we look at how technology might close the loop on identifying what to learn and getting credit for that learning.

Serj shares the concept of intelligent cooperation, where an individual can share a problem or job to be done. Then an AI can map the steps to get there. This model could solve a big problem in the world of fractional work, which is creating the scope for bounty workers.

This episode is a great exploration of the challenges that face education in the AI Age and the potential to connect learners with opportunities.

As always, subscribe and watch this episode on YouTube: https://www.youtube.com/@ed3gg/

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What skills are needed for the future?

In this Ed3: Unplugged, Serj Hunt argues it is a moving target, but key skills like adaptability and agency will be needed regardless of technological change.

Scott Meyer and Hunt discuss algorithmic thinking and compare it to other frameworks like systems thinking. It is possible that the ability to communicate with machines will (or is) a key skill. It will become more important as we move towards the Age of Intelligence, where we must gather and interpret data, even if we never have perfect data. This short, focused discussion is a great way to think about the future of learning. Hope you enjoy it! Subscribe for the latest episodes and articles at: https://www.ed3.gg/ Also, find the Ed3 Podcast on your favorite podcast player.