Summary
In this conversation, Maurie and Jim Beasley, along with Tina Austin, explore the intersection of artificial intelligence and education, focusing on the importance of metacognition, global perspectives on AI, and the need for innovative teaching methods. They discuss the challenges and misunderstandings surrounding AI tool adoption, the need to rethink assessment frameworks, and the potential for AI to enhance student engagement and critical thinking. Tina introduces her Unblooms framework, which aims to create a more inclusive and effective approach to learning in the age of AI.
Takeaways
Metacognition is thinking about one's own thinking.
AI can eliminate friction points in learning, but we need to reintroduce them.
Global perspectives on education reveal diverse pedagogical methods.
AI can enhance student engagement and provide opportunities for personalized learning.
Misunderstandings about AI tools can hinder effective adoption in education.
Assessment frameworks need to evolve to address AI's capabilities.
Innovative teaching methods are essential to keep students engaged.
Critical thinking and problem-solving should be prioritized in education.
Higher education must adapt to maintain its value in the face of AI.
Unblooms offers a new framework for learning that emphasizes problem-solving and critical engagement with AI.
Chapters
00:00 Introduction to AI in Education
02:25 Understanding Metacognition and Its Importance
04:34 Global Perspectives on AI in Education
07:37 AI's Role in Enhancing Student Engagement
10:18 Misunderstandings in AI Tool Adoption
12:06 Rethinking Assessment in the Age of AI
15:06 The Need for Innovative Teaching Methods
19:06 Fostering Critical Thinking and Problem Solving
23:36 The Future of Higher Education and AI
26:18 Introducing Unblooms: A New Framework for Learning
Summary
In this episode, Maurie and Jim Beasley reflect on the past year and discuss their predictions for AI in 2025 and 2026. They explore the evolving landscape of AI technology, the challenges in education, the political implications of AI, and potential market corrections. The conversation emphasizes the importance of practical applications and the need for honest discussions about AI's future.
Takeaways
They are looking forward to changes in season four.
The couple plans to take on sponsors in 2026.
Jim's predictions for AI have proven accurate.
Education is slow to adopt AI technologies.
Political polarization around AI is expected in 2026.
A sizable correction in the AI market may occur in 2026.
K-12 education is lagging in AI adoption.
The importance of practical applications of AI is emphasized.
The conversation highlights the need for honest discussions about AI.
They are committed to continuing their podcast into the next year.
Chapters
00:00 Introduction and Season Changes
02:54 Predictions for 2025 Review
05:46 Predictions for 2026 Discussion
11:47 Education and AI Adoption
14:39 Political Landscape and AI
16:21 Technology Trends and Market Corrections
23:37 Future of AI and Practical Applications
Summary
In this episode of AI in Action, hosts Maurie and Jim Beasley engage in an unscripted conversation covering a range of topics, including Maurie's recent book signing, the implications of AI policy and regulation, and the distinction between efficiency AI and opportunity AI. They discuss the importance of education in AI adoption, the perception of AI as a wave rather than a bubble, and the challenges faced by rural areas in accessing technology. The episode emphasizes the need for skepticism and innovation in the rapidly evolving landscape of artificial intelligence.
Takeaways
The hosts enjoy unscripted conversations, reminiscent of their early podcast days.
Maurie's book signing was a success, with many kids buying books for their teachers.
There is a need for federal minimum requirements for AI regulations.
AI is viewed as a wave that will continue to evolve, not a bubble that will burst.
The distinction between efficiency AI and opportunity AI is crucial for understanding AI's impact.
Education is essential for bridging the gap in AI adoption.
Rural areas may lose innovative ideas due to lack of access to technology.
Skepticism towards AI can foster trust and verification in its use.
AI can enhance learning opportunities if integrated properly in education.
The hosts plan to discuss AI weapon detection technology in future episodes.
Chapters
00:00 Introduction and Unscripted Conversations
01:14 Book Signing Experience
02:51 Discussion on AI Policy and Regulation
08:49 AI as a Wave, Not a Bubble
14:55 Efficiency AI vs Opportunity AI
22:36 The Importance of Education in AI Adoption
25:43 Skepticism and Innovation in Rural Areas
Summary
In this episode of AI in Action, hosts Maurie and Jim Beasley discuss the implications of artificial intelligence in education, particularly focusing on college admissions, the role of nonprofits in AI education, and the shifting perspectives on the value of college in the age of AI. They emphasize the importance of teaching skepticism towards AI, the need for practical applications of AI tools in education, and the necessity for rural communities to develop their own AI strategies. The conversation also touches on personal anecdotes and the hosts' passion for improving education through technology.
Takeaways
AI is being used to score college essays and tests.
There is skepticism about the effectiveness of AI in education.
Nonprofits play a crucial role in AI education initiatives.
Many students believe that college is not worth the cost.
Trade skills are becoming more valued than traditional college degrees.
Teaching AI skepticism is essential for students' education.
AI tools can enhance learning and teaching methods.
Rural communities need tailored AI strategies for education.
The conversation highlights the importance of practical AI applications.
The hosts emphasize their commitment to improving education through AI.
Chapters
00:00 Introduction and Personal News
02:06 AI in Education: Scoring Essays and Admissions
04:52 Skepticism Towards AI Frameworks in Education
07:16 The Value of College Education in the Age of AI
10:52 Shifting Perspectives: Trade Skills vs. College Degrees
14:42 Teaching AI Skepticism to Students
18:19 AI in Decision Making and Library Book Vetting
21:14 The Role of Nonprofits in AI Education
24:48 Future Aspirations for Rural Communities and AI
Summary
In this conversation, Damien discusses the concept of a perfect education system that caters to individual learning needs, while also highlighting its potential pitfalls. He emphasizes the importance of real-world challenges and the need to develop soft skills such as teamwork and collaboration, which may be overlooked in a personalized learning environment.
Takeaways
A perfect education system may not prepare students for real-world challenges.
Real-life situations often present difficulties that aren't addressed in ideal learning environments.
Soft skills such as teamwork and collaboration are crucial for success.
Education should balance personalized learning with real-world grit.
Debates and budgeting are essential skills that need to be taught.
The absence of challenges in education can lead to a lack of resilience.
Learning should not only be about knowledge but also about navigating difficulties.
Personalized education can sometimes neglect the development of interpersonal skills.
Grit is an essential quality that is often overlooked in perfect education systems.
Education should prepare students for the unpredictability of life.
Summary
In this episode of AI in Action, hosts Maurie and Jim Beasley discuss various aspects of artificial intelligence, including upcoming community events, the implications of AI in healthcare, education, and the future of AI technology with major players like Google and Nvidia. They explore the ethical concerns surrounding AI, particularly in healthcare, and the importance of integrating AI into education. The conversation also delves into the significance of simulations in AI development and the potential for these technologies to shape the future.
Takeaways
The importance of community engagement in AI education.
AI tools can significantly impact healthcare efficiency.
Teachers need to integrate AI into their instruction.
Google and Nvidia are leading the AI technology space.
Simulations can enhance AI development processes.
AI literacy is crucial for future generations.
Ethical considerations in AI healthcare applications are vital.
Nvidia's software stack is a key asset in AI.
AI can help predict real-world scenarios effectively.
Investing in AI technology is a promising opportunity.
Chapters
00:00 Introduction to AI in Action
01:08 Upcoming Events and Community Engagement
04:12 Creepy AI Innovations in Healthcare
08:05 AI in Education: Teacher Perspectives
10:28 The Future of AI: Google and Nvidia
17:26 World Simulations and AI Development
25:40 Training Simulations and Business Processes
32:56 Conclusion and Future Directions
Summary
In this episode of AI in Action, hosts Maurie and Jim Beasley discuss their experiences with artificial intelligence, the challenges of technology in education, and the importance of AI literacy. They explore disparities in access to AI tools by socioeconomic status and emphasize the need for a deeper understanding of AI beyond surface-level knowledge. The conversation also touches on upcoming events, including book signings and community engagement initiatives.
Takeaways
AI literacy is crucial for the workforce of the future.
There is a significant gap in AI education for students.
Socioeconomic status affects access to AI technology.
AI should be taught in schools to ensure equity.
Understanding AI requires more than just using it.
The conversation around AI must include its potential risks.
Healthy skepticism of AI is necessary for critical thinking.
AI literacy tools can help bridge the knowledge gap.
Community engagement is vital for promoting AI education.
Upcoming events highlight the importance of AI discussions.
Chapters
00:00 Introduction and Technical Challenges
01:21 Conversations on AI and Education
03:27 AI Literacy and Workforce Preparedness
06:06 Core Problems in AI Literacy
09:59 Disparities in AI Access
12:38 Bubbles vs. Waves in Technology
14:51 The Role of AI in Education
17:05 Creating AI Literacy Tools
19:20 Upcoming Events and Book Signings
Summary
In this conversation, Maurie and Jim Beasley engage with Dayna Guido to explore the intersection of artificial intelligence and ethics. They discuss the evolving nature of ethical standards in professional practice, the impact of AI on human relationships, and the importance of education in fostering AI literacy. The conversation emphasizes the need for ethical courage in decision-making and the significance of family values in navigating the challenges posed by technology.
Takeaways
AI is reshaping conversations about ethics today.
Ethics involves standards that we agree to live by.
Human relationships must remain central in the age of AI.
We need to interpret ethical codes in light of new technologies.
Education must adapt to teach AI literacy effectively.
Families should define their values in the context of technology.
AI can enhance creativity but may also diminish it.
Ethical courage is necessary for responsible decision-making.
Engaging all senses is crucial for effective learning.
We must hold businesses accountable for ethical practices.
Chapters
00:00 Introduction to AI and Ethics
02:00 Dana Guido's Books and Their Relevance
03:46 Defining Ethics in the Age of AI
09:30 The Impact of AI on Professional Ethics
11:20 Navigating Ethical Gray Areas in Leadership
15:04 The Role of Education in AI Literacy
18:33 Family Values and Digital Life
23:34 Finding Balance with AI in Daily Life
28:09 Concluding Thoughts on Ethics and Humanity
Summary
In this episode of AI in Action, Maurie and Jim Beasley discuss the evolving landscape of workforce training and education in the context of artificial intelligence. They explore how corporate America is moving away from on-the-job training, the impact of AI on job security, and the generational differences in workforce loyalty. The conversation also delves into the challenges faced by K-12 education and the importance of experience in the job market, ultimately highlighting the need for self-education in an AI-driven world.
Takeaways
AI is accelerating the abandonment of on-the-job training.
Entry-level positions are disappearing due to AI.
Generational differences affect workforce loyalty and expectations.
Corporate training is no longer a priority for many companies.
The landscape of employee benefits is uneven and changing.
K-12 education is struggling to adapt to new workforce demands.
Experience requirements in job postings are often unrealistic.
Online education has not closed the gap created by COVID-19.
Self-education is becoming essential in the AI era.
The role of education must evolve to meet the needs of the workforce.
Chapters
00:00 Introduction to AI and Workforce Dynamics
04:38 The Disconnect Between Education and Workforce Needs
10:22 Corporate Training and Employee Loyalty
15:01 The Challenge of Experience Requirements
15:52 Navigating Financial Aid Challenges
17:29 The Impact of Economic Status on Education
19:01 The Evolution of Workforce Training
21:11 Corporate Knowledge and Employee Loyalty
22:57 The State of Education and Teacher Respect
23:45 The Disappearance of Job Training
25:36 The Decline of Practical Skills in Education
27:35 The Contradictions of Online Education
30:37 The Role of AI in Shaping Future Opportunities
Summary
In this conversation, Maurie and Jim Beasley discuss the impact of AI on workplace efficiency and productivity. They explore the paradox of becoming more efficient with AI, the societal expectation of busy work, and the potential for maximizing value by focusing on profit-driven tasks. The discussion highlights the challenges and opportunities presented by AI in the modern workplace.
Takeaways
AI can generate busy work faster than before.
Many fear becoming more efficient due to workplace norms.
The busiest person is often the go-to for tasks.
AI can help create quality work more efficiently.
Efficiency can lead to increased workload.
Maxing out productivity is still a concern.
Focus on tasks that drive company profits.
AI can change the perception of productivity.
Embracing AI can lead to better job performance.
Workplace efficiency is a double-edged sword.
Summary
In this episode of AI in Action, hosts Maurie and Jim Beasley discuss the evolving landscape of artificial intelligence, particularly in the entertainment industry. They explore the emergence of AI-generated actors, the backlash from human performers, and the implications of personality rights in Bollywood. The conversation shifts to the impact of AI on content creation and distribution channels, highlighting the rise of influencers and the commoditization of creativity. They emphasize the importance of trust and curation in an age flooded with AI-generated content, and the value of handmade creations. The episode concludes with reflections on the future of creativity and the role of AI in shaping it.
Takeaways
AI actors are not meant to replace human performers.
The backlash against AI in Hollywood reflects deeper industry concerns.
Personality rights are becoming crucial in the digital age.
AI is changing the landscape of content creation and distribution.
Influencers are capitalizing on the new digital economy.
Trust and curation are essential in a world of AI-generated content.
Handmade products may see a resurgence in value.
The distribution system for content has fundamentally changed.
AI's role in creativity is complex and multifaceted.
Education on using AI as a tool is vital for future generations.
Chapters
00:00 Podcast Setup and Introduction
00:53 AI in Hollywood: The Rise of AI Actors
03:38 Global Implications: AI and Personality Rights
07:38 The Distribution Channel: Evolution and Challenges
11:18 The Impact of AI on Content Creation
15:31 Trust and Curation in the Age of AI
19:09 The Future of Human Creativity and AI
23:06 Conclusion and Future Considerations
Summary
In this episode of AI in Action, hosts Maurie and Jim Beasley explore the latest developments in artificial intelligence, discussing global news, the implications of AI in education, and the challenges of integrating AI into learning processes. They highlight the uneven adoption of AI across different regions and the importance of addressing equity in access to technology. The conversation also explores the concept of agentic automation and the importance of incorporating friction points in learning to improve educational outcomes in a rapidly evolving technological landscape.
Takeaways
There's a lot of AI news happening globally.
The AI bubble is a recurring theme in discussions.
Education systems must adapt to the integration of AI.
Rural and lower-income areas face challenges in AI adoption.
The process of learning is crucial, not just the end product.
Agentic automation presents new opportunities and challenges.
Friction points in learning can enhance educational experiences.
K-12 education needs to evolve with technology.
Measuring learning should go beyond traditional methods.
AI's impact on education requires thoughtful integration.
Summary
In this episode of AI in Action, hosts Maurie and Jim Beasley discuss the evolving landscape of artificial intelligence, its implications for education, and the challenges posed by AI-generated content. They explore recent headlines in AI, the concept of 'knowledge rot,' and the need for new reading skills in the digital age. The conversation emphasizes the importance of engaging students with AI as an active partner in their learning journey, while also addressing the societal impacts of AI on content creation and consumption.
Takeaways
AI is reshaping how we consume information and learn.
The dead internet theory raises concerns about AI-generated content.
Teachers are increasingly using AI tools in their classrooms.
New reading skills are essential for navigating digital information.
AI can be an active partner in education, enhancing learning experiences.
Knowledge rot refers to the decline in deep engagement with knowledge.
Gamification can ignite passion for reading among students.
Understanding different types of reading is crucial for educators.
AI literacy is becoming a fundamental skill for students.
Engaging students' interests can improve their reading habits.
Chapters
00:00 Introduction to AI in Action
02:19 Recent AI Headlines and Developments
07:21 The Dead Internet Theory and Its Implications
11:31 Knowledge Rot: The Impact of AI on Learning
19:03 New Reading Skills for the AI Era
28:53 Igniting Passion and Curiosity in Education
Summary
In this episode of AI in Action, hosts Maurie and Jim Beasley discuss the evolution of AI, its integration into various sectors, particularly healthcare, and the challenges faced in education. They emphasize the importance of domain knowledge for sustainable AI solutions, the phenomenon of AI hallucinations, and the need for AI to express uncertainty. The conversation also touches on the realities of teaching, classroom challenges, and the necessity of AI literacy in education. They conclude with insights on upcoming events and the future of AI in educational settings.
Takeaways
AI is not just about technology; it's about integration.
Domain knowledge is essential for sustainable AI solutions.
AI hallucinations occur due to the way models are trained.
Confidence levels in AI responses are crucial for reliability.
Human intuition is a significant factor in decision-making.
Education systems are facing real challenges that need addressing.
AI literacy is vital for both teachers and students.
Classroom management is becoming increasingly complex.
The middle ground in education is where real progress happens.
Future AI applications in education hold great potential.
Chapters
00:00 Introduction to AI in Action Podcast
01:23 The Importance of Domain Knowledge in AI
04:34 Challenges of AI Integration in Healthcare
06:27 Understanding AI Hallucinations
09:39 The Need for Uncertainty in AI Responses
15:29 The Role of Digital Literacy in AI Education
19:14 The State of Education and Teacher Challenges
28:12 Upcoming Events and Initiatives in AI Education
Summary
In this episode of AI in Action, hosts Maurie and Jim discuss a recent study from the Center for Countering Digital Hate that examines how young users can manipulate AI to access harmful content. They delve into the implications of AI and social media on youth behavior, the challenges of content filtering, and the importance of education in addressing mental health issues. The conversation highlights the need for a balanced approach that combines technology with counseling and education to protect young people in a digital age.
Takeaways
AI can be easily manipulated by young users.
Content filtering is a complex and challenging issue.
Social media algorithms can promote harmful content.
Education is crucial in helping youth navigate technology.
Counselors play a vital role in addressing mental health.
Historical risky behaviors predate AI and social media.
Youth need to be educated about boundaries and skepticism.
Banning technology is not a viable solution.
AI creates a personal interaction that can be misleading.
The importance of having enough counselors in schools.
Chapters
00:00 Introduction to AI and Recent Study
01:28 Exploring the Study's Findings
04:42 The Role of AI in Youth Communication
07:17 Social Media Challenges and Risks
10:01 Historical Context of Dangerous Trends
13:23 Counseling Perspectives on Youth Behavior
17:01 The Complexity of Content Filtering
19:24 Skepticism Towards AI and Social Media
23:06 Navigating Online Dangers
27:21 The Need for Specialized Counseling
30:42 Conclusion: Education as the Key Solution
Summary
In this episode of AI in Action, hosts Maurie and Jim Beasley discuss the implications of artificial intelligence in education, particularly focusing on Grammarly's new AI features that predict paper grades. They explore the tension between AI and English departments, the definition of critical thinking, and the economic viability of college degrees. The conversation emphasizes the need to shift from product-oriented assessments to process-oriented learning, highlighting the evolving landscape of education in the age of AI.
Takeaways
Grammarly's AI can predict paper grades, raising concerns.
AI is seen as a threat by many English teachers.
Writing has become a proxy for measuring critical thinking.
Economic viability of degrees is increasingly scrutinized.
AI will change how critical thinking is assessed in education.
The focus on writing may limit broader critical thinking skills.
Colleges face declining enrollment due to economic pressures.
AI tools can enhance learning if used correctly.
Teachers struggle to adapt to the integration of AI in classrooms.
The future of education requires a shift in assessment methods.
Chapters
00:00 Introduction to AI in Action
00:58 AI in Education: Grammarly's New Features
06:11 AI vs. English Departments: A Teacher's Perspective
10:50 Defining Critical Thinking in the Age of AI
20:06 Economic Viability and the Value of Degrees
28:09 Shifting from Product to Process in Education
34:52 Conclusion: The Future of Writing and Critical Thinking
Summary
In this conversation, Maurie and Jim Beasley discuss the recent release of ChatGPT 5.0, exploring its implications for education and the ongoing debate about AI usage among students. They examine the perspectives of both educators and students on the use of AI tools, the challenges of class sizes, and the need for better support for teachers. The discussion also touches on the ethical considerations of AI in therapy and the societal expectations placed on students and educators alike.
Takeaways
ChatGPT 5.0 is seen as a significant advancement in AI technology.
The conversation highlights the financial motivations behind AI developments.
Students view AI as a tool for optimization rather than cheating.
There is a divide between K-12 educators and college professors on AI usage.
Class sizes and teacher support are critical issues in education today.
AI can play a role in therapy, especially for isolated individuals.
The need for AI literacy in education is emphasized.
Judgment towards students using AI tools can be counterproductive.
Teachers often spend their own money to support classroom needs.
The integration of AI in education is inevitable and necessary.
Chapters
00:00 Introduction to AI and ChatGPT 5.0
07:37 The Good Cop, Bad Cop on AI Usage
13:43 Cheating vs. Optimization in Education
21:57 The Pressure of Academic Performance
29:02 AI's Role in Education and Teacher Shortages
Summary
In this episode of AI in Action, hosts Maurie and Jim Beasley discuss the latest developments in artificial intelligence, particularly in the context of education and rural America. They explore the U.S. Department of Education's initiatives to integrate AI into educational practices, the potential dissolution of the Department, and the implications for rural communities. The conversation highlights the economic significance of rural America and the importance of teachers' perspectives in the integration of AI technologies. The episode concludes with reflections on their ongoing projects and the challenges they face in promoting AI literacy.
Takeaways
The Education Department is focusing on integrating AI into education.
Grants are available for AI literacy and teacher training.
The potential dissolution of the Department of Education raises concerns.
Rural America plays a significant role in the U.S. economy.
Connectivity challenges hinder AI implementation in rural areas.
Teachers' voices are crucial in the conversation about AI in education.
Rural America covers a large geographical area and contributes significantly to GDP.
The importance of federal oversight in education standards is emphasized.
Innovative solutions often come from rural communities due to necessity.
The hosts advocate for the recognition of rural America's contributions to society.
Chapters
00:00 Introduction to AI in Action Podcast
00:57 AI in Education: Grant Money and Guidance
06:58 The Future of the Department of Education
12:55 Rural America and AI: Connectivity Challenges
20:56 The Economic Impact of Rural America
25:08 Teachers' Voices in AI Integration
Summary
In this conversation, Maurie and Jim Beasley explore the multifaceted world of artificial intelligence, sharing personal anecdotes and practical applications of AI in education and beyond. They discuss the importance of understanding AI basics, the diverse ways individuals can utilize AI tools, and the significance of personalizing AI experiences. The conversation also explores the role of AI in workflow automation, content creation, and ethical considerations in education, highlighting the importance of teachers staying informed and engaged with AI advancements.
Takeaways
AI can be used for personal tasks to enhance daily life.
Starting with personal applications makes AI more relatable.
Multimodal AI can recognize and process images and text.
Different users have unique ways of utilizing AI tools.
Planning and prototyping are essential in AI tool usage.
Workflow automation can streamline tasks and improve efficiency.
Visuals created with AI can enhance educational materials.
AI literacy is crucial for educators to keep up with advancements.
Documentation should be made AI-friendly for better accessibility.
Teaching remains a human-centered profession despite AI advancements.
Sound bites
"How do I use this thing?"
"Start with something personal."
"Teaching is still human work."
Chapters
00:00 Introduction to AI and Personal Experiences
01:51 Understanding AI Basics and Personal Applications
04:41 Exploring Multimodal AI and Personal Use Cases
06:14 Diverse AI Utilization: Educator vs. Engineer Perspectives
10:16 Planning and Prototyping with AI Tools
14:19 Workflow Automation and Organizational Tools
16:18 Visuals and Content Creation for Educators
19:39 AI in Training and Professional Development
22:17 Research and Ethical Considerations in AI
25:09 Documentation and Knowledge Management with AI
SummaryIn this episode, Maurie and Jim Beasley discuss the intersection of artificial intelligence and education, touching on recent policy developments in Ohio, the implications of AI regulation at the state and federal levels, and the importance of AI literacy for teachers. They also reflect on local tragedies and the need for responsible technology use in schools, emphasizing the necessity of clear policies and the challenges associated with their implementation.
Chapters00:00 Heartfelt Reflections on Texas Tragedy05:25 AI Policy Developments in Ohio12:53 The Debate on Cell Phone Policies in Schools14:39 AI Regulation and Legislative Challenges18:28 The Impact of Online Business Regulations20:40 AI Legislation Across States22:58 Government Use of AI and Transparency24:48 Consumer Protection and AI Disclosure26:56 AI in Education and Training29:54 Real-World Applications of AI in Classrooms