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  • Using Perplexity’s 'Deep Research' - can it save teachers time?
    2025/02/21

    In this episode I investigate the recent release of ‘deep research’ AI models and evaluate their suitability as tools for educators. I comment on the perceived pros and cons of these ‘agentic multi-step research tools’, summarise the outcome of spending a week trawling various articles and posts about the comparions between the models and describe three examples of reports I have created using Perplexity. Can ‘Deep research’ save teachers time? Is it the equivalent of ‘a PhD in your pocket’? Let’s dive in and find out!

    00:00 Introduction to Deep Research AI Models

    00:25 Evolution of Conversational AI

    01:31 The New Wave: Web-Enabled Agentic Reasoning Models

    02:05 Practical Applications in Education

    03:36 Major Players in Deep Research AI

    04:44 Advantages of Deep Research AI Tools

    07:14 Criticisms and Limitations

    10:27 Personal Experiences and Use Cases

    14:54 Recommendations for Educators

    17:10 Conclusion and Final Thoughts

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    18 分
  • Using AI to inspire critical thinking
    2025/02/14

    In this episode of AI Academia, I explore how artificial intelligence can be used to foster critical thinking in education by employing a modified version of the Socratic method. I discuss the importance of questioning in learning, drawing on resources such as 'Essential Questions' by Jay Mat Teague and Grant Wiggins, and 'Caitlin's Cookbook' by Steve Bertles. I share insights on how AI can be leveraged to engage students in deeper analysis and dialogue, using prompts to guide back-and-forth exchanges of ideas with the AI. The episode includes a detailed example using Shakespeare's 'The Tempest' to illustrate the process. Finally I issue a challenge so you can put this prompt to work with your own learners!

    (Essential Questions): https://tinyurl.com/mrytuyur

    (Caitlin’s Cookbook): https://cirl.etoncollege.com/wp-content/uploads/sites/4/2024/01/Issue-1.pdf

    The Prompt:

    ‘You are an expert mentor and questioner.

    ‘I’m studying [subject] at [level] and want to deepen my understanding of [topic].

    Use the questioning method outlined below to help me test and refine my understanding.

    The objective is to encourage me to engage in critical thinking, to allow me to arrive at a clearer idea of my point of view and to broaden my understanding of the topic under study’

    You should only ask one question at a time and then wait for my response before moving onto the next phase of the question workflow.

    Here is the workflow which has 5 phases:

    #1 Start with the following open-ended question: ‘stem question’

    #2 Once I have responded, give some feedback by critically assessing my answer and then ask a probing question which requires me to provide evidence or specifics to support my claims.

    #3 Once I have provided plausible evidence or specifics, give some feedback by critically assessing my answer and then ask a question that encourages comparison or contrast with other relevant aspects of the topic.

    #4 Once I have responded, give some feedback by critically assessing my answer and then ask a follow-up question that connects the line of enquiry to the wider topic focus.

    #5 Once I have responded, give some feedback by critically assessing my answer and then state that you will now adopt the role of Devil’s Advocate and go on to propose a plausible contrarian position to the one I currently hold. Invite me to consider that position and either refute it or modify my response in the light of this alternative viewpoint.

    Finally offer a summary of the whole conversation which precisely and concisely captures the material covered in all 5 phases of the discussion and suggest three new lines of enquiry that might complement the topic under investigation.’

    00:00 Introduction to AI in Education

    00:27 The Importance of Questioning in Learning

    01:26 Key Resources for Enhancing Critical Thinking

    02:22 Reflecting on Teaching Practices

    06:39 Challenges in Modern Education

    07:30 Revisiting Effective Questioning Strategies

    09:11 Leveraging AI for Socratic Dialogue

    10:18 Implementing AI-Driven Questioning Workflow

    15:50 Example: Analyzing Prospero in The Tempest

    25:48 Adapting AI Prompts for Various Subjects

    26:32 Conclusion and Call to Action

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    27 分
  • DeepSeek R1: the aftermath
    2025/02/07

    In this week’s episode, I’m exploring the recent release of the Chinese large language model, DeepSeek R1. It’s an accessible overview of what makes this model so impressive, and why it has cost one US company 600 billion dollars in a single day! Along the way, I’ll be jargon-busting so you’ll have a better understanding of terms like ‘inference time compute’, and ‘open source models’.

    00:00 Introduction to DeepSeek R1 and Its Impact on Education

    00:56 Understanding DeepSeek R1: An Analogy

    01:52 The Founding and Development of DeepSeek

    02:18 What Makes DeepSeek R1 Unique?

    03:57 DeepSeek R1 in Action: A Demonstration

    06:23 Controversies and Questions Surrounding DeepSeek

    09:44 Open Source vs. Closed Models

    17:20 Global Implications and Reactions

    24:02 Future Prospects and Final Thoughts

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    28 分
  • Art or Paint by Numbers? - AI and the creativity debate
    2025/01/31

    In this episode of the AI Academia podcast, I ask whether current AI systems can create something truly original. We will consider:

    What does it mean to be creative?

    Is an AI system capable of genuine innovation?

    Does AI advancement threaten human creativity?

    How can we augment our workflow in our classrooms to maximise our creativity as educators?

    I conclude by offering 5 practical prompts that you can use immediately to enrich your lesson planning and delivery.

    00:00 Introduction: AI and Creativity

    00:23 Personal Reflections on Creativity

    01:34 Exploring AI and Creativity

    02:31 Defining Creativity

    04:04 Human vs. Machine Creativity

    04:41 AI's Role in Scientific Breakthroughs

    06:17 The Mysteries of Human Creativity

    08:01 AI's Creative Potential

    09:30 The Alternative Uses Test

    13:28 Stochastic Parroting and AI Limitations

    14:27 Humanizing AI and Creativity

    18:37 AI as a Creative Tool

    22:45 Kasparov and Centaur Chess

    26:40 Hybrid Creative Processes

    30:52 Practical AI Techniques for Educators

    35:20 Conclusion and Future Thoughts

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    36 分
  • How to use AI generated music to enhance your lessons
    2025/01/24

    In this episode of the AI Academia Podcast, I explore how to use AI generated tracks in your everyday teaching practice. Platforms like Suno and Udio allow educators to create original tracks quickly and affordably, making them useful for various classroom activities. I’ll share examples of how I’ve used songs to teach anything from times table memorization to exploring Shakespeare’s verse.

    I also discuss ethical considerations surrounding AI music and I conclude with a preview of a pilot project in which my Year 10 students will be taking part in the first AI Music competition in my school’s history!

    Suno: www.suno.com

    Udio: www.udio.com

    00:00 Introduction to AI Generated Music in Education

    00:43 Getting Started with AI Music Platforms

    03:11 Advanced Uses and Meta Prompting

    04:32 Practical Classroom Applications

    10:22 AI Music competition in my school

    11:35 The ethics of AI music - thorny questions

    13:00 Conclusion and Final Thoughts

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    14 分
  • Leveraging AI Tools for Rapid Research
    2025/01/17

    In this episode of the AI Academia podcast, I share a practical workflow for using AI tools to assist students in performing rapid research tasks. I describe a lesson I taught to Year 10 students using large language models and Google’s NotebookLM to analyse a range of primary sources as quickly and efficiently as possible.

    Chat GPT Video Summariser: https://chatgpt.com/g/g-4MDJvo2TJ-video-summarizer

    NotebookLM: https://notebooklm.google/

    00:00 Introduction to AI-Enhanced Teaching

    01:40 Course Overview and Lesson Setup

    05:54 AI Tools and Research Methods

    11:06 Classroom Experience and Feedback

    13:58 Conclusion and Future Insights

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    16 分
  • Why we need to see AI as a bottle, not a beetle!
    2025/01/10

    In this episode I delve into the human tendency to anthropomorphize AI models and the potential risks associated with this behaviour. We explore why beetles mistake beer bottles for mates, why Hollywood robots tend to be androids and why we are inclined to see AI as sentient. I conclude with a call to educators to equip our students with the digital literacy skills needed to safely navigate the complexities of AI interactions.

    Anthropomorphism Research by Canfer Akbulut: https://ojs.aaai.org/index.php/AIES/article/view/31613/33780

    CASA Research by Nass, Steuer & Tauber: https://www.researchgate.net/publication/221517042_Computer_are_social_actors

    00:00 Introduction: Humanizing AI

    00:26 The Beetle and the Bottle: A Curious Case

    01:47 Hollywood's Influence on AI Perception

    03:26 Clippy and the Tamagotchi effect

    05:58 The CASA Paradigm: Computers as Social Actors

    11:10 The Risks of Anthropomorphizing AI

    16:28 Educational Imperatives: Teaching AI Literacy

    20:21 Conclusion: Navigating the AI Landscape

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    21 分
  • Is Artificial Intelligence coming for teachers' jobs?
    2025/01/05

    In this episode of the AI Academy podcast, I ask whether advances in artificial intelligence pose a threat to teachers' jobs.

    Drawing on insights from a LinkedIn article by Chris Goodall, interviews with Khan Academy founder Sal Khan and an innovative programme launched by the David Game College in London last year, I discuss the role of teachers, the rapid development of AI, the quality and human connection in education, and the current state and future of the teaching profession.

    Chris Goodall’s LinkedIn article: https://www.linkedin.com/pulse/ai-replace-teachers-chris-goodall-trode/

    Ed Mylett interview with Sal Khan: https://youtu.be/va5yW-6wHIs?si=Mt5T1AGLT4Vh9UYq

    00:00 Introduction: Are AI Advances a Threat to Teachers?

    01:51 Defining the Role of a Teacher

    05:01 AI's Rapid Development and Its Implications

    06:50 Current Educational Models: Fit for Purpose?

    14:34 Real-World Case Studies: AI in Education

    20:47 Conclusion: The Future of Teaching in an AI-Driven World

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    24 分