Summit Fernando Díaz Chief Learning and Technology Office Mentu GEF 2024

Global Education Forum

11 Jun 202415:04

Summary

TLDRThe speaker discusses the potential of artificial intelligence (AI) in education, emphasizing that current AI tools, like Chat GPT, are the least advanced they will encounter. They propose considering AI as a means to augment human intelligence and facilitate collaboration in learning. The talk explores three educational scenarios: pre-class planning, in-class support, and post-class reflection, highlighting AI's role in content creation, administrative tasks, and peer collaboration. The speaker also addresses the challenges of AI integration, such as superficial results and the need for educators to develop a deep understanding of AI to guide students effectively.

Takeaways

📚 AI is improving rapidly; current systems are the worst they will ever be.
🧠 AI can enhance personal intelligence and assist in collaboration.
👨‍🏫 Before class, AI can help teachers plan and generate content.
📝 During class, AI can aid with administrative tasks and enhance student collaboration.
🎓 AI helps students understand complex concepts through real-life examples.
🔍 Teachers can use AI to evaluate and give feedback on student work effectively.
👥 AI supports teamwork by helping students connect their ideas and work collaboratively.
🧑‍🎓 Students can use AI for role-playing, simulations, and tutoring.
💡 AI can serve as a mentor or coach, providing feedback on assignments.
💻 Educators must discern which parts of the learning process are essential and which can be assisted by AI.
🌐 AI outputs are often superficial, and teachers need to ensure depth in student learning.
📖 Teachers need to develop new knowledge and skills, like prompt engineering, to teach AI effectively.
💰 Access to advanced AI tools can be expensive, posing challenges for educational institutions.
⚠️ Teachers must be vigilant about AI biases and inaccuracies.

Q & A

What is the main topic of the speaker's discussion?
-The main topic of the speaker's discussion is the use of artificial intelligence in education from two perspectives: as a tool to enhance individual intelligence and as a means to support teamwork and collaborative learning.
What does the speaker suggest about the current state of AI compared to the future?
-The speaker suggests that the current AI, such as Chat GPT, is the worst AI system that people will use in their lives moving forward, implying that AI will only improve and become more sophisticated in the future.
How can AI be used before a class according to the speaker?
-AI can be used before a class to plan lessons, generate content, and find interesting content to enhance the learning experience for students.
What is an example of using AI to exemplify complex concepts in real-life contexts for students?
-An example given is a high school math teacher using AI to provide real-life examples of the use of linear functions or trigonometric identities to help students understand their practical applications.
How does the speaker propose using AI during a class?
-During a class, AI can be used to assist with administrative tasks, teach students about AI, and support collaboration and differentiation in learning.
What is the 'prompt engineering' strategy mentioned by the speaker?
-The 'prompt engineering' strategy involves creating prompts where the AI is given a specific personality or expertise to provide feedback or insights on a particular topic, such as having AI act as a Buddhism expert to review a script.
Can AI provide feedback on a teacher's performance in the classroom?
-Yes, the speaker mentions using AI to transcribe and provide feedback on classroom sessions, which can be more critical and less emotionally charged than feedback from colleagues.
How can AI be used to support student collaboration on projects?
-AI can help summarize essays, find common themes, and connect students' ideas, facilitating discussions and collaborative learning.
What challenges does the speaker identify in using AI for educational purposes?
-The speaker identifies challenges such as the superficiality of AI-generated content, the need for teachers to develop new knowledge about AI, learning prompt engineering, and the costs associated with accessing multiple AI tools.
What is the ethical consideration the speaker raises regarding AI in education?
-The speaker raises the ethical consideration of ensuring that the use of AI does not bypass necessary cognitive processes in learning and that teachers have a deep understanding to detect biases or inaccuracies in AI-generated content.
How does the speaker suggest students can use AI as a learning tool?
-The speaker suggests students can use AI to create role-playing games, simulations, and to act as a tutor or copilot in completing tasks, while also considering what aspects of the learning process are fundamental and which can be augmented by AI.

Outlines

00:00

🤖 Embracing AI in Education

The speaker begins by acknowledging the challenge of following a previous act and introduces the topic of using artificial intelligence (AI) in education. They emphasize that the current AI systems, such as Chat GPT, are the worst they will encounter in their lives, implying that future AI will only improve. The speaker invites the audience to consider AI's potential to augment human intelligence and to collaborate in both individual and team learning processes. They highlight the importance of AI in modern pedagogical approaches, such as project-based and inquiry-based learning, and suggest that AI can be used before, during, and after class to assist in planning, content generation, and administrative tasks.

05:01

📚 AI as a Teaching Assistant

In this paragraph, the speaker delves into the practical applications of AI as a teaching assistant. They provide examples of how AI can help generate content, prepare assessments, and support differentiation during class. The speaker also discusses the importance of teaching students about AI and incorporating it as a classroom topic. They share an example of using AI to review student scripts for a podcast project, emphasizing the collaborative aspect of AI in education. The speaker encourages students to discuss their AI-generated feedback with peers and to reflect on how it aids their learning process.

10:01

👨‍🏫 Professional Development with AI

The speaker explores the use of AI for professional development, describing how they record their classes and use AI transcription and feedback tools to improve their teaching methods. They mention the benefits of AI's unbiased critique and its ability to provide detailed feedback without emotional reactions. The speaker also discusses the potential of AI to help teachers evaluate student work and to connect students' ideas, fostering collaboration. They highlight the importance of discerning what is fundamental to the learning process and what can be augmented by AI, to avoid bypassing necessary cognitive challenges.

Mindmap

Keywords

💡Artificial Intelligence (AI)

Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the video's context, AI is central to the discussion on how it can be utilized in educational settings to enhance teaching and learning processes. The script mentions AI's current limitations and its potential for future improvement, emphasizing its role in classrooms as a tool for teachers and students alike.

💡Intelligence Augmentation

Intelligence Augmentation is the concept of using AI to increase human intelligence. The video discusses how AI can be employed to amplify a teacher's capabilities, such as by helping to plan lessons, generate content, and provide feedback. It is presented as a collaborative effort between humans and AI to improve individual learning processes.

💡Collaborative Learning

Collaborative Learning is an educational approach where students work together in teams or groups to achieve a common goal. The script touches on how AI can facilitate this method by providing support for teamwork, offering personalized feedback, and aiding in the differentiation of learning experiences for students with varying needs.

💡Pedagogical Strategies

Pedagogical Strategies refer to the various methods and techniques used by educators to facilitate learning. The video script discusses modern pedagogies that involve project-based and inquiry-based learning, where AI can be integrated to assist in planning, content creation, and providing real-world examples.

💡Administrative Tasks

Administrative Tasks are the non-teaching duties that teachers must perform, such as grading papers and managing class records. The script suggests that AI can help alleviate some of these burdens, allowing teachers to focus more on teaching and less on paperwork.

💡Differentiation

Differentiation in education means tailoring teaching methods and materials to meet the diverse learning needs of students. The video mentions using AI to support this by providing personalized feedback and adapting content to suit individual student's abilities and interests.

💡Prompt Engineering

Prompt Engineering involves crafting specific instructions or 'prompts' for AI systems to elicit desired responses. The script provides examples of how teachers can use this technique to guide AI in providing feedback on student work, by assigning a 'personality' or area of expertise to the AI, such as an expert in Buddhism or communication.

💡Transcription

Transcription is the process of converting spoken language into written form. The video script describes how a teacher can use AI to transcribe classroom sessions and then analyze them for feedback on teaching methods, using prompts to guide the AI in providing constructive criticism.

💡Role-Playing Simulations

Role-Playing Simulations are interactive activities where participants assume roles within a simulated environment to practice skills or understand concepts. The script suggests that AI can be used to create such simulations for educational purposes, providing students with dynamic and engaging learning experiences.

💡Cognitive Load

Cognitive Load refers to the amount of mental effort being used in the working memory during the process of learning. The video warns that relying too much on AI for tasks like writing essays could shortcut the cognitive processes necessary for deep learning, potentially undermining the educational value of the activity.

💡Bias Detection

Bias Detection is the process of identifying and addressing inherent prejudices or systemic favoritism in AI outputs. The script highlights the importance for educators to have a deep understanding of their subjects to detect any biases or inaccuracies in AI-generated content and to guide students towards more reliable information.

Highlights

The speaker emphasizes that the current AI is the worst they will use in their life, as it will only improve from here.

AI is presented as a tool to increase our own intelligence and collaborate in individual processes.

The less explored idea of AI helping in team collaboration and modern pedagogies is introduced.

Three moments of using AI as a teacher are discussed: before class, during class, and after class.

AI can help plan lessons, generate content, and find interesting material before class.

Teachers are challenged to exemplify complex concepts in real contexts for students.

AI can provide examples of real-world applications for abstract concepts in mathematics.

AI can assist with administrative tasks during class, presenting a new challenge for teachers.

The importance of teaching students about AI and incorporating it into the curriculum is highlighted.

AI can support collaboration and differentiation in the classroom.

An example of students using AI to review and improve their podcast scripts is given.

Students are encouraged to discuss and learn from each other's AI-assisted work.

The speaker shares personal experiences of using AI for professional development and feedback.

AI can provide feedback that is sometimes more critical than colleagues are willing to give.

AI is used to transcribe and review classroom sessions for better teaching practices.

Students can use AI to create role-playing games and simulations for learning.

AI can act as a tutor, providing information and summaries, and even as a co-pilot in completing tasks.

The challenge of identifying what is fundamental to the learning process versus traditional methods is discussed.

AI's superficial results and the risk of bypassing necessary cognition in students are noted as concerns.

Teachers must develop new knowledge about AI and learn prompt engineering to effectively use it in education.

The cost of AI tools and the challenge they pose to educational systems are considered.

The importance of using AI without undermining the learning process and maintaining educational integrity is emphasized.