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- 1. WAIRED LEARN WITH(OUT) AI 03-04-2025BY SIMONE DE GIJT Slidedeck:
- 2. GLOSSARY • Jagged Frontier •More terms: • Check your favorite AI assistant • https://www.coursera.org/resources/ai-terms
- 3. JAGGED FRONTIER Navigating theJagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality - Harvard Business School Refers to the unpredictable and ever-changing limits of what AI can and cannot do #wAIred
- 4. WHAT CAN AIDO FOR US?
- 5. CLOSING THE GAP 22.12% 4.46% Navigatingthe Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality - Harvard Business School #wAIred
- 6. COPYING ANSWERS A.L. Glass& M. Kang (2020): Fewer students are benefiting from doing their homework: an eleven-year study, Educational Psychology, DOI: 10.1080/01443410.2020.1802645 #wAIred
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- 9. Type of AIWhat can it do? Brands AI Assistants Chat Plan Summarize .. ChatGPT Copilot Claude ..
- 10. Type of AIWhat can it do? Brands AI Assistants Chat Plan Summarize .. ChatGPT Copilot Claude .. Code generation embedded in IDEA Code completion Explain Simplify .. Jetbrains AI Assistant Github Copilot Tabnine ..
- 11. Type of AIWhat can it do? Brands AI Assistants Chat Plan Summarize .. ChatGPT Copilot Claude .. Code generation embedded in IDEA Code completion Explain Simplify .. Jetbrains AI Assistant Github Copilot Tabnine .. Workspaces Query Vocalize .. NotebookLM Notion ..
- 12. Type of AIWhat can it do? Brands AI Assistants Chat Plan Summarize .. ChatGPT Copilot Claude .. Code generation embedded in IDEA Code completion Explain Simplify .. Jetbrains AI Assistant Github Copilot Tabnine .. Workspaces Query Vocalize .. NotebookLM Notion .. Supporting tools Visualization .. Napkin.ai ..
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- 14. THE IMPACT OFAI ON LEARNING CAPABILITIES
- 15. A RISK ASSESSMENT •Overreliance: • Users may not engage deeply with the material • Superficial understanding of programming concepts • Novice learners may not develop their own problem-solving skills • Bias and Errors: • Risk of low code quality as AI is always choosing the most predictable solution • Users’ judgement may get clouded by the preferences and biases of the AI • Falsehoods may be saved to the long-term memory and become the base for future decisions and knowledge • Illusion of understanding: • Accept answers without (the skills to) evaluating the accuracy • Novice learners may not develop their own critical thinking skills • Falling asleep at the wheel #wAIred
- 16. FALLING ASLEEP ATTHE WHEEL Let AI take over instead of using it as a tool. Which hurts human learning, skill development and productivity. #wAIred
- 17. Navigating the JaggedTechnological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality - Harvard Business School #wAIred
- 18. OpenAI (2023): GPT-4Technical Report, DOI: 10.48550/arXiv.2303.08774 IS AI REALLY THAT FLAKY? #wAIred
- 19. TESTING BECOMES MOREIMPORTANT • Testing encourages you to think critically about the code and understand its functionality. • Ensures that the code functions as intended and meets the required specifications. • Helps in catching errors and bugs that AI might introduce or overlook. #wAIred
- 20. AN OPPORTUNITY ASSESSMENT •Idea Generator on Steroids: • AI can generate a wide range of ideas and solutions quickly, sparking creativity • Offering different perspectives so users can improve their critical thinking skills • More opportunities for users to reflect on their progress and choices • Personalized Learning: • Offering instant help with problems, explanations or examples • AI can adapt to individual learning styles & needs • Can increase student participation and motivation • Reducing cognitive load • Freeing up cognitive resources for higher-order thinking • Allowing users to focus on more complex and critical aspects of their learning #wAIred
- 21. BALANCING AI AND HUMANINTELLIGENCE
- 22. STEP 1. FINDYOUR SOURCE OF TRUTH We need subject matter expertise to: • Think critically • Problem solve • Understand abstract concepts • Reason through novel problems • Evaluate the AIs output #wAIred
- 23. STEP 2. INVITEAI TO EVERYTHING YOU DO • Learn the shape of the jagged frontier • Learn how to refine prompts • Imagine your AI collaborator as an infinitely fast intern, eager to please but prone to bending the truth. #wAIred
- 24. STEP 3. GOCENTAUR MODE • Clear line between person and machine • Assign clear, stand-alone tasks to the AI which are verifiable #wAIred
- 25. LEARNING EPISODE 1.Receive learningmaterial 2.Ask AI questions about the learning for deeper understanding 3.Practise session 4.AI grades the performance 5.AI advices how to continue #wAIred
- 26. STEP 4. GOCYBORG MODE • Blend machine and person • AI doesn’t just do delegated tasks • The user and the AI move back and forth over the jagged frontier #wAIred
- 27. EFFECT OF AI CODEGENERATORS ON SUPPORTING NOVICE LEARNERS • Code-Authoring Performance: Codex users had a 1.15x increased completion rate and 1.8x higher scores. • Manual Code-Modification: No decrease in performance for Codex users. • Retention: Slightly better performance in post-tests for Codex users, though not statistically significant. Kazemitabaar, Chow, Ka To Ma et all. (2023): Studying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programming, CHI, DOI: https://doi.org/10.1145/3544548.3580919 #wAIred
- 28. KEY TAKE AWAYS AIcan generate creative ideas quickly, enhancing decision-making and problem-solving. Overreliance on AI can lead to superficial understanding and hinder critical thinking skills. AI tools can personalize learning experiences, adapting to individual needs and styles. Biases and errors in AI outputs can affect judgment and decision-making. Balancing AI with human intelligence is crucial for effective learning and productivity. #wAIred
- 29. SOURCES - Dell’Acqua, McFowlanIII, Mollick et all. (2023): Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality. Harvard Business School. - Glass & Kang (2020): Fewer students are benefiting from doing their homework: an eleven-year study, Educational Psychology, DOI: 10.1080/01443410.2020.1802645 - Kazemitabaar, Chow, Ka To Ma et all. (2023): Studying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programming, CHI, DOI: https://doi.org/10.1145/3544548.3580919 - Lin & Chen (2024): Artificial intelligence (AI) -integrated educational `zapplications and college students’ creativity and academic emotions: students and teachers’ perceptions and attitudes, BMC Psychology, DOI: https://doi.org/10.1186/s40359-024-01979-0 - Mollick (2024). Co-Intelligence: Living and Working with AI. - OpenAI (2023): GPT-4 Technical Report, DOI: 10.48550/arXiv.2303.08774 - Spector & Ma (2019). Inquiry and critical thinking skills for the next g`zeneration: from artificial intelligence back to human intelligence. Smart Learning Environments, DOI: https://doi.org/10.1186/s40561-019-0088-z - Yi Wu (2024): Critical Thinking Pedagogics Design in an Era of ChatGPT and Other AI Tools — Shifting From Teaching “What” to Teaching “Why” and “How”, DOI: https://doi.org/10.20849/jed.v8i1.1404 - Zviel-Girshin (2024): The Good and Bad of AI Tools in Novice Programming Education. Education sciences, DOI: https://doi.org/10.3390/educsci14101089 #wAIred
- 30. LinkedIn: Simone de Gijt Slidedeck: #wAIred Thankyou for your attention!