Difference between revisions of "AI in education"
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===Creativity=== | ===Creativity=== | ||
| − | * | + | * 2023-09: [https://www.nature.com/articles/s41598-023-40858-3 Best humans still outperform artificial intelligence in a creative divergent thinking task] |
| + | ** Best humans out-perform AI at creativity. (By implication, median humans may not.) | ||
| + | * 2024-02: [https://www.nature.com/articles/s41598-024-53303-w The current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks] | ||
| + | * 2024-02: Felin, Teppo and Holweg, Matthias, [https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4737265 Theory Is All You Need: AI, Human Cognition, and Causal Reasoning] (February 24, 2024). [http://dx.doi.org/10.2139/ssrn.4737265 doi: 10.2139/ssrn.4737265] | ||
| + | ** Argues that human "theory-based" creativity is better than AI "data-based". | ||
| + | * 2024-07: [https://arxiv.org/abs/2407.01119 Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?] | ||
| + | ** Top human (professional author) out-performs GPT4. | ||
| + | * 2024-09: [https://arxiv.org/abs/2409.04109 Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers] | ||
| + | ** LLMs can be creative | ||
==AI improves human work== | ==AI improves human work== | ||
Revision as of 09:11, 14 October 2024
Contents
AI in Education
AI improves learning/education
- Mollick, Ethan R. and Mollick, Lilach and Bach, Natalie and Ciccarelli, LJ and Przystanski, Ben and Ravipinto, Daniel, AI Agents and Education: Simulated Practice at Scale (June 17, 2024). The Wharton School Research Paper. doi: 10.2139/ssrn.4871171
- Can enable personalized education.
AI harms learning
- A real-world test of artificial intelligence infiltration of a university examinations system: A “Turing Test” case study ** Current grading systems cannot detect AI.
- Bastani, Hamsa and Bastani, Osbert and Sungu, Alp and Ge, Haosen and Kabakcı, Özge and Mariman, Rei, Generative AI Can Harm Learning (July 15, 2024). The Wharton School Research Paper.doi: 10.2139/ssrn.4895486
- Access to ChatGPT harmed math education outcomes.
AI/human
AI out-performs humans
Tests
- A real-world test of artificial intelligence infiltration of a university examinations system: A “Turing Test” case study ** AI scores higher than median students.
Creativity
- 2023-09: Best humans still outperform artificial intelligence in a creative divergent thinking task
- Best humans out-perform AI at creativity. (By implication, median humans may not.)
- 2024-02: The current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks
- 2024-02: Felin, Teppo and Holweg, Matthias, Theory Is All You Need: AI, Human Cognition, and Causal Reasoning (February 24, 2024). doi: 10.2139/ssrn.4737265
- Argues that human "theory-based" creativity is better than AI "data-based".
- 2024-07: Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?
- Top human (professional author) out-performs GPT4.
- 2024-09: Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
- LLMs can be creative
AI improves human work
- TBD
Uptake
TBD
