Summary of Spl: a Socratic Playground For Learning Powered by Large Language Model, By Liang Zhang et al.
SPL: A Socratic Playground for Learning Powered by Large Language Model
by Liang Zhang, Jionghao Lin, Ziyi Kuang, Sheng Xu, Xiangen Hu
First submitted to arxiv on: 20 Jun 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The research introduces Socratic Playground for Learning (SPL), a dialogue-based Intelligent Tutoring System (ITS) that leverages OpenAI’s GPT-4 Large Language Model to foster critical thinking among learners. SPL employs the Socratic teaching method, generating specific learning scenarios and facilitating multi-turn tutoring dialogues through prompt engineering. The system aims to enhance personalized and adaptive learning experiences, focusing on improving critical thinking skills. Pilot experimental results from essay writing tasks demonstrate SPL’s potential to improve tutoring interactions and expand dialogue-based ITS functionalities. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary SPL is a new way to learn that uses artificial intelligence like a super smart teacher. It asks you questions and helps you think critically about what you’re learning. The system was tested with students who wrote essays, and it showed promising results in helping them improve their writing skills. This technology has the potential to make learning more fun and effective for everyone. |
Keywords
» Artificial intelligence » Gpt » Large language model » Prompt
