Everything about Generative Problem Solving

🧭 Start here: a 6-step reading path

1. Read the overview: Generative Problem SolvingA 5-minute orientation
2. Skim a recent paper: The Mediating Role of Generative AI Self-Regulation on Students’ Critical Thinking and Problem-SolvingInfluential work since 2022
3. Pick up a classic book: Artificial intelligenceThe most-reprinted book on the subject
4. Read the landmark paper: The Crowdless Future? Generative AI and Creative Problem-SolvingCited 337 times
5. Go sideways: Phillip C.-Y. SheuA closely related topic
6. Go sideways: Outline of computer scienceA closely related topic

🏆 Landmark papers (most cited)

• The Crowdless Future? Generative AI and Creative Problem-Solving

  Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang · 2024 · Organization Science · 337 citations

• Generalized and generative thinking in US and Chinese students’ mathematical problem solving and problem posing

  Jinfa Cai, Stephen Hwang · 2002 · The Journal of Mathematical Behavior · 226 citations

• Artificial Intelligence Generative Tools and Conceptual Knowledge in Problem Solving in Chemistry

  Wajeeh Daher, Hussam Diab, Anwar Rayan · 2023 · Information · 59 citations

• Conceptual priming in a generative problem-solving task

  Richard L. Marsh, Martin L. Bink, Jason L. Hicks · 1999 · Memory & Cognition · 37 citations

• Design Thinking Inspired Crowdsourcing: Toward a Generative Model of Complex Problem Solving

  Matthew Mount, Heather Round, Tyrone S. Pitsis · 2020 · California Management Review · 24 citations

• Multi-Agent Generative AI: Coordinated Synthesis for Complex Problem-Solving

  Chandra Sekhar Oleti · 2024 · International Journal of Scientific Research in Computer Science, Engineering and Information Technology · 8 citations

• Augmentation or limitation? Generative AI’s influence on college students’ creative problem-solving

  Huanhuan Wang, Ting Da, Yuanrong Wang · 2026 · Thinking Skills and Creativity · 7 citations

• Beyond Prompt Engineering: Exploring Collaborative Dialogue with Generative AI for Problem-Solving

  Sung Hyun Lee, John A. Velez, Dae-won Noh · 2025 · Cyberpsychology, Behavior, and Social Networking · 5 citations

🆕 Influential since 2022

• The Mediating Role of Generative AI Self-Regulation on Students’ Critical Thinking and Problem-Solving

  Xue Zhou, Da Teng, Hosam Al-Samarraie · 2024 · Education Sciences · 124 citations

• Can Generative AI and ChatGPT Outperform Humans on Cognitive-Demanding Problem-Solving Tasks in Science?

  Xiaoming Zhai, Matthew Nyaaba, Wenchao Ma · 2024 · Science & Education · 83 citations

• Measuring undergraduate students' reliance on Generative AI during problem-solving: Scale development and validation

  Chenyu Hou, Gaoxia Zhu, Vidya Sudarshan · 2025 · Computers & Education · 81 citations

• Impact of generative AI dialogic feedback on different stages of programming problem solving

  Xin Gong, Zhixia Li, Ailing Qiao · 2024 · Education and Information Technologies · 26 citations

• Use of Language By generative AI Tools in Mathematical Problem Solving: The Case of ChatGPT

  Wajeeh Daher, Faaiz Gierdien · 2024 · African Journal of Research in Mathematics, Science and Technology Education · 23 citations

📚 Books worth reading

• Artificial intelligenceGeorge F. Luger, LUGER · 1992
• Data abstraction and problem solving with C++Frank M. Carrano, Paul Helman · 1995
• Simplified TRIZKalevi Rantanen · 2002
• 📕Problem Solving for EngineersDavid G. Carmichael · 2013
• Police Problem SolvingQuint Thurman · 2002
• On the beatWesley G. Skogan · 1999
• Policy Analysis as Problem SolvingAlex Schwartz, Rachel Meltzer · 2018
• 📕Lean Problem Solving and QC Tools for Industrial EngineersMaharshi Samanta · 2019

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics

• Phillip C.-Y. Sheu Chen-Yu (Phillip) Sheu is a professor with joint appointments in electrical engineering, computer science and biomedical engineering at the University…
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• Robert Kowalski Robert Anthony Kowalski (born 15 May 1941) is an American-British logician and computer scientist, whose research is concerned with developing both human-orient…
• Knowledge representation and reasoning Knowledge representation (KR) aims to model information in a structured manner to formally represent it as knowledge in knowledge-based systems whereas…