LLM-Generated Design Problems for Assessing Higher-Order Thinking in Project-Based Learning

Created: 2026-07-14 | Tags: project-based-learninggenerative-aiformative-assessmentstem-educationhigher-ed

Ahmad D. Suleiman, Daqing Hou, Maliha Noushin Raida (2026) โ€” arXiv preprint.

๐Ÿ“„ Full text (arXiv)

Introduces 'design problems' (DPs): concise, scenario-based prompts that require applying knowledge in transfer contexts, generated with LLMs to assess higher-order thinking (HOT) in project-based learning. Traditional PjBL assessments often fail to capture HOT, especially transfer; DPs target that gap.

Bridges generative-ai generation with formative-assessment and project-based-learning, linking to scaffolding of complex tasks and higher-ed/cs-education contexts. It contributes a concrete method for scaling HOT assessment and informs ai-generated-content used for evaluation rather than just content delivery.

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Citation

APA: Ahmad D. Suleiman, Daqing Hou, Maliha Noushin Raida (2026). LLM-Generated Design Problems for Assessing Higher-Order Thinking in Project-Based Learning. arXiv:2607.11032. arXiv preprint.