"Let Them Try to Figure It Out First" - Reasons Why Experts (Do Not) Provide Feedback to Novice Programmers

Lohr, Dominic; Kiesler, Natalie; Keuning, Hieke; Jeuring, Johan

doi:10.1145/3649217.3653530

Proceedings of the 2024 on Innovation and Technology in Computer Science Education v. 1 2024

DOI: 10.1145/3649217.3653530

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"Let Them Try to Figure It Out First" - Reasons Why Experts (Do Not) Provide Feedback to Novice Programmers

Dominic Lohr,

Natalie Kiesler,

Hieke Keuning

et al.

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2024

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Leveraging Large Language Models to Generate Course‐Specific Semantically Annotated Learning Objects

Lohr,

Berges,

Chugh

et al. 2024

Computer Assisted Learning

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BackgroundOver the past few decades, the process and methodology of automatic question generation (AQG) have undergone significant transformations. Recent progress in generative natural language models has opened up new potential in the generation of educational content.ObjectivesThis paper explores the potential of large language models (LLMs) for generating computer science questions that are sufficiently annotated for automatic learner model updates, are fully situated in the context of a particular course and address the cognitive dimension understand.MethodsUnlike previous attempts that might use basic methods such as ChatGPT, our approach involves more targeted strategies such as retrieval‐augmented generation (RAG) to produce contextually relevant and pedagogically meaningful learning objects.Results and ConclusionsOur results show that generating structural, semantic annotations works well. However, this success was not reflected in the case of relational annotations. The quality of the generated questions often did not meet educational standards, highlighting that although LLMs can contribute to the pool of learning materials, their current level of performance requires significant human intervention to refine and validate the generated content.

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Leveraging Large Language Models to Generate Course‐Specific Semantically Annotated Learning Objects

Lohr,

Berges,

Chugh

et al. 2024

Computer Assisted Learning

View full text Add to dashboard Cite

show abstract

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"Let Them Try to Figure It Out First" - Reasons Why Experts (Do Not) Provide Feedback to Novice Programmers

Cited by 1 publication

References 22 publications

Leveraging Large Language Models to Generate Course‐Specific Semantically Annotated Learning Objects

Leveraging Large Language Models to Generate Course‐Specific Semantically Annotated Learning Objects

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