Authoring Worked Examples for Java Programming with Human-AI Collaboration

Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan
12/4/2023
cs.HCcs.AI

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Abstract

Worked examples (solutions to typical programming problems presented as a source code in a certain language and are used to explain the topics from a programming class) are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide line-by-line explanations for a large number of examples typically used in a programming class. In this paper, we explore and assess a human-AI collaboration approach to authoring worked examples for Java programming. We introduce an authoring system for creating Java worked examples that generates a starting version of code explanations and presents it to the instructor to edit if necessary. We also present a study that assesses the quality of explanations created with this approach.

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Cite this paper

@article{hassany2023authoring,
  title  = {Authoring Worked Examples for Java Programming with Human-AI Collaboration},
  author = {Mohammad Hassany and Peter Brusilovsky and Jiaze Ke and Kamil Akhuseyinoglu and Arun Balajiee Lekshmi Narayanan},
  year   = {2023},
  eprint = {2312.02105},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2312.02105v1}
}

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