Integrating Generative AI in Software Engineering Education : Practical Strategies

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings - 2024 International Symposium on Educational Technology
Subtitle of host publicationISET 2024
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages49-53
ISBN (electronic)979-8-3503-6141-4
ISBN (print)979-8-3503-6142-1
Publication statusPublished - 2024

Publication series

Name
ISSN (Print)2766-2128
ISSN (electronic)2766-2144

Conference

Title10th International Symposium on Educational Technology (ISET 2024)
LocationUniversity of Macau
PlaceChina
CityMacao
Period29 July - 1 August 2024

Abstract

The transformative influence of generative artificial intelligence (AI), notably large language models (LLMs), has significantly reshaped the software engineering (SE) landscape, impacting various aspects of software development within industry and academia. The imperative to integrate generative AI into educational programs arises from the necessity to furnish graduates with contemporary methodologies that enhance software quality and streamline development processes. Nevertheless, a research gap exists concerning the systematic integration of established SE education guidelines with specific course contexts to strengthen SE education through incorporating generative AI. In response to this gap, our study presents a vision for integrating generative AI into SE education, with a particular emphasis on practical integration strategies aimed at endowing students with essential competencies tailored for contemporary software development. Aligning our vision with the knowledge domains within SE education, we delineate its application across specific areas such as code generation, auto test case completion, and others. The overall objective of these proposed initiatives is to furnish students in SE with an updated and immersive learning experience, thereby addressing the evolving demands of the field. © 2024 IEEE

Research Area(s)

  • software engineering, education, generative AI, large language models, code generation, auto test case completion

Citation Format(s)

Integrating Generative AI in Software Engineering Education: Practical Strategies. / LI, Yishu; Keung, Jacky; MA, Kayley Xiaoxue.
Proceedings - 2024 International Symposium on Educational Technology: ISET 2024. Institute of Electrical and Electronics Engineers, Inc., 2024. p. 49-53.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review