Author Identifier (ORCID)

Afaq Shah’s ORCID record ORCID Logo

Abstract

Equity, diversity and inclusion (EDI) is widely acknowledged as essential in software engineering (SE), yet day-to-day integration into teaching remains uncommon due to time pressures, low instructor confidence, and fragmented resources. We present GenEDIt, a purpose-built, LLM-backed chatbot that helps educators weave EDI into SE education artefacts without altering intended learning outcomes. Unlike generic chat interfaces, GenEDIt provides a tailored UI and workflow, and embeds retrieval over a vetted EDI knowledge base. The tool supports five educator-centred modes - (1) methods for integrating EDI into current activities; (2) examples/datasets; (3) EDI-integrated assessments and rubrics; (4) reflective prompts; and (5) rapid audits of lesson plans - plus an open-ended mode for free-form requests. We describe the main functionalities offered by GenEDIt and report on early experiences from pilots across various universities. We make the tool, source code and all artefacts publicly available to facilitate replication and broader adoption of our tool.

Keywords

diversity and inclusion, equity, software engineering education

Document Type

Conference Proceeding

Date of Publication

7-13-2026

Publication Title

Proceedings of the IEEE/ACM 48th International Conference on Software Engineering

Publisher

Association for Computing Machinery

School

School of Science

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

ISBN

[9798400724237]

First Page

497

Last Page

502

Recommended Citation

Arora, C., Arachchige, A. K. B., Du, J., Cheema, M. A., Cosmos, A., Shibani, A., Malhotra, V., Janjua, N., & Shah, A. (2026). GenEDIt: A context-aware equity, diversity and inclusion principles integration tool for software engineering education. In Proceedings of the IEEE/ACM 48th International Conference on Software Engineering (pp. 497-502). Association for Computing Machinery. https://doi.org/10.1145/3786580.3786969

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Link to publisher version (DOI)

10.1145/3786580.3786969