Equity and LLMs in Computing Education: A gradeless perspective under well-being lens
There are equity challenges in computing education when we realize that the digital divide expands itself due to the emergence of Large-Language Models (LLMs). Assessment is one of them, provoking computing educators to reflect on their day-to-day practice and reframing their perspectives about LLM use and their own assessment process. This provocative essay brings the gradeless approach as a possibility to deal with computing students’ well-being and, as a consequence, equity in assessment involving LLM scenarios.
Authors
- Esdras L. Bispo (ORCID: https://orcid.org/0000-0002-6373-6045)
- Juliana Maria Oliveira dos Santos (ORCID: https://orcid.org/0009-0009-1068-4825)
Institutions
- Universidade Federal da Bahia (BR)
- Universidade Federal de Pernambuco (BR)
- Universidade Federal de Jataí (BR)
Publication Details
- Published
- 2024-11-04
- DOI
- https://doi.org/10.5753/urca.2024.245646
- Citations
- 1
- Primary Topic
- Higher Education Learning Practices
- Type
- article
- Field-Weighted Citation Impact
- 2.10