Work

Equity and LLMs in Computing Education: A gradeless perspective under well-being lens

Year: 2024

Type: conference-paper

Abstract: 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.

DOI: 10.5753/urca.2024.245646

Authors: Esdras L. Bispo Jr., Juliana M. O. Santos

Institutions: Universidade Federal de Pernambuco, Universidade Federal de Jataí, Universidade Federal da Bahia

Language: English

Topic: Teaching and Learning Programming

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDGs: Quality education, Reduced inequalities

Open Access status: gold

OpenAlex ID: W4405286026

FWCI: 0.447

Cites: 9

Cited by: 1

Related to: 10