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Ciência & Educação

versión impresa ISSN 1516-7313versión On-line ISSN 1980-850X

Resumen

RIBEIRO, Daniel Gomes  y  PAREDES, Kitylla Gevezier. Automated test generation and personalized answer keys: implementation and application in Analytical Geometry. Ciência educ. [online]. 2023, vol.29, e23039.  Epub 20-Sep-2023. ISSN 1980-850X.  https://doi.org/10.1590/1516-731320230039.

During the pandemic period, the challenge of maintaining academic integrity in distance learning has emerged as a key issue. Individualization of questions is an approach that can make it difficult for students to copy answers and can encourage personal development of solutions in evaluation tools. Automation could be a great help in this situation because it makes it possible to create different rubrics and answer keys by using constants and variables. This paper discusses the experience with automated personalized test generation during the period of emergency remote teaching. The strategy appears to have mitigated, among students, the tendency to copy solutions and answers from their classmates, find them online, or copy them directly from textbooks. The experience also shows the viability of creating a framework that might be suitable for other academic domains and grade levels by attempting a multifactorial solution in a complex context.

Palabras clave : Distance education; Educational technology; Automation; Learning assessment; Elaboration of tests.

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