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School evaluation and artificial intelligence
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School evaluation and artificial intelligence
Journal
Proceedings of the 2023 IEEE 3rd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023
Date Issued
2023
Author(s)
Cobos M.
Cherres H.
Facultad de Ciencias de la Educación
Type
Conference Paper
DOI
10.1109/ICALTER61411.2023.10372877
URL
https://cris.indoamerica.edu.ec/handle/123456789/8286
Abstract
Assessment in education has evolved over time and has established new ways of obtaining information about students' academic progress. However, the advent of artificial intelligence, such as ChatGPT, has posed challenges in the assessment process, as students can use these technologies to solve questions and tasks without studying. This research focused on recommending alternative educational resources for assessment, considering the pros and cons of ChatGPT and other AI. A systematic literature review was conducted and resources such as written tests, Kahoot!, Quizlet, Mentimeter and Nearpod were identified and evaluated in the tool designed in Microsoft Excel to evaluate their effectiveness. The results showed that the written test and the Plickers tool were the most effective, followed by ClassTools, Flip, Kahoot!, Quizlet, Mentimeter and Nearpod, in addition a list of activities that can be used to assess knowledge through the rubric is shown, among the most important are: oral lessons, exhibitions, open houses, speeches, case studies, debates and observation of participation, because these types of work encourage the speaker to prepare and master the subject. Traditional assessment in the educational field has faced challenges with the advent of artificial intelligence because AI's ability to generate tasks and answers without students having to read, write or study poses a challenge to ensure the actual acquisition of knowledge and skills. This research recommends educational resources to assess through digital tools or educational activities that allow for authentic assessment of learning and limit reliance on AI. © 2023 IEEE.
Subjects
electronics; Learning...
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