Exploring the Impact of Artificial Intelligence on Student Academic Performance
DOI:
https://doi.org/10.52098/airdj.20233343Keywords:
Artificial Intelligence, Academic Performance, Teaching methods, Machine learning, AI-based AssessmentAbstract
This paper examines the impact of artificial intelligence on students' performance during their academic studies. With the widespread use of AI in education, teaching, and learning, students can acquire knowledge in their chosen fields. However, students may engage with AI technologies in ways that could slightly diminish their overall experience. The goal of this study is to assess how artificial intelligence influences students' academic performance. A group of 64 first-year students was selected and divided into two groups to compare different study methods and determine which one is more effective in improving knowledge and building experience. The first group followed traditional study methods, while the second group used AI technologies in their assessments throughout the semester. Afterwards, interviews were conducted to evaluate the knowledge gained. The results showed that only a small number of students could answer questions about their AI-based assessments, with only 20% demonstrating significant knowledge retention. Various factors were identified as contributing to this outcome.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
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