Abstract
Introduction: This paper presents a systematic review of studies published in 2023, focusing on students' opinions about Artificial Intelligence (AI). Methodology: The PRISMA 2020 statement for systematic reviews and meta-analyses was used. Results: By applying eligibility criteria, 34 articles were selected for in-depth review. A prevalence of exploratory and exploratory-descriptive studies was identified, using scale questionnaires to measure students' perceptions, knowledge, or attitudes to AI. Discussion: The rapid development in this research area is evident, particularly concerning perception and knowledge variables. Students perceive AI positively, believing it will enhance their academic performance, learning, and future professional endeavors. However, students' actual knowledge about AI needs strengthening from a more academic perspective. Conclusions: This research field has shown significant progress in a short period, yet attitudes warrant greater attention, as they can provide valuable insights into potential barriers and opportunities for AI integration.
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López Chacón, M. L., Castellanos Ramírez, J. C., Niño Carrasco, S. A., & Parra Encinas, K. L. (2025). A systematic review of studies on AI: Approaches from the perspective of students. European Public and Social Innovation Review, 10. https://doi.org/10.31637/epsir-2025-1704
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