Exploring the Impact of Artificial Intelligence in Teaching and Learning of Science: A Systematic Review of Empirical Research
St. Michael's Hospital · University of Warwick · +3 more institutions
Abstract
Abstract The use of Artificial Intelligence (AI) in education is transforming various dimensions of the education system, such as instructional practices, assessment strategies, and administrative processes. It also plays an active role in the progression of science education. This systematic review attempts to render an inherent understanding of the evidence-based interaction between AI and science education. Specifically, this study offers a consolidated analysis of AI’s impact on students’ learning outcomes, contexts of its adoption, students’ and teachers’ perceptions about its use, and the challenges of its use within science education. The present study followed the PRISMA guidelines to review empirical…
Citation impact
- FWCI
- 90.88
- Percentile
- 100%
- References
- 70
Authors
1Topics & keywords
- Globe
- Science education
- Variety (cybernetics)
- Systematic review
- Empirical evidence
- Learning sciences
- Perception
- Psychology
- Quality Education