Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysis

Universidad de Granada · Universidad de Sevilla · +1 more institution

Indexed incrossrefdoaj

Abstract

Abstract Artificial intelligence (AI) and computational sciences have aroused a growing interest in education. Despite its relatively recent history, AI is increasingly being introduced into the classroom through different modalities, with the aim of improving student achievement. Thus, the purpose of the research is to analyse, quantitatively and qualitatively, the impact of AI components and computational sciences on student performance. For this purpose, a systematic review and meta-analysis have been carried out in WOS and Scopus databases. After applying the inclusion and exclusion criteria, the sample was set at 25 articles. The results support the positive impact that AI and computational sciences have…

Citation impact

217
total citations
FWCI
197.03
Percentile
100%
References
83
Citations per year

Authors

4

Topics & keywords

Keywords
  • Meta-analysis
  • Psychology
  • Mathematics education
  • Management science
  • Artificial intelligence
  • Computer science
  • Engineering
UN Sustainable Development Goals
  • Quality Education
No related works found for this paper.

Funding