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

Autor/inn/en	García-Martínez, Inmaculada; Fernández-Batanero, José María; Fernández-Cerero, José; León, Samuel P.
Titel	Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-Analysis
Quelle	In: Journal of New Approaches in Educational Research, 12 (2023) 1, S.171-197 (27 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (García-Martínez, Inmaculada) ORCID (Fernández-Batanero, José María) ORCID (Fernández-Cerero, José) ORCID (León, Samuel P.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	Artificial Intelligence; Computation; Academic Achievement; Meta Analysis; Student Attitudes; Learning Motivation; STEM Education; Technology Uses in Education; Teaching Methods; Effect Size; Student Improvement; Program Effectiveness; Educational Benefits + Suchen Sie Ihr Suchwort? Künstliche Intelligenz; Schulleistung; Meta-analysis; Metaanalyse; Schülerverhalten; Motivation for studies; Lernmotivation; STEM; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Teaching method; Lehrmethode; Unterrichtsmethode; Bildungsertrag
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 on student performance, finding a rise in their attitude towards learning and their motivation, especially in the STEM (Science, Technology, Engineering, and Mathematics) areas. Despite the multiple benefits provided, the implementation of these technologies in instructional processes involves a great educational and ethical challenge for teachers in relation to their design and implementation, which requires further analysis from the educational research. These findings are consistent at all educational stages. (As Provided).
Anmerkungen	University of Alicante. Carretera San Vincente del Raspeig, Alicante, 03690, Spain. Tel: +34-96-590-3721; Fax: +35-96-590-3464; e-mail: editor.naerjournal@ua.es; Web site: https://naerjournal.ua.es
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01