The impact of AI-assisted pair programming on student motivation, programming anxiety, collaborative learning, and programming performance: a comparative study with traditional pair programming and individual approaches

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Publié dans:	International Journal of STEM Education vol. 12, no. 1 (Dec 2025), p. 16
Publié:	Springer Nature B.V.
Sujets:	International Journal of STEM Education Motivation Students Applications programs Experimental design Human relations Anxiety Comparative studies Performance enhancement Learning Artificial intelligence Undergraduate study Programming Design of experiments Computer science Student participation Science programs Science education Student retention Skill development Collaborative learning Pedagogy Mathematics education STEM education Skills Technology education Perceptions Educational objectives Qualitative research Quasi-experimental methods College students Comparative analysis Social Educational Benefits Undergraduate Students Learning Motivation Cooperative Learning Computer Oriented Programs Student Motivation Comparative Education Quasiexperimental Design Outcomes of Education Self Motivation
Accès en ligne:	Citation/Abstract Full Text - PDF
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