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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

Salvato in:
Pubblicato in:International Journal of STEM Education vol. 12, no. 1 (Dec 2025), p. 16
Pubblicazione:
Springer Nature B.V.
Soggetti:
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
Accesso online:Citation/Abstract
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