#pair-programming

#pair-programming

The paper explores human-AI pair programming (pAIr), revealing mixed outcomes regarding quality, productivity, and learning, needing more valid measures for effective evaluation.

Pair programming not only enhances social intelligence but also mirrors the collaborative work environment students will encounter in their future careers, fostering teamwork skills.

The results reveal significant differences in intrinsic motivational levels across programming roles, indicating that students’ choice of roles significantly impacts their engagement in collaborative learning environments.

This study aims to investigate the dynamics of pair programming particularly focusing on the perceived gender of partners, and its potential impact on productivity perceptions among students.