Improving student learning and socialisation via technology-enhanced collaboration

This study explores a new approach to collaborative learning using technology-enhanced assessments and a systematic pairing process in university-level computer science courses. Students first complete an individual quiz, then collaborate on a second quiz with a partner selected based on complementary performance. This method aims to enhance academic outcomes and socialisation by encouraging diverse interactions. Statistical analyses show that first- and second-year students perform better with varied knowledge levels in partners and prefer assigned partners over self-selection. The findings highlight the benefits of technology-enhanced collaborative learning in improving communication, teamwork, and socialisation skills, ultimately fostering a more connected and harmonious educational experience.