Title: Improving student learning and socialisation via technology-enhanced collaboration

Authors: Steve Geinitz

Addresses: Department of Computer Science, Metropolitan State University of Denver, Denver, CO, USA

Abstract: 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.

Keywords: collaborative learning; continuous assessment; student socialisation.

DOI: 10.1504/IJTEL.2026.150518

International Journal of Technology Enhanced Learning, 2026 Vol.18 No.1, pp.1 - 15

Received: 20 Aug 2024
Accepted: 30 Aug 2024
Published online: 16 Dec 2025 *

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