Analysing student behaviour in the implementation of LAT using cloud technology in higher education institutions

This study examines the impact of cloud-based learning analytics tools (LAT) on student adoption intention and perceived engagement in higher education.Data were collected from 155 students familiar with cloud computing through a structured questionnaire, and SmartPLS was applied to test the relationships between technology competency, cloud computing ability, perceived usefulness (PU), perceived ease of use (PEU), and intention to adopt LAT.The results confirm that the measurement and structural models are valid and reliable.Findings show that cloud computing ability enhances technology competency, which positively influences PU and PEU, leading to higher adoption intention, with PEU exerting the strongest effect.The results underscore the importance of usability-oriented system design and cloud-related competencies in encouraging technology adoption, consistent with the technology acceptance model (TAM).