This study identified the predictors of successful adoption of technology supported learning (TSL) among students in universities. Presumably, the perspective of the students in understanding this study is crucial because students are key users of TSL systems and are faced with challenges in the adoption of such systems in learning institutions. We argue in the present study that predictors can be identified using Gestalts approach given the complex interactions between the organizational and individual factors. The extent of interaction between the factors was accomplished using the clustering algorithm. Data was collected from 184 students from Makerere and Gulu universities. Six clusters emerged out of the findings of which Cluster 4 students adopted TSL the most. These students indicated that successful adoption of TSL is best achieved when there is coherence between financial support and when they are in their second year of study.
Namirembe, Esther and Kyobe, Michael Eddie Prof.
"Predictors of Successful Adoption of Technology Supported Learning in Universities in Uganda: A Students’ Perspective,"
The African Journal of Information Systems: Vol. 13
, Article 3.
Available at: https://digitalcommons.kennesaw.edu/ajis/vol13/iss2/3