Computational thinking (CT) is a fundamental ability for learners in today's society. Although CT assessments and interventions have been studied widely, little is known about CT predictions. This study predicted students' CT achievement in the ICILS 2018 using five machine learning models. These models were trained on the data from five European…

The purpose of this study was to investigate the factors that influence adult female learners' dropout in e-learning courses, and to suggest possible solutions to problem of high dropout rates in Korea. To identify the factors, we analyzed the literature and developed a questionnaire consisting of 9 possible factors and 16 items. Data gathered…

The objective of this dissertation is to explore the socio-cultural contextualization of the digital divide in Japanese society. I undertake this task by developing a theoretical and methodological framework based on the notion of "culture as models," while explicating the cultural dimensions of the digital divide and the dynamics of…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…