To address three issues identified in previous research this study proposes a clustering-based MOOC dropout identification method and an early prediction model based on deep learning. The MOOC learning behavior of self-paced students was analyzed, and two well-known MOOC datasets were used for analysis and validation. The findings are as follows:…

An insight regarding few of the experiences during video games playing activity is still fuzzy. This paper presents an extensive empirical study that analyzes the experiences of 100 participants (i.e. 25 children, younger adults, older adults, and elders each) during brain games play. This concludes a number of significant correlations among the…

This study examined pre-service teachers' self-reported intention to use technology. One hundred fifty-seven participants completed a survey questionnaire measuring their responses to six constructs from a research model that integrated the Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB). Structural equation modeling was…

This article focuses on an evaluation of the impact of an innovative instructional design of internships in view of a new integrated pharmaceutical curriculum. A key innovative element was the implementation of a computer-supported collaborative learning environment. Students were, as part of their formal curriculum, expected to work in a…