This study explores the use of machine learning and physiological signals to enhance learning performance based on students' personality traits. Traditional personality assessment methods often yield unreliable responses, prompting the need for a novel approach utilizing objective data collection through physiological signals. Participants from a…

This study examined 117 undergraduates' perceptions of ability at computer programming and word processing. In particular, it rated the importance of prior experience factors, keyboarding skills, and personal attributes such as enjoyment of problem solving. Those were discovered, in general, to be more important than formal training or aptitude in…

Investigates stereotypes of male and female undergraduates at Leicester University who had experience with computer programming, word processing, or computer games. The application of 16 personality attributes from a previous study is discussed, and gender differences in the perception of the 3 computer uses are considered. (LRW)

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…