The COVID-19 pandemic has forced a significant increase in the utilization of video-based e-learning platforms for programming education. These platforms never considered the essential attributes of student characteristics and learning preferences while designing such a problematic subject having high dropout and failure rates. The traditional…

Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…

Game-based learning has received significant attention in educational pedagogy as an effective way of increasing student motivation and engagement. The majority of the work in this area has been focused on digital games or games involving technology. We focus on the use of traditional game design in improving student engagement and perception of…

With the increasing demand for STEM professionals, together with many of the current STEM professionals approaching or already gone over retiring age, there is a current shortfall which is now an urgent requirement to be addressed by Western countries as so much of activities and life in general is increasingly technology dependent. Actions that…

Online learning constitutes the most popular distance-learning method, with flexibility, accessibility, visibility, manageability and availability as its core features. However, current research indicates that its efficacy is not consistent across all learners. This study aimed to modify and extend the factors of the Technology Acceptance Model…

These proceedings contain the papers of the International Conference e-Learning 2017, which was organised by the International Association for Development of the Information Society, 20-22 July, 2017. This conference is part of the Multi Conference on Computer Science and Information Systems 2017, 20-23 July, which had a total of 652 submissions.…

These proceedings contain the papers and posters of the International Conference on e-Learning (EL) 2019, which was organised by the International Association for Development of the Information Society and co-organised by the Instituto Superior de Engenharia do Porto, in Porto, Portugal, July 17-19, 2019. The EL 2019 conference aims to address the…

Investigated effects of cognitive learning style on academic performance in two university computer applications courses. Discusses use of the Gregorc Style Delineator to collect learning style information over a four-year period. Results indicated a significant effect of learning style on academic performance, and that sequential learners…

Explored the relationship among cognitive style, performance, gender, and communication among computer students. Found a significant relationship between performance and cognitive style; students whose cognitive style scores indicated a preference for analytical thinking had better performance scores when entering college than those with a…

The background of 197 university students from four introductory computer science classes at the State University of New York at Buffalo was investigated to determine factors contributing to academic success or failure in computer science. A background questionnaire, a test of computer science concepts (reading a simple program, symbol…

This paper investigates the relationship between learning style and programming achievement in two paradigms: imperative and functional. An imperative language achieves its effect by changing the value of variables by means of assignment statements while functional languages rely on evaluation of expressions rather than side-effects. Learning…

Science and technology, when applied to educational excellence, have become part of the arts and humanities of tomorrow. The interactive multimedia technology tools available to educators today provide an opportunity to build into the distance or traditional course through learning objects, highly interactive experiential exercises that allow the…

Presents a model that suggests the cognitive style and personality traits that are likely to affect programming stages and empirically investigates 1 portion of that model with 192 college students. Correlations between results from the Group Embedded Figures Test and design and coding tasks are discussed. (LRW)

A learning style inventory was administered to 68 undergraduates enrolled in a course on computer applications in education. Correlation of these data with grades on class projects and exams indicated that students with high abstract sequential ability had higher performance scores, and learners with a dominance in abstract random style had lower…

Critically analyzes recent research studies that examine background variables, cognitive style, and psychological type as influences on performance in college-level computer science courses. Implications for matching curriculum and instructional strategies with student characteristics are presented, recommendations for further research are made,…