Artificial Intelligence (AI) and related technologies have a long history of being used in education for motivating learners and enhancing learning. However, there have also been critiques for a too uncritical and naïve implementation of AI in education (AIED) and the potential misuse of the technology. With the release of the virtual assistant…

Various means to predict the success rate of students have been introduced by a number of educational institutions worldwide. The aim of this research was to identify predictors of success for tertiary education students. Participants were 353 students enrolled on Business and Computing programmes between 2009 and 2014, at a tertiary education…

Learning to program is a complex task, and the impact of different pedagogical approaches to teach this skill has been hard to measure. This study examined the performance data of seven cohorts of students (N = 1168) learning programming under three different pedagogical approaches. These pedagogical approaches varied either in the length of the…

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…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

This study investigated influences on employee self-efficacy of computer technologies resulting from computer-training programs that were intended to meet individual and organization objectives for university personnel. Influences on the transfer of training process included previous computer training, computer-use requirements, computer-use…

Describes a study of computer science majors conducted at Purdue University to determine what factors predict academic success or lack of it. Results show that strength in mathematical and verbal skills is necessary for success as indicated by SAT scores, minimum number of high school mathematics credits, and class standing. (MBR)

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)

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,…

Describes study that was conducted at Bar-Ilan University (Israel) to examine the influence of previous experience on the computer activity of first-year university students. The average computer activity for high-experience and low-experience groups is analyzed, and implications for beginning computer courses are discussed. (10 references) (LRW)

Examines the effects of high school performance, high school and university mathematics background, previous computer experience, and age on computer science aptitude and achievement as measured by a computer science aptitude test and final exam respectively. Methodology and analysis of results by stepwise regression are presented. (EAO)

Discusses results of a survey of undergraduate students that investigated their current knowledge of computers and the level of knowledge they would like to have. Attitudes of students who had prior computer courses or who owned a computer were found to be more positive than those of students who did not. (27 references) (LRW)

Describes a study designed to determine if college students' success in writing computer programs is related to level of cognitive development as described by Piaget, verbal ability, and mathematics reasoning. Regression analysis showed that level of cognitive development, when combined with verbal reasoning, is linearly predictive of programming…

Describes study that investigated the impact of computer ownership and lab attendance on College of Business students' performance on an examination and in an introductory course on information systems. Results indicated that both owning a computer and attending lab sessions were associated with a student earning a better course grade. (10…

The predictors of students' completed and planned enrollments in college level computer courses were examined. A total of 195 college freshman and sophomore students (102 females and 93 males) who were enrolled at a large land-grant university in the southern region of the midwestern United States completed instruments measuring computer…