For computing to serve humanity, computing spaces must be safe for all individuals. While prior work has surfaced how hegemonic racial and gendered expectations manifest in computing, it has only indirectly attended to expectations surrounding neurodivergence. As computing stereotypes largely align with stereotypes of some neurodivergent…

Background: Instructors and students are on a continuing quest to identify predictors of learning. Objective: This study examines the associations between self-reported exam score and study techniques among students in two courses, Introductory Psychology and Computer Science. Method: We used an online survey to measure the extent students (N =…

This research investigates the personality characteristics of Information Technology students (CIT) in UAE University (UAEU) and how such features impact their IT learning. To achieve this objective, this research attempts to explain the impact of the Big-5 factors on learning using survey research. Results from 179 respondents suggested that…

This dissertation is a mixed-methods ethnographic study of students in the introductory class in the Engineering & Computer Science (ECS) department at University of California, Davis (UC Davis). I collected audio-recorded natural speech and questionnaire data from students attending this course during two academic quarters, Fall 2016 and…

The evidence suggests that emotional intelligence and personality traits are important qualities that workers need in order to successfully exercise a profession. This article assumes that the main purpose of universities is to promote employment by providing an education that facilitates the acquisition of abilities, skills, competencies and…

The tremendous effectiveness of intelligent tutoring systems is due in large part to their interactivity. However, when learners are free to choose the extent to which they interact with a tutoring system, not all learners do so actively. This paper examines a study with a natural language tutorial dialogue system for computer science, in which…

This study addresses why women are underrepresented in Computer Science (CS). Data from 1319 American first-year college students (872 female and 447 male) indicate that gender differences in computer self-efficacy, stereotypes, interests, values, interpersonal orientation, and personality exist. If students had had a positive experience in their…

Adaptive learning systems tailor content delivery to meet specific needs of the individual for improved learning-outcomes. Learning-styles and personalities are usually determined through the completion of questionnaires. There are a number of models available for this purpose including the Myer-Briggs Model (MBTI), the Big Five Model, and the…

Literature relating to personality and entrepreneurship has focused primarily on personality characteristics of traditional entrepreneurs. The focus of this study was on personality characteristics and temperaments of potential Information and Communication Technology (ICT) entrepreneurs. The main objective of the study was to evaluate the…

Introduction to data management classes are often times students' first exposure to advanced material in these areas. Many factors are likely to influence success in these classes, but empirical investigations have focused on relatively few variables. In this study, we extend this research by examining the relative contributions of the previously…

Research has established that intrinsic motivation has a positive effect on learning and academic achievement. In order to investigate the phenomenon of intrinsic motivation in technology-supported learning environments, this paper investigates the factors deemed to support individual student intrinsic motivation in online discussions. A research…

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)

Research directed toward a better understanding of the computer user/computer machine relationship has increased in recent years. To identify what factors may predict success in computer programming, 286 college students from three computer classes (160 from introductory programming; 60 from Cobol programming; and 66 from senior level programming)…

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…