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…

In distance learning, an internet-based learning has been developed as a learning platform for courses, and a distance learner's acquisition depends on his/her personal characteristics. Thus the present study was planned to investigate personal attributes of distance learners that may contribute to their levels of computer anxiety and computer…

This study examines factors that determine the attitudes of learners toward a blended e-learning system (BELS) using data collected by questionnaire from a sample of 396 students involved in a BELS environment in Vietnam. A theoretical model is derived from previous studies and is analyzed and developed using structural equation modeling…

Using Program for International Student Assessment (PISA) 2012, an international education database, this study analyzed the evaluations of computer use for academic learning by 15-year-old students from seven Edu-systems (unit in PISA) in Eastern Asia. Six variables were identified in association with students' evaluations of computer use…

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…

A series of three studies examined the validity of certain features of computer person and non-computer person stereotypes, including gender, academic achievement, communication apprehension, and receiver apprehension. First a pilot study developed a computer attitude estimate (CAE) scale and survey method. Subjects were 47 high school students…

Demographic and personality variables and computer use were used to predict computer self-confidence with a sample of students enrolled in online college-credit classes. Computer self-confidence was measured with one 10-choice question. Demographic variables included age, annual income, geographic region, gender, and ethnicity. Computer use was…