Background: Fear of negative evaluation, defined as a sense of dread associated with being unfavorably evaluated in a social situation, is the primary factor underlying student anxiety in college science courses and is disproportionately experienced by students who are underserved in science. Yet, it is unknown why fear of negative evaluation…

The aim of the present work is to contribute to the study of use intention for technologies related to the increasingly popular massive open online courses (MOOCs). Informed by a scientific literature review, the work proposes a behavioral model to explain use intention via various constructs. The results of the analysis verify the effect of user…

Despite more women and underrepresented students entering engineering, there are still gaps in achievement. A potential remedy is to establish equitable team dynamics during groupwork. Groupware systems have been implemented in the workforce and, recently, piloted in undergraduate lowerdivision education to establish team norms. Our prior work…

Contribution: This article analyzes the correlation between users' digital competencies and their tendencies to successfully complete energy sustainability massive online open courses (MOOCs). In addition to reviewing whether digital competencies are a predictor of the effective completion of the course, this article analyzes whether participants…

This study tries to propose a unified model integrating the unified theory of acceptance and use of technology (UTAUT) model, task-technology fit (TTF) model, and user satisfaction to investigate the determinants that affect university students' continued intention of using massive open online courses (MOOCs). Based on the data of a survey on 464…

Massive open online courses (MOOCs) show great potential to transform traditional education through the Internet. However, the high attrition rates in MOOCs have often been cited as a scale-efficacy tradeoff. Traditional educational approaches are usually unable to identify such large-scale number of at-risk students in danger of dropping out in…

Massive Open Online Courses (MOOCs), capable of providing free (or low cost) courses for millions of learners anytime and anywhere, have gained the attention of researchers, educational institutions, and learners worldwide. Even though they provide several benefits, there are still some criticisms of MOOCs. For instance, MOOCs' high dropout rates…

High dropout rates have been an unsolved issue in massive open online courses (MOOCs). As perceived effectiveness predicts learner retention in MOOCs, instructional design factors that affect it have been increasingly examined. However, self-regulated learning, self-efficacy, and task value have been underestimated from the perspective of…

This study explores a variety of variables with the intent of identifying specific student groups that may struggle with performance in a large general education course. The ultimate objective of this study is to facilitate the success of acknowledged at-risk students. Drawing in part on the theory of social capital, this study examines…

Having a growth mindset has been shown to predict better academic performance in a variety of educational settings. Efforts to instill a growth mindset through educational interventions have demonstrated positive effects on academic success. However, many of the interventions previously tested are relatively time intensive and costly for some…

Massive Open Online Courses (MOOCs) have gradually become a dominant trend in education. Since 2014, the Ministry of Education in Taiwan has been promoting MOOC programs, with successful results. The ability of students to work at their own pace, however, is associated with low MOOC completion rates and has recently become a focus. The development…

The purpose of this study is to classify the predictors of satisfaction and intention to use in Massive Open Online Courses (MOOC). Informed by a scientific literature review, this work poses a behavioral model to explain intention to use via various constructs. To this end, the authors have carried out a study through an online survey of Spanish…

In Mexico, there has been a rise in Massive Open Online Course (MOOC) enrollments through platforms such as MexicoX. However, this rise in interest has not been accompanied by a corresponding increase in completion rates. This article examines the factors that influence Mexican learners' retention rates and learner engagement to determine the…

Graded Response Method (GRM) is an alternative to multiple-choice testing where students rank options according to their relevance to the question. GRM requires discrimination and inference between statements and is a cost-effective critical thinking assessment in large courses where open-ended answers are not feasible. This study examined…

Online tools provide unique access to research students' study habits and problem-solving behavior. In MOOCs [Massive Open Online Courses], this online data can be used to inform instructors and to provide automatic guidance to students. However, these techniques may not apply in blended courses with face to face and online components. We report…