Objectives: This study examines the effectiveness of interventions in first-year math courses in higher education. Our goal is to investigate the efficacy of a supplemental support requirement on the passing rates of students in their first-year math courses. Method: We gathered and analyzed data on 3,249 students using descriptive statistics and…

The well-studied Baker et al., affect detectors on boredom, frustration, confusion and engagement concentration with ASSISTments dataset were used to predict state tests scores, college enrollment, and even whether a student majored in a STEM field. In this paper, we present three attempts to improve upon current affect detectors. The first…

In this study, we used the classification and regression trees (CART) method to draw relationships between student self-reported learning outcomes in 26 field trips to natural environments and various characteristics of the field trip that include variables associated with preparation and pedagogy. We wished to examine the extent to which the…

Three studies (N = 1119) were conducted to replicate and expand upon Kearney, Plax, Hays, and Ivey's seminal research on instructor misbehaviors. In study 1 (n = 233), a replication of Kearney et al.'s study revealed 43 categories of perceived instructor misbehaviors; 27 of the misbehaviors were originally identified by Kearney et al. and 16 new…

It is axiomatic that context influences interpersonal behaviors, yet communication researchers have had limited success in generating a set of conceptual or operational definitions for the situation variable. Two studies were conducted to examine emotion-eliciting qualities as the basis for such a typology and the relationship of situations…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…