The field of education technology is embracing a use of learning analytics to improve student experiences of learning. Along with exponential growth in this area is an increasing concern of the interpretability of the analytics from the student experience and what they can tell us about learning. This study offers a way to address some of the…

The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…

The present study was designed to test the effect of self-explanation and prediction on the development of principled understanding of novices learning to play chess. First-year psychology students, who had no chess experience, first learned the basic rules of chess and were afterwards divided in three conditions. They either observed (control…

Explored the contributions of subject matter knowledge, strategic processing, and interest to college students' educational psychology learning. In general, results for 77 undergraduates uphold the predictions of the model of domain learning (P. Alexander, 1997). Students' subject-matter knowledge, strategic processing, interest, and interactive…

This study examined the effectiveness of using selected self-report measures assessing motivational orientation, learning strategies, procrastination, and perceptions of daily hassles to facilitate the prediction of final examination grades in a self-paced introductory psychology course. Four surveys purporting to measure the constructs were…

In two studies, college students' self-regulated learning was assessed and used as a predictor of transfer. Study 1 (n=229 undergraduates) explored whether components of self-regulation related to the ability to transfer information from a base problem-solving task to a target problem-solving task. Study 2 (n=98 undergraduates) replicated the…

The aim of this study was to report the development and testing of a model explaining gender differences in the interrelationships among aptitude measures, high school mathematics and science preparation, college academic level, motivational and self-regulatory variables, and grade point average using structural equation modeling and multiple…

This study examined the effectiveness of using selected self-report measures assessing motivational orientation, learning strategies, procrastination, and perceptions of daily hassles to facilitate the prediction of student engagement in a self-paced introductory psychology course. Research has shown these factors to be associated with academic…

Fifty-five college students were assessed on four types of cognitive and metacognitive measures in math, language, and visual/spatial tasks. They were measures on self-reported general metacognitive skills, predicted performance, metacognitive behaviors, and actual performance. The students' self-reported assessments of their ability on a general…

Illustrates how prediction can be used to improve content area reading, provides examples of successful prediction techniques, and encourages teachers to develop their own uses of prediction. (FL)

This study examined the predictive validity of precollege variables, such as high school rank, high school mathematics and science preparation, motivation, and self-regulated learning variables in predicting academic achievement status for high- and low-achieving university students using hierarchical logistic regression. The variables used were…