Research on student retention in higher education (HE) physics could benefit by studying emotions in the context of engagement and learning. However, popular retention theories include only a narrow selection of emotions, creating a need to look elsewhere. In this study, we borrow the lens of an affective engagement model, the framework of an…

There has been an increased interest in personality traits (especially the five-factor model) in relation to education and learning over the last decade. Previous studies have shown a relation between personality traits and learning, and between personality traits and academic achievement. The latter is typically described in terms of Grade Point…

Although students vary in their abilities and interests, "hyper-individualizing" the curriculum in an attempt to accommodate these differences is not the best way to help each student excel, write Willingham and Daniel. Drawing on educational research, the authors give examples of several cognitive must haves (things that the cognitive system…

Several studies have applied the dichotomy of deep and surface approaches to learning in a range of disciplinary contexts. Existing questionnaires have largely assumed the existence of these constructs; however, in a recent study Case and Marshall (2004) described two additional context-specific approaches to learning in engineering. The current…

Schoolwide Response to Intervention (RTI) services are growing in prevalence in U.S. schools. Most advanced are RTI programs in elementary schools, with preschool and secondary education programs beginning to discuss, develop, and experiment with schoolwide RTI. At its heart, RTI seeks to account for individual differences in student learning…

The classroom is an emotional place. Students can be excited during studying, hope for success, feel pride in their accomplishments, be surprised at discovering a new solution, experience anxiety about failing examinations, feel ashamed over poor grades, or be bored during lessons. In addition, social emotions play a role and students also bring…

The results of this study support earlier contentions that standardized intellectual ability and school achievement tests are quite heterogeneous with respect to cognitive style requirements. The findings indicate, however, that additional variance was accounted for by cognitive style measures beyond that of verbal and nonverbal IQ relation to…

This study used structural equation modeling and multilevel modeling approaches for purposes of simultaneous study of individual and group change patterns on three waves of two longitudinally assessed domains. This study illustrates a few of the dual approaches to the analysis of covariance structures as they relate to the same individual growth…

Studied the effects of eighth grade students' cognitive, motivational, personality, and classroom interaction characteristics on their academic achievement, attitudes toward science, and socio-metric measures. Concluded that a specified combination of student traits and teacher attention could lead to different unintential consequences in science…

Presents a study that focuses on atypical patterns of contextualized learning engagement that are often difficult to interpret because they exhibit varying degrees of conceptual dissonance. Addresses how the question of how dissonance can be interpreted and modeled. Provides an example of an observed interference model of student learning. (CMK)

Research supported by OEC-5-10-297 and by National Science Foundation Grant No. GP-5114.

Primarily a longitudinal and quantitative analysis of achievement functioning, this experiment sought to identify factors which promote or impair the learning of individual children. The 683 Junior High students were divided into one of eight groups according to sex, race and whether their seventh grade Iowa Test of Basic Skills Composite score…

This study was made to assess the relative effects of individual learner characteristics on the prediction of academic success in a traditional course and an independent study course in science, and to predict achievement for individual students. Variables from personality and intellective areas were employed in conjunction with biographical data.…

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…

This study investigated whether individual change over time in mathematics and language differs from student to student and whether individual parameters of each of these domains were related within domain. The study also attempted to gain an understanding of individual change in student academic achievement through the application of one of the…