The purpose of the present study is to analyze the digital competence of Higher Education students, as a function of their academic performance (have either repeated or a not previously), as well as to predict its significant predictors. For this, an ex-post factor and a sample of 17301 students from Chile (Latin America) were utilized. A…

The causal relationships among the three presences in the Community of Inquiry (CoI) framework are explored and tested in this paper. The CoI framework has been used extensively in the research and practice of online and blended learning contexts. With the development of a survey instrument based on the CoI framework, it is possible to test the…

Based on a review of prior research, a causal model was proposed to explain the relationship between child abuse, dissociation, depression, and revictimization. In the model, dissociation and depression were proposed as mediator variables, developing out of child abuse and leading to revictimization. Subjects were 301 male and female university…

Develops a causal model that explains over 40% of the variance in matriculation mathematics achievement of mature internal and external students at the University of Papua New Guinea. Background variables seem more important in the learning of mathematics compared to mediating variables for external students than for internal students. (MDH)

This study examines the effectiveness of multiple methods of soliciting attributions. The Attributional Style Questionnaire, specific attributions, and causal dimensions are used to predict the grades and feelings of frustration of college algebra students. The results show that, contrary to current theoretical work, both specific attributions and…

Defines and illustrates basic concepts of dichotomous logistic regression (DLR) and presents strategies for teaching these concepts. Strategies include using analogies between ordinary least squares regression and logistic regression; illustrating concepts with contingency tables; and linking logistic regression concepts to interpretation of…

Examines two classes of production functions in which the long-run competitive equilibrium scale of the firm increases when the relative price of the dominant factor decreases. Compares these with a third class of production functions where the equilibrium scale is independent of the relative price of the dominant factor. (MJP)

Provides a brief overview of single-subject research designs. This method exercises its power by examining changes in single subjects' responses over time across experimental conditions. Describes a classroom project in which students collect repeated measures of their own behavior and graph the data. (MJP)

A three-stage model of academic probation that addresses cognitive, affective, behavioral, and environmental factors is presented. Stages examine precursors to probation (factors inhibiting student performance), reactions to being placed on probation, and coping strategies that predict long-term consequences. A key assumption is that student…

Drawing on data collected from students attending Australian rural- and urban-based universities, structural modeling was used to test the validity of a model of student persistence and satisfaction in agricultural courses. The model placed personal and environmental factors as predictors of student persistence and satisfaction and was comprised…

Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…