The study aimed to examine the important predictors of Ghanaian classroom Diploma in Basic Education teacher trainees' growth mindset toward student learning. Participants included a purposive sample of 328 (177 male and 151 female) second- and third-year teacher trainees in one college of education in the northern part of Ghana. The predictor…

The Home Learning Environment (HLE) focuses on everyday learning habits in families to support children's competency development. In this study, we used multitrait-multimethod (MTMM) analyses to compare two theoretical dimensions and three methods for assessing the HLE and their associations with linguistic and mathematical competencies of…

In adaptive learning systems, various models are employed to obtain the optimal learning schedule and review for a specific learner. Models of learning are used to estimate the learner's current recall probability by incorporating features or predictors proposed by psychological theory or empirically relevant to learners' performance. Logistic…

Learning analytic models are built upon traces students leave in technology-enhanced learning platforms as the digital footprints of their learning processes. Learning analytics uses these traces of learning engagement to predict performance and provide learning feedback to students and teachers when these predictions signal the risk of failing a…

To create a satisfying social learning experience, an emerging challenge in educational data mining is to automatically assign students into effective learning teams. In this paper, we utilize discourse data mining as the foundation for an online team-formation procedure. The procedure features a deliberation process prior to team assignment,…

The past few years has seen the rapid growth of data mining approaches for the analysis of data obtained from Massive Open Online Courses (MOOCs). The objectives of this study are to develop approaches to predict the scores a student may achieve on a given grade-related assessment based on information, considered as prior performance or prior…

The phenomenon of wheel spinning refers to students attempting to solve problems on a particular skill, but becoming stuck due to an inability to learn the skill. Past research has found that students who do not master a skill quickly tend not to master it at all. One question is why do students wheel spin? A plausible hypothesis is that students…

How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…

Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…

Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…

A number of authors have presented data that challenge the validity of self-report of strategy use or choice of strategy. We created a multiple-choice measure of students' strategy use based on the work of Kozminsky, E., and Kozminsky, L. (2001), and tested it with three samples as part of a series of studies testing the fit of the DIME model of…

The purpose of this study was to integrate domain-learning theory and goal theory to investigate the learning processes, achievement goals, social goals, and achievement of 141 college students. Cluster-analytic procedures were used to categorize participants at different levels of expertise based on their responses on knowledge, interest, and…

The Myers-Briggs Type Indicator (MBTI) was developed specifically to make possible the implementation of Carl Jung's theory of type and is concerned mainly with conscious elements of the personality. It assumes that to function well, an individual must have a well-developed system for perception and a well-developed system for making decisions or…

The purpose of the present study was to determine whether individual differences in children's learning of emergent mathematics and literacy skills existed, and, if they did exist, whether they could be predicted from different child/environment characteristics. Eighty-one three- to five-year-old children took pretests, received training at four…

As early as 1964, cognitive preference was introduced as a way of describing an individual's preference for applying, relating or questioning information. To determine the role of cognitive preference in the pattern of variables predicting teachers' ratings of students' performance, 44 high school students completed a 61-item cognitive preference…