Almost in every aspect of life, classification and categorization make it easier for humans to analyze complex structures and systems. In games, the classification of the players based on their demographics, behaviors, expectations and preferences of the game is important to increase players' motivation and satisfaction. Likewise, knowing the…

Predictive models on students' academic performance can be built by using historical data for modelling students' learning behaviour. Such models can be employed in educational settings to determine how new students will perform and in predicting whether these students should be classed as at-risk of failing a course. Stakeholders can use…

The early detection of students' academic performance or final grades helps instructors prepare their online courses. In the Open University Learning Analytics Dataset, I found many online students clicked the course materials before the first day of class. This study aims to investigate how data mining models can use this student interaction data…

Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning…

Valid and reliable teacher ratings serve as the foundation for screening and assessment of youth with behavioral disorders and twin studies offer an opportunity to study those ratings. We conducted a meta-analysis of 15 empirical investigations of aggressive and rule-breaking behavior using teacher ratings in the context of a twin research design.…

Engagement is a prominent theoretical orientation that has received great attention from educators and researchers. This article provides a literature overview of the engagement construct pertaining to its various definitions, dimensions, and major conceptualisations. In addition, the review sheds light on two major approaches to engagement in the…

Learning Analytics (LA) and adaptive learning are inextricably linked since they both foster technology-supported learner-centred education. This study identifies developments focusing on their interplay and emphasises insufficiently investigated directions which display a higher innovation potential. Twenty-one peer-reviewed studies are…

Classroom research has typically focused on the role of teaching practices and the quality of instruction in children's academic performance, motivation and adjustment--in other words, classroom interactions initiated by the teacher. The present article presents a model of classroom interactions initiated by the child, that is, the notion that a…

Today, in the era of open access to digital-based information and communication, one of the biggest challenges in higher education to realize moral education and to build academic culture and integrity is the emergence of academic dishonesty behaviors among academic members. The paper describes academic dishonesty behaviors in Distance Higher…

Understanding factors associated with children's early behavioral difficulties is of vital importance to children's school success, and to the prevention of future behavior problems. Although biological factors can influence the expression of certain behaviors, the probability of children exhibiting classroom behavior problems is intensified when…

Argues that although both functionalist and "reproductive" radical paradigms of formal education assume that students passively internalize dominant norms and values taught by the school, the assumption is not invariably tenable. Demonstrates that systems of education serve as agents of legitimation and mediate the dialective…

This article describes the processes and findings of a systematic review of research into the effectiveness of strategies to support pupils with emotional and behavioural difficulties (EBD) in mainstream primary schools. A search for studies carried out from 1975-1999 resulted in 265 citations, of which 96 were found to be within the scope of the…

Briefly discusses current views of the way anxiety decreases students' learning from instructional software and describes ways software designers might compensate for the learning problems of anxious students. (MBR)

This review of the current status of the human information processing model presents the Stahl Perceptual Information Processing and Operations Model (SPInPrOM) as a model of how thinking, memory, and the processing of information take place within the individual learner. A related system, the Domain of Cognition, is presented as an alternative to…

Model proposes that young people's perceived autonomy support in physical education will affect their perceived locus of causality, intentions, and physical activity behavior in leisure time. Results support the trans-contextual model indicating that perceived autonomy support in an educational context influences motivation in a leisure-time…