The aim of the study is to identify variables that explain students' academic performance, determine their relative importance, and consequently, develop an index to distinguish advantaged and disadvantaged schools in pursuit of educational equality. By using this index, we intend to build a model for evaluating schools' overall performance based…

The purpose of the present study is to investigate the initial psychometric properties and cultural adaptation of the School Belongingness Scale (SBS) in a sample of Iranian adolescents. Participants included 324 students, ranging in age between 12 and 18 years (M = 14.68, SD = 1.39). Confirmatory factor analysis indicated that responses to the…

Educational data mining constitutes a recent research field which gained popularity over the last decade because of its ability to monitor students' academic performance and predict future progression. Numerous machine learning techniques and especially supervised learning algorithms have been applied to develop accurate models to predict…

Much research shows academic self-concept and achievement are reciprocally related over time, based on traditional longitudinal data cross-lag-panel models (CLPM) supporting a reciprocal effects model (REM). However, recent research has challenged CLPM's appropriateness, arguing that CLPMs with random intercepts (RI-CLPMs) provide a more robust…

The aim of the present study was to investigate the predictive role of the 3 × 2 achievement goal model on test anxiety in the specific context of Physical Education (PE). Four hundred and eighty-six French students (mean age = 15.83, standard deviation = 1.20) voluntarily and anonymously filled out the Revised Test Anxiety and Regulatory…

Among other things, learning to write entails learning how to use complex sentences effectively in discourse. Some research has therefore focused on relating measures of syntactic complexity to text quality. Apart from the fact that the existing research on this topic appears inconclusive, most of it has been conducted in English L1 contexts. This…

Industry-school partnerships offer authentic learning opportunities and can support the development of students' interest in a STEM career. The expectancy-value model of achievement-related choice can help to explain how several factors influence career choice. Interest-enjoyment values and attainment values are most important in students'…

Classroom environment, family, and peers are important factors in influencing students' science learning. The primary aim of this study was to examine the effects of three environmental factors related to science learning (motivating science class, family models, and peer models) on students' approaches to learning science (deep approach and…

This study examined students' genetics learning in a game-based environment by exploring the connections between the expectancy-value theory of achievement motivation and flow theory. A total of 394 secondary school students were recruited and learned genetics concepts through interacting with a game-based learning environment. We measured their…

This study uses Self-Determination Theory as a theoretical framework to test the hypotheses that students self-reports of their motivational regulations would predict teachers' perception of students' motivational regulations, even after controlling for performance. An additional aim was to test a process model in which students' perceived…

Identifying struggling students in real-time provides a virtual learning environment with an opportunity to intervene meaningfully with supports aimed at improving student learning and engagement. In this paper, we present a detailed analysis of quit prediction modeling in students playing a learning game called Physics Playground. From the…

In this article, a science interest network model (SINM) is introduced and a first empirical test of the model is presented. The SINM models interest as a dynamic relational construct, in which different interest components, that is, affective, behavioral, and cognitive components and related motivational components mutually reinforce one another…

Performance prediction is a leading topic in learning analytics research due to its potential to impact all tiers of education. This study proposes a novel predictive modeling method to address the research gaps in existing performance prediction research. The gaps addressed include: the lack of existing research focus on performance prediction…

Research to date has identified various risk factors in the emergence of depressive disorders in adolescence. There are very few studies, however, which have analyzed the role of perceived emotional intelligence in depressive symptoms longitudinally during adolescence. This work aimed to analyze longitudinal relationships between perceived…

Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…