Predictors of student academic success do not always replicate well across different learning designs, subject areas, or educational institutions. This suggests that characteristics of a particular discipline and learning design have to be carefully considered when creating predictive models in order to scale up learning analytics. This study…

The purpose of this study was to investigate the use of predictive video analytics in online courses in the literature. A systematic literature review was performed based on a hybrid search strategy that included both database searching and backward snowballing. In total, 77 related publications published between 2011 and April 2023 were…

The present study aimed to examine how to improve the effectiveness of moral exemplar-applied interventions based on the pillars of the self-determination theory framework, autonomy, competence, and relatedness. Past research has mainly focused on the relatedness and attainability of moral exemplars for predicting motivation outcomes. The data for…

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…

Students have misconceptions about many scientific topics they encounter in the classroom--such misconceptions are especially rife in subjects with counterintuitive concepts. Several studies have copiously documented students' misconceptions in different science domains. Research shows that students' misconceptions can be resistant to change and…

During the past decades a respectable number and variety of theoretical perspectives and practical approaches have been advanced for studying determinants for prediction and explanation of user's behavior towards acceptance and adoption of educational technology. Aiming to identify the most prominent factors affecting and reliably predicting…

Beyond correlational studies exploring the benefits of nature exposure, there have been studies assessing interventions that aim to improve nature connection in children and adolescents. A feeling of connection with nature or 'nature connectedness' describes our attitude towards nature, primarily reflecting the emotional, cognitive, and…

Students involve themselves in learning activities multidimensionally, including behaviorally, cognitively, emotionally, and agentically. This multidimensional involvement predicts important outcomes, but it is also possible that each type of engagement might have its own specialized purpose or function. To investigate this possibility, we…

The present meta-analysis aimed to improve on Involvement Load Hypothesis (ILH) by incorporating it into a broader framework that predicts incidental vocabulary learning. Studies testing the ILH were systematically collected and 42 studies meeting our inclusion criteria were analyzed. The model-selection approach was used to determine the optimal…

Technologies and teaching practices can provide a rich log data, which enables learning analytics (LA) to bring new insights into the learning process for ultimately enhancing student success. This type of data has been used to discover student online learning patterns, relationships between online learning behaviors and assessment performance.…

Second language (L2) learners' beliefs about the nature of language learning, specifically language mindsets, is a recent productive line of L2 research. Researchers argue that language mindsets are key factors for language learning success. However, the association between language mindsets and different language learning outcomes is inconsistent…

Studies on learning strategies across cultures in higher education inform the internationalisation of teaching and learning. Previous comparisons relied on geographical generalisations (e.g., "Asian", "Western", "Latin-American") or only variable-centred methods, which can overgeneralise the contexts they represent.…

The identification of predictor variables for students at-risk of dropping out of university has received increased attention in higher education settings internationally concerning the context of origin in which they are developed and the different academic context in which they are introduced, often lacking schema-theoretic perspectives to offer…

COVID-19 has significantly changed the teaching-learning process and it may indeed be a permanent change. Schools, colleges and universities have had to switch to remote/e-learning in an attempt to continue their operations during the pandemic. Institutions have struggled to identify the key success factors necessary for effective e-learning.…

In most STEM instruction, students interact with visual representations, which can be presented in either in a physical or a virtual mode or in a blended form that combines both modes. While much research has compared the effects of physical and virtual representations on students' learning, the field is far from being able to predict when and why…