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Saqr, Mohammed; Jovanovic, Jelena; Viberg, Olga; Gaševic, Dragan – Studies in Higher Education, 2022
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…
Descriptors: Meta Analysis, Learning Analytics, Predictor Variables, Correlation
Muhammad Ashraf Fauzi; Zuria Akmal Saad; Muhammad Ariff Aripin; Noraina Mazuin Sapuan – Journal of Computer Assisted Learning, 2025
Background Study: Gamification is an effective and interactive approach to engaging students in teaching and learning. As digital technology develops, higher education institutions (HEIs) must embrace and keep pace with gamification for interactive teaching and learning approaches. Objective: The purpose of this study is to review gamification in…
Descriptors: State of the Art Reviews, Gamification, Game Based Learning, Bibliometrics
Ozan Rasit Yürüm; Tugba Taskaya-Temizel; Soner Yildirim – Technology, Knowledge and Learning, 2024
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…
Descriptors: Literature Reviews, Distance Education, Online Courses, Video Technology
Hyemin Han; Marja Graham – Theory and Research in Education, 2024
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…
Descriptors: Moral Values, Self Determination, Intervention, Reliability
Hui-Tzu Hsu; Chih-Cheng Lin – Journal of Computer Assisted Learning, 2024
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…
Descriptors: Intention, Vocabulary Development, Handheld Devices, College Students
Olanrewaju P. Olaogun; Nathaniel J. Hunsu – European Journal of Psychology of Education, 2025
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…
Descriptors: College Students, College Faculty, Engineering Education, Misconceptions
Granic, Andrina – Education and Information Technologies, 2022
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…
Descriptors: Educational Technology, Technology Integration, Predictor Variables, Electronic Learning
Eun Yeong Choe; David Sheffield – Environmental Education Research, 2025
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…
Descriptors: Children, Adolescents, Natural Resources, Intervention
Thatarot Chamroonkul; Pattarawat Jeerapattanatorn; Thanapat Sripan – Higher Education Studies, 2025
This study presents a scoping review of factors influencing innovation-driven entrepreneurship among undergraduate students in private higher education institutions. Guided by the methodological framework of Arksey and O'Malley (2005) and the PRISMA-ScR reporting guidelines (Tricco et al., 2018), this review systematically synthesizes theoretical,…
Descriptors: Entrepreneurship, Undergraduate Students, Private Colleges, Innovation
Johnmarshall Reeve; Geetanjali Basarkod; Hye-Ryen Jang; Rafael Gargurevich; Hyungshim Jang; Sung Hyeon Cheon – Educational Psychology Review, 2025
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…
Descriptors: Meta Analysis, Learner Engagement, Academic Achievement, Social Support Groups
Wang, Qin; Mousavi, Amin – British Journal of Educational Technology, 2023
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.…
Descriptors: Predictor Variables, Academic Achievement, Literature Reviews, Meta Analysis
Yanagisawa, Akifumi; Webb, Stuart – Studies in Second Language Acquisition, 2022
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…
Descriptors: Cognitive Ability, Vocabulary Development, Meta Analysis, Linguistic Theory
Majid Elahi Shirvan; Esmaeel Saeedy Robat; Abdullah Alamer; Nigel Mantou Lou; Elyas Barabadi – Educational Psychology Review, 2024
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…
Descriptors: Second Language Learning, Second Languages, Outcomes of Education, Language Attitudes
Alex Shum; Luke K. Fryer; Jan D. Vermunt; Clara Ajisuksmo; Francisco Cano; Vincent Donche; Dennis C. S. Law; J. Reinaldo Martínez-Fernández; Peter Van Petegem; Ji Yu – Higher Education: The International Journal of Higher Education Research, 2024
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.…
Descriptors: College Students, Learning Strategies, Cross Cultural Studies, Individualism
Jongile, Sonwabo – International Journal on E-Learning, 2022
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…
Descriptors: Predictor Variables, At Risk Students, Potential Dropouts, College Students

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