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Alfa Simwanza; Asish Paul – Gifted and Talented International, 2023
This study aims to present an integrative review of research on the models used for identification and development of sports talent. It has two purposes: (1) to systematically analyze the models followed to identify and develop sports talent in the period of 2012-2021 and (2) to determine the model that is mostly followed in sports talent…
Descriptors: Athletics, Talent Identification, Models, Athletes
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Herwin, Herwin; Fathurrohman, Fathurrohman; Wuryandani, Wuri; Dahalan, Shakila Che; Suparlan, Suparlan; Firmansyah, Firmansyah; Kurniawati, Kurniawati – International Journal of Evaluation and Research in Education, 2022
This study aimed to evaluate structural models and measurement models of student satisfaction in online learning. This was a quantitative study using a survey research design. Structural model testing was done by examining the relationship between several variables. The variables in question were the learning management system (LMS), admin…
Descriptors: Models, Measurement, Student Satisfaction, Electronic Learning
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Joemari Olea; Kevin Carl Santos – Journal of Educational and Behavioral Statistics, 2024
Although the generalized deterministic inputs, noisy "and" gate model (G-DINA; de la Torre, 2011) is a general cognitive diagnosis model (CDM), it does not account for the heterogeneity that is rooted from the existing latent groups in the population of examinees. To address this, this study proposes the mixture G-DINA model, a CDM that…
Descriptors: Cognitive Measurement, Models, Algorithms, Simulation
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Ken A. Fujimoto; Carl F. Falk – Educational and Psychological Measurement, 2024
Item response theory (IRT) models are often compared with respect to predictive performance to determine the dimensionality of rating scale data. However, such model comparisons could be biased toward nested-dimensionality IRT models (e.g., the bifactor model) when comparing those models with non-nested-dimensionality IRT models (e.g., a…
Descriptors: Item Response Theory, Rating Scales, Predictive Measurement, Bayesian Statistics
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Zhenchang Xia; Nan Dong; Jia Wu; Chuanguo Ma – IEEE Transactions on Learning Technologies, 2024
As an excellent means of improving students' effective learning, knowledge tracking can assess the level of knowledge mastery and discover latent learning patterns based on students' historical learning evaluation of related questions. The advantage of knowledge tracking is that it can better organize and adjust students' learning plans, provide…
Descriptors: Graphs, Artificial Intelligence, Multivariate Analysis, Prediction
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Abdessamad Chanaa; Nour-eddine El Faddouli – Smart Learning Environments, 2024
The recommendation is an active area of scientific research; it is also a challenging and fundamental problem in online education. However, classical recommender systems usually suffer from item cold-start issues. Besides, unlike other fields like e-commerce or entertainment, e-learning recommendations must ensure that learners have the adequate…
Descriptors: Artificial Intelligence, Prerequisites, Metadata, Electronic Learning
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Guangcan Xiang; Zhaojun Teng; Yiru Du; Linchuan Yang; Yanyan He – International Journal of Behavioral Development, 2024
This study examined the longitudinal relationships among self-concept clarity (SCC), hope, and subjective well-being (i.e., emotional well-being and cognitive well-being). Specifically, we tested both the between-person and within-person associations of SCC with subjective well-being among 2,001 Chinese adolescents (age range 11-24 years, 42.9%…
Descriptors: Foreign Countries, Adolescents, Self Concept, Psychological Patterns
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Elyda Freitas; Fernando Fonseca; Vinicius Cardoso Garcia; Taciana Pontual Falcao; Elaine Marques; Dragan Gaševic; Rafael Ferreira Mello – Journal of Learning Analytics, 2024
Learning analytics (LA) adoption is a challenging task for higher education institutions (HEIs) since it involves different aspects of the academic environment, such as information technology infrastructure, human resource management, ethics, and pedagogical issues. Therefore, it is necessary to provide institutions with supporting instruments to…
Descriptors: Learning Analytics, Higher Education, Models, Program Implementation
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Dario Wahl; Jürgen Münch – Education & Training, 2024
Purpose: Competency models are widespread in entrepreneurship and help develop educational offerings. Although existing models cater to specific sub-disciplines, the field of Industry 4.0 startups still needs a tailored competency. Therefore, this study aims to bridge this gap by developing a specific competency model to address the unique…
Descriptors: Competence, Models, Entrepreneurship, Information Technology
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Junhuan Wei; Qin Wang; Buyun Dai; Yan Cai; Dongbo Tu – Journal of Educational Measurement, 2024
Traditional IRT and IRTree models are not appropriate for analyzing the item that simultaneously consists of multiple-choice (MC) task and constructed-response (CR) task in one item. To address this issue, this study proposed an item response tree model (called as IRTree-MR) to accommodate items that contain different response types at different…
Descriptors: Item Response Theory, Models, Multiple Choice Tests, Cognitive Processes
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Anna Garrido; Digna Couso – Journal of Research in Science Teaching, 2025
The importance of models and modeling in science education is well-recognized, yet there exists significant polysemy among these terms within the literature. This ambiguity often leads to confusion, particularly regarding whether modeling represents an expected student performance, an instructional strategy to promote such performance, or both.…
Descriptors: Science Education, Learner Engagement, Models, Educational Practices
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Geoffrey Lewis – Educational Review, 2025
This paper reports on the results of a critical literature review that focusses on the classroom deployment of teaching assistants (TAs) in England between 2010 and 2020, a period marked by an upward trend in the number of these adults in school workforces internationally. The study utilises the theory of practice architectures (Kemmis, Wilkinson,…
Descriptors: Teaching Assistants, Foreign Countries, Educational Trends, Educational Practices
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Vagelis Plevris – Journal of Civil Engineering Education, 2025
Forum papers are thought-provoking opinion pieces or essays founded in fact, sometimes containing speculation, on a civil engineering topic of general interest and relevance to the readership of the journal. The views expressed in this Forum article do not necessarily reflect the views of ASCE or the Editorial Board of the journal.
Descriptors: Civil Engineering, Engineering Education, Artificial Intelligence, Technology Uses in Education
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Cortney DiRussa; Samantha Coyle-Eastwick; Britney Jeyanayagam – International Journal of Bullying Prevention, 2025
Bullying victimization is a school problem that warrants attention. While most work has focused on understanding bullies and victims, it is important that research explore how to promote bystander behavior during bullying as a mechanism to deter bullying in schools. Perceptions of the school climate may impact the likelihood of a student's…
Descriptors: Bullying, Intervention, Middle School Students, Prevention
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Safa Ridha Albo Abdullah; Ahmed Al-Azawei – International Review of Research in Open and Distributed Learning, 2025
This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…
Descriptors: Electronic Learning, Academic Achievement, Grade Prediction, Data Analysis
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