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Meral Seker – International Journal of Assessment Tools in Education, 2023
Despite the unanimous agreement regarding the positive outcomes of learner engagement, theorists and researchers draw attention to the disparate conceptualizations and structural models of "engagement" construct. The present study, in this respect, attempts to contribute to the development of a theoretical framework by suggesting a…
Descriptors: Learner Engagement, Theories, Models, Higher Education
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
Katy Ieong Cheng Ho Weatherly; Jenny Jieun Park – Gifted Child Quarterly, 2026
This study explores the evolving definitions of creativity within the context of musical giftedness and development, using a collaborative autoethnographic approach to analyze the life experiences of two musicians. Drawing from Sternberg's WICS model, we propose a MwSIC Model of Creativity that places an individual's life story at the center,…
Descriptors: Music Education, Musicians, Gifted, Models
Fabiana Zama – International Journal of Mathematical Education in Science and Technology, 2024
This paper describes a teaching experiment in a Numerical Methods course for Master of Science students. The experiment uses scientific papers to develop modelling studies in the context of wine fermentation microbial interactions. The course involves theoretical and laboratory classes that focus on implementing numerical methods using Matlab for…
Descriptors: Masters Programs, Mathematical Models, Graduate Students, Microbiology
Emerald Henderson – Journal of Moral Education, 2024
A foundational principle of neo-Aristotelian character education is that virtue can be cultivated, in particular through the emulation of moral role models, such as teachers. Yet despite the pedagogical appeal of role modelling, what emulation involves remains methodologically unclear. In this paper, I suggest that part of this ambiguity lies in a…
Descriptors: Moral Values, Moral Development, Ethics, Role Models
Krystle Jalalian-Chursky; Brittany M. Tausen – Student Success, 2024
This practice report describes the development of a compensatory educational model to introduce first-year college students to resilient mindsets. The Teaching Resilient Mindsets Model emphasized (1) realistic expectations, (2) an "always learning" mindset, and (3) being prepared for challenges before they arise. After development, the…
Descriptors: Resilience (Psychology), Active Learning, College Freshmen, Teaching Models
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
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
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
Pasty Asamoah; John Serbe Marfo; Matilda Kokui Owusu-Bio; Daniel Zokpe – Education and Information Technologies, 2024
In this brief we shift the current academic integrity conversation from "detecting and preventing plagiarism" to "examining how plagiarized contents can be corrected with an objective knowledge of the number of words to modify and properly acknowledged". We proposed a simple, yet useful and powerful mathematical model that is…
Descriptors: Error Correction, Plagiarism, Integrity, Prevention
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
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
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
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
Leonidas A. Zampetakis – Journal of Creative Behavior, 2024
In the last decade, research on the connection between curiosity and creativity has surged revealing a positive correlation. However, these findings are primarily based on cross-sectional studies, which do not establish the direction of the relationship between creativity and curiosity. Is curiosity the driving force behind creativity, or does…
Descriptors: Creativity, Personality Traits, Structural Equation Models, Foreign Countries

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