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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
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
Chuenjai Sukpan; Rebecca M. Kuiper – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The (Random Intercept) Cross-Lagged Panel Model ((RI-)CLPM) is increasingly used in psychology and related fields to assess the longitudinal relationship of two or more variables on each other. Researchers are interested in the question which of the lagged effects is causally dominant receives considerable attention. However, currently used…
Descriptors: Causal Models, Psychological Studies, Multivariate Analysis, Cognitive Mapping
Sangbaek Park – ProQuest LLC, 2024
This dissertation used synthetic datasets, semi-synthetic datasets, and a real-world dataset from an educational intervention to compare the performance of 15 machine learning and multiple imputation methods to estimate the individual treatment effect (ITE). In addition, it examined the performance of five evaluation metrics that can be used to…
Descriptors: Artificial Intelligence, Computation, Evaluation Methods, Bayesian Statistics
Pósch, Krisztián – Sociological Methods & Research, 2021
Complex social scientific theories are conventionally tested using linear structural equation modeling (SEM). However, the underlying assumptions of linear SEM often prove unrealistic, making the decomposition of direct and indirect effects problematic. Recent advancements in causal mediation analysis can help to address these shortcomings,…
Descriptors: Social Theories, Causal Models, Structural Equation Models, Statistical Analysis
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
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
Alison E. Calentino; Nathan M. Hager; Elise M. Adams; Aline K. Szenczy; Lindsay Dickey; Autumn Kujawa; Greg Hajcak; Brady D. Nelson; Daniel N. Klein – Child Development, 2025
The late positive potential (LPP), an event-related potential reflecting affective processing, may exhibit developmental shifts in magnitude and scalp location. In the present longitudinal study, 501 youth (47.3% female; 89.4% White; 12.0% Hispanic) completed the emotion interrupt task to elicit the LPP to neutral, positive, and negative images at…
Descriptors: Cognitive Processes, Brain Hemisphere Functions, Children, Adolescents
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
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