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Mohammed El Messaoudi – Educational Process: International Journal, 2024
Background/purpose. Morocco's recent higher education reform, Pacte ESRI-2030, lays emphasis on digital skills, a major component of Power Skills, as a catalyst for student success. Pursuant to this, the current study aimed at assessing the effectiveness of a blended learning model in improving undergraduate students' digital literacy skills.…
Descriptors: Foreign Countries, Undergraduate Students, Digital Literacy, Blended Learning
Shang-Pin Li; Chih-Cheng Huang – Asia Pacific Journal of Education, 2024
The main purpose of this study was to discuss the effects of positive psychological characteristics on the individual creativity of technological university students. First, this study investigated the relationship between positive psychological characteristics, individual creativity, creative self-efficacy, and hope. Second, surveys were…
Descriptors: Foreign Countries, College Students, Technology Education, Positive Attitudes
Fei Shen; Ying Zhang; Xiafei Wang – Professional Counselor, 2024
Intimate partner violence (IPV) has consistently been shown to have deleterious effects on survivors' interpersonal and intrapersonal relationships. Despite the negative outcomes of IPV, distress after IPV varies widely, and not all IPV survivors show a significant degree of distress. The present study examined the impact of IPV on adult…
Descriptors: Family Violence, Attachment Behavior, Aggression, Adults
Nicholas D. Myers; Ahnalee M. Brincks; Seungmin Lee – Measurement in Physical Education and Exercise Science, 2024
Physical activity promotion is a best buy for public health because it has the potential to help individuals feel better, sleep better, and perform daily tasks more easily, in addition to providing disease prevention benefits. There is strong evidence that individual-level theory-based behavioral interventions are effective for increasing physical…
Descriptors: Physical Activity Level, Health Behavior, Health Promotion, Public Health
Adlof, Lauren; Kim, Minkyoung; Crawley, William – TechTrends: Linking Research and Practice to Improve Learning, 2023
Undergraduate student retention is considered a critical issue in higher education, due to its impact on student success, degree completion, and the financial health of universities (Cataldi et al., 2018; Cornelius & Cavanaugh, 2016; Hermes, "Community College Journal," 82(4), 26, 2012; Tinto, "NACADA Journal," 19(2), 5-9,…
Descriptors: Undergraduate Students, School Holding Power, Performance Technology, Academic Achievement
De Cat, Cécile; Unsworth, Sharon – Journal of Child Language, 2023
Paradis' keynote article provides a comprehensive overview of factors influencing bilingual children's dual language abilities. It includes the 'usual suspects', such as input quantity, and also highlights areas requiring further investigation, such as cognitive abilities. As such, it will no doubt serve as a valuable basis for the field as we…
Descriptors: Influences, Predictor Variables, Bilingualism, Causal Models
Fernandes, Filipe Arantes; Rodrigues, Claudia Susie Camargo; Teixeira, Eldanae Nogueira; Werner, Claudia M. L. – IEEE Transactions on Learning Technologies, 2023
Contribution: This secondary study examines the literature on immersive learning frameworks and reviews their state of the art. Frameworks have been categorized according to their purpose. In addition, the elements that compose them were also categorized. Some gaps were identified and proposed as a research roadmap. Background: Immersive…
Descriptors: Educational Technology, Technology Uses in Education, Computer Simulation, Definitions
Charlotte Z. Mann; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2025
Combining observational and experimental data for causal inference can improve treatment effect estimation. However, many observational data sets cannot be released due to data privacy considerations, so one researcher may not have access to both experimental and observational data. Nonetheless, a small amount of risk of disclosing sensitive…
Descriptors: Causal Models, Statistical Analysis, Privacy, Risk
Myoung-jae Lee; Goeun Lee; Jin-young Choi – Sociological Methods & Research, 2025
A linear model is often used to find the effect of a binary treatment D on a noncontinuous outcome Y with covariates X. Particularly, a binary Y gives the popular "linear probability model (LPM)," but the linear model is untenable if X contains a continuous regressor. This raises the question: what kind of treatment effect does the…
Descriptors: Probability, Least Squares Statistics, Regression (Statistics), Causal Models
Nicholas D. Myers; Ahnalee M. Brincks; Seungmin Lee – Measurement in Physical Education and Exercise Science, 2025
Physical activity (PA) promotion is an ideal intervention target for public health because it has the potential to help individuals feel better, sleep better, and perform daily tasks more easily, in addition to providing disease prevention benefits. There is strong evidence that individual-level theory-based behavioral interventions are effective…
Descriptors: Physical Activity Level, Intervention, Program Effectiveness, Adults
Çagatay Tunca; Ibrahim Hakan Güllü; Saadet Demirtas Inci; Kamuran Kalkan; Ruken Demirkol Tunca; Aysegül Efe; Ayse Nur Özkaya Ibis; Alperen Tas; Mehmet Taha Özkan; Veysel Ozan Tanik; Orçun Ortaköylü; Nail Burak Özbeyaz – Journal of Attention Disorders, 2025
Objective: ADHD is one of the most common neurodevelopmental disorders, seen in children and adolescents, and is often treated with various pharmacological agents, especially methylphenidate. There are differing opinions in the literature regarding the cardiovascular safety of long-term methylphenidate use. Studies suggest that the drug may…
Descriptors: Late Adolescents, Young Adults, Attention Deficit Hyperactivity Disorder, Heart Disorders
Afeez Jinadu; Eugenia Okwilagwe – International Journal of Research in Education and Science, 2025
The study investigated the structural equation modelling of nine variables consisting of research undertaking, digi-tech construct (digital nativity, category of adoption of digital technologies, digital literacy, digital citizenship, statistical software anxiety, self-efficacy and knowledge) and researcher statistical software skills in the…
Descriptors: Statistical Analysis, Computer Software, Structural Equation Models, Foreign Countries
Cheng, Patricia W.; Sandhofer, Catherine M.; Liljeholm, Mimi – Cognitive Science, 2022
The present paper examines a type of abstract domain-general knowledge required for the process of constructing useable domain-specific causal knowledge, the evident goal of causal learning. It tests the hypothesis that analytic knowledge of "causal-invariance decomposition functions" is essential for this process. Such knowledge…
Descriptors: Preschool Children, Learning Processes, Generalization, Heuristics
Adam N. Glynn; Miguel R. Rueda; Julian Schuessler – Sociological Methods & Research, 2024
Post-instrument covariates are often included as controls in instrumental variable (IV) analyses to address a violation of the exclusion restriction. However, we show that such analyses are subject to biases unless strong assumptions hold. Using linear constant-effects models, we present asymptotic bias formulas for three estimators (with and…
Descriptors: Causal Models, Statistical Inference, Error of Measurement, Least Squares Statistics
Joshua Weidlich; Ben Hicks; Hendrik Drachsler – Educational Technology Research and Development, 2024
Researchers tasked with understanding the effects of educational technology innovations face the challenge of providing evidence of causality. Given the complexities of studying learning in authentic contexts interwoven with technological affordances, conducting tightly-controlled randomized experiments is not always feasible nor desirable. Today,…
Descriptors: Educational Research, Educational Technology, Research Design, Structural Equation Models