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Lu, Binwei – British Journal of Educational Studies, 2023
This study compares the estimated grammar school effect in different regression models, and explains why previous evidence of the effectiveness of grammar school is mixed. Like most studies of school effectiveness evaluation, previous research on grammar school effect usually applies regression to control for confounding between-school factors and…
Descriptors: Value Added Models, School Effectiveness, Academic Achievement, Comparative Analysis
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Chen Zong; Alan Davis – Journal of College Student Retention: Research, Theory & Practice, 2024
This study aimed to replicate, revise, and validate the model of Institutional Performance in Graduation Rate developed by Fung based on Tinto and Astin theories. The sample included 706 public, 4-year, Title IV postsecondary institutions in the United States. Two CFA-SEM models were conducted with the IPEDS 2011-2017 data. The relationships among…
Descriptors: Models, College Students, School Holding Power, Academic Persistence
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Nazanin Nezami; Parian Haghighat; Denisa Gándara; Hadis Anahideh – Grantee Submission, 2024
The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…
Descriptors: Evaluation Methods, College Students, Success, Predictor Variables
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Lee, Walter C.; Hall, Janice L.; Josiam, Malini; Pee, Crystal M. – Journal of Engineering Education, 2023
Background: It is well known that earning a bachelor's degree in engineering is a demanding task, but ripe with opportunity. For students from historically excluded demographic groups, this task is exacerbated by oppressive circumstances. Although considerable research has documented how student outcomes differ across demographic groups, much less…
Descriptors: Engineering Education, Undergraduate Study, Models, Equal Education
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Li, Yuanmin; Chen, Dexin; Zhan, Zehui – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this study is to analyze from multiple perspectives, so as to form an effective massive open online course (MOOC) personalized recommendation method to help learners efficiently obtain MOOC resources. Design/methodology/approach: This study introduced ontology construction technology and a new semantic association algorithm…
Descriptors: MOOCs, Individualized Instruction, Models, Student Characteristics
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Majdi Beseiso – TechTrends: Linking Research and Practice to Improve Learning, 2025
Predicting students' success is crucial in educational settings to improve academic performance and prevent dropouts. This study aimed to improve student performance prediction by combining advanced machine learning (ML) approaches. Convolutional Neural Networks (CNNs) and attention mechanisms were used for extracting relevant features from…
Descriptors: Prediction, Success, Academic Achievement, Artificial Intelligence
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Cömert, Zeynep; Samur, Yavuz – Interactive Learning Environments, 2023
Almost in every aspect of life, classification and categorization make it easier for humans to analyze complex structures and systems. In games, the classification of the players based on their demographics, behaviors, expectations and preferences of the game is important to increase players' motivation and satisfaction. Likewise, knowing the…
Descriptors: Classification, Student Characteristics, Models, Student Motivation
Tachier Tish M. Rezac – ProQuest LLC, 2023
Intervention research often investigates the curriculum or methods used to support learners, while less attention is given to the model of those interventions. The purpose of this study was to evaluate the efficacy of two models of reading intervention, and to better understand how they are serving middle school students. Working from a critical…
Descriptors: Intervention, Models, Reading Instruction, Middle School Students
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Suyato; Yayuk Hidayah; Lutfia Septiningrum; Iqbal Arpannudin – Journal of Education and e-Learning Research, 2024
The study examines the application of the collaborative learning model to improve 21st-century civic skills. The 21st century presents a number of unique challenges in the world of education. Rapid changes in technology, economics, and politics have placed new demands on individual learning and development. One of the key aspects of preparing…
Descriptors: Cooperative Learning, Models, 21st Century Skills, Civics
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Zapata-Rivera, Diego – International Journal of Artificial Intelligence in Education, 2021
Research in the area of Open Student Models (OSMs) has shown that external representations of the student model can be used to facilitate educational processes such as student reflection, knowledge awareness, learning, collaboration, negotiation, and student model diagnosis. OSMs can be integrated into existing learning systems or become a…
Descriptors: Models, Student Characteristics, Access to Information, Educational Research
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Olcan Aslan; Irem Topuz; Jale Eldeleklioglu – Educational and Developmental Psychologist, 2025
Objective: The aim of this study is to investigate the mediating role of digital game addiction in the relationship between school belonging and psychological resilience of adolescents in middle school. Considering school belonging together with digital game addiction may help to better understand the risk and protective factors of psychological…
Descriptors: Addictive Behavior, Psychological Patterns, Correlation, Student School Relationship
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Ashraf, Erum; Manickam, Selvakumar; Karuppayah, Shankar; Malik, Sufiana Khatoon – Journal of Educators Online, 2023
As the drive to move from traditional face-to-face classroom learning to e-learning is ever in demand, the knowledge corpus exposed to students can be overwhelming because there is a need to automate certain functions of the e-learning framework. One of these functions is the course recommendation feature. Course recommendations help students save…
Descriptors: Electronic Learning, Cognitive Style, Student Behavior, Course Selection (Students)
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Amber Y. Wang; Robin F. Schumacher; Barbara J. Dougherty; Samantha Wavell; Joseph Dimino; Russell Gersten – Learning Disabilities Research & Practice, 2024
This pilot study examined the feasibility of using worked examples as a mechanism to improve verbal explanations of fractions concepts among Grade 5 students with mathematics difficulties in a small-scale randomized controlled trial (RCT) before scaling up to a large-scale RCT. Students (N = 49) were randomly assigned to a business-as-usual (BAU)…
Descriptors: Grade 5, Mathematics Instruction, Fractions, Mathematical Concepts
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Xiaoyan Zhong; Kun Qu; Deyuan Zhang – Cogent Education, 2024
In fostering creativity among teacher education students, attention to both internal and external factors is crucial. This study explores the impact of curriculum teaching on student creativity. Using a quantitative approach, 349 students from three Chongqing universities were surveyed. Results indicate that intrinsic motivation and teaching…
Descriptors: Influences, Teacher Education, Creativity, Foreign Countries
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Jorge López González; Jesús Manuel Martínez; Maven Lomboy; Luis Expósito – Cogent Education, 2024
This article examines the relationship between emotional intelligence and ethical leadership competencies among university students. The research hypothesis was that emotional intelligence correlates positively with the exercise of good leadership. To this aim, a study was carried out with 1101 university students from Chile, Mexico and Spain who…
Descriptors: Emotional Intelligence, Leadership Qualities, Competence, College Students
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