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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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Raden Bambang Sumarsono; Ali Imron; Bambang Budi Wiyono; Imron Arifin; Athalla Nauval Bhayangkara; Mufti Nawang Prastiko – Open Education Studies, 2025
This article aims to describe the influence of parental involvement on the success of achieving the Pancasila Student Profile through school effectiveness. This research was conducted in elementary schools throughout East Java. The stages include the following: (1) testing validity and reliability; (2) testing the feasibility of the model which is…
Descriptors: Parent Participation, Student Characteristics, School Effectiveness, Elementary School Students
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Edward C. Fletcher Jr.; In Heok Lee; Tony Xing Tan; Gen Li – Innovative Higher Education, 2025
With the growing awareness of the value of earning postsecondary degrees to increase an individual's chances of attaining better workforce outcomes and a higher chance of gaining a quality life, school administrators have embraced a college and career readiness agenda. The adoption of career academies as a model for high schools across the nation…
Descriptors: College Admission, High School Graduates, Career Academies, Student Characteristics
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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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Anca Muresan; Mihaela Cardei; Ionut Cardei – International Educational Data Mining Society, 2025
Early identification of student success is crucial for enabling timely interventions, reducing dropout rates, and promoting on-time graduation. In educational settings, AI-powered systems have become essential for predicting student performance due to their advanced analytical capabilities. However, effectively leveraging diverse student data to…
Descriptors: Artificial Intelligence, At Risk Students, Learning Analytics, Technology Uses in 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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Aklilu Mandefro Messele – Discover Education, 2025
Science, Technology, Engineering, and Mathematics (STEM) education spans all levels, from preschool to postgraduate studies, fostering growth in social, cognitive, and psychomotor skills. In Ethiopia, the aim of STEM education is to cultivate engineers and scientists who can drive economic competitiveness on a global scale. Understanding and…
Descriptors: Foreign Countries, STEM Education, Artificial Intelligence, Technology Uses in Education
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Apaporn Puchpan; Krich Rajprasit – PASAA: Journal of Language Teaching and Learning in Thailand, 2025
As a global language, English plays a dominant role in various fields such as international business, politics, diplomacy, and education. Even so, the ideology of native-speakerism remains prevalent in some ELT communities, especially in expandingcircle countries where native-speakers are treated as role models. To respond to calls for change in…
Descriptors: English (Second Language), Global Approach, Foreign Countries, Student Attitudes
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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
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Trixie James – Student Success, 2025
Equity students entering higher education through Enabling programs often encounter significant challenges as they transition into the academic field. This transition involves navigating the hysteresis juncture, a moment of misalignment between students' ingrained habitus and the expectations of the academic environment. This study explores the…
Descriptors: Foreign Countries, Sense of Belonging, Higher Education, Universities
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Luis Medina-Gual; Luis Medina-Velázquez; José-Luis Parejo – Australasian Journal of Educational Technology, 2025
This study moves beyond theoretical frameworks to empirically analyse artificial intelligence (AI) literacy among undergraduate students, identifying distinct performance profiles to inform educational interventions. Using a validated, performance-based instrument, we assessed the functional, technical and socio-critical competencies of 353…
Descriptors: Artificial Intelligence, Technological Literacy, Higher Education, Undergraduate Students
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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