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Ullah, Mohammad Aman; Tahrin, Anika; Marjan, Sumaiya – International Journal of Web-Based Learning and Teaching Technologies, 2020
The web is the largest world-wide communication system of computers. The web has local, academic, commercial and government sites. As the types of websites increases in numbers, the cost and accuracy of manual classification became cumbersome and cannot satisfy the increasing internet service demands, thereby automated classification became…
Descriptors: Web Sites, Classification, Mathematics, Automation
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Cooper, Chris; Garside, Ruth; Varley-Campbell, Joanna; Talens-Bou, Juan; Booth, Andrew; Britten, Nicky – Research Synthesis Methods, 2020
This study aimed to address the question: what does "effectiveness" mean to researchers in the context of literature searching for systematic reviews? We conducted a thematic analysis of responses to an e-mail survey. Eighty-nine study authors, whose studies met inclusion in a recent review (2018), were contacted via e-mail and asked…
Descriptors: Literature Reviews, Researchers, Classification, Definitions
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Harris, Michael S. – Innovative Higher Education, 2020
Researchers consider a high level of institutional diversity in a higher education system as a strength. While the literature considers key elements of diversity, existing research fails to employ methodological approaches that balance the need for capturing the breadth and depth of similarities and differences across institutions. This article…
Descriptors: Colleges, Universities, Diversity (Institutional), Classification
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Tillson, John – Journal of Philosophy of Education, 2020
In this paper, I offer Brighouse et al some friendly suggestions for expanding the notion of 'educational goods', pose some challenges for their book's decision-making framework and offer an opportunity for them to fill some small, but interesting lacunas. I start by comparing their typology of desirable educational outcomes with alternative…
Descriptors: Decision Making, Models, Classification, Epistemology
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Leher Singh; Mihaela D. Barokova; Heidi A. Baumgartner; Diana C. Lopera-Perez; Paul Okyere Omane; Mark Sheskin; Francis L. Yuen; Yang Wu; Katherine J. Alcock; Elena C. Altmann; Marina Bazhydai; Alexandra Carstensen; Kin Chung Jacky Chan; Hu Chuan-Peng; Rodrigo Dal Ben; Laura Franchin; Jessica E. Kosie; Casey Lew-Williams; Asana Okocha; Tilman Reinelt; Tobias Schuwerk; Melanie Soderstrom; Angeline S. M. Tsui; Michael C. Frank – Developmental Psychology, 2024
Culture is a key determinant of children's development both in its own right and as a measure of generalizability of developmental phenomena. Studying the role of culture in development requires information about participants' demographic backgrounds. However, both reporting and treatment of demographic data are limited and inconsistent in child…
Descriptors: Data Collection, Young Children, Demography, Cultural Traits
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Paul Horton; Camilla Forsberg; Robert Thornberg – Scandinavian Journal of Educational Research, 2024
While the efforts of teachers are crucial for preventing and stopping degrading treatment, harassment, and bullying in schools, research has found that teachers' understandings of such terms may vary significantly. In this qualitative study, we take a social-ecological perspective to investigate Swedish schoolteachers' understandings of the terms…
Descriptors: Foreign Countries, Bullying, Sexual Harassment, Antisocial Behavior
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Yoonjae Noh; YoonIl Yoon; Sangjin Kim – Measurement: Interdisciplinary Research and Perspectives, 2024
The default risk, one of the main risk factors for bonds, should be measured and reflected in the bond yield. Particularly, in the case of financial companies that treat bonds as a major product, failure to properly identify and filter customers' workout status adversely affects returns. This study proposes a two-stage classification algorithm for…
Descriptors: Prediction, Classification, Accuracy, Risk
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Daniel Borbely; Markus Gehrsitz; Stuart McIntyre; Gennaro Rossi; Graeme Roy – British Educational Research Journal, 2024
Rurality is known to be associated with a number of weaker educational outcomes, from lower attainment through to lower social mobility. This is why so much policy and practitioner focus has been directed at addressing the rurality gap in educational outcomes. In this paper, we use pupil-level data for Scotland to contribute to two dimensions of…
Descriptors: Rural Areas, Disadvantaged, Elementary School Students, Classification
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Michael T. Miller – International Journal of Educational Leadership and Management, 2024
Much is unknown about those who do not finish high school and there is a need to understand who enters and completes alternative high school completion programs, such as the HiSet (High School Equivalency Test), GED (General Education Development Test), or growing number of state sponsored high school equivalency programs. The purpose for…
Descriptors: High School Equivalency Programs, Equivalency Tests, Student Recruitment, Administrator Attitudes
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Huey T. Chen; Liliana Morosanu; Victor H. Chen – Asia Pacific Journal of Education, 2024
The Campbellian validity typology has been used as a foundation for outcome evaluation and for developing evidence-based interventions for decades. As such, randomized control trials were preferred for outcome evaluation. However, some evaluators disagree with the validity typology's argument that randomized controlled trials as the best design…
Descriptors: Evaluation Methods, Systems Approach, Intervention, Evidence Based Practice
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Cem Recai Çirak; Hakan Akilli; Yeliz Ekinci – Higher Education Quarterly, 2024
In this study, an early warning system predicting first-year undergraduate student academic performance is developed for higher education institutions. The significant factors that affect first-year student success are derived and discussed such that they can be used for policy developments by related bodies. The dataset used in experimental…
Descriptors: Program Development, At Risk Students, Identification, College Freshmen
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Nesrine Mansouri; Mourad Abed; Makram Soui – Education and Information Technologies, 2024
Selecting undergraduate majors or specializations is a crucial decision for students since it considerably impacts their educational and career paths. Moreover, their decisions should match their academic background, interests, and goals to pursue their passions and discover various career paths with motivation. However, such a decision remains…
Descriptors: Undergraduate Students, Decision Making, Majors (Students), Specialization
Charles Stephen Clark Jr. – ProQuest LLC, 2024
Early literacy proficiency is a crucial predictor of later reading success, but research in this area often overlooks the unique challenges faced by English Learners (EL). This study addressed a significant gap in the literature by investigating the relationships between Dynamic Indicators of Basic Early Literacy Skills (DIBELS) scores, English…
Descriptors: Emergent Literacy, Elementary School Students, Kindergarten, Grade 1
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Thomas K. F. Chiu – Educational Technology Research and Development, 2024
Generative AI such as ChatGPT provides an instant and individualized learning environment, and may have the potential to motivate student self-regulated learning (SRL), more effectively than other non-AI technologies. However, the impact of ChatGPT on student motivation, SRL, and needs satisfaction is unclear. Motivation and the SRL process can be…
Descriptors: Artificial Intelligence, Independent Study, Self Management, Self Determination
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Jehanzeb Rashid Cheema – Journal of Education in Muslim Societies, 2024
This study explores the relationship between the Spiral Dynamics and the 3H (head, heart, hands) models of human growth and development, using constructs such as empathy, moral reasoning, forgiveness, and community mindedness that have been shown to have implications for education. The specific research question is, "Can a combination of…
Descriptors: Correlation, Factor Analysis, Computer Software, Moral Values
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