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Khalid Alalawi; Rukshan Athauda; Raymond Chiong; Ian Renner – Education and Information Technologies, 2025
Learning analytics intervention (LAI) studies aim to identify at-risk students early during an academic term using predictive models and facilitate educators to provide effective interventions to improve educational outcomes. A major impediment to the uptake of LAI is the lack of access to LAI infrastructure by educators to pilot LAI, which…
Descriptors: Intervention, Learning Analytics, Guidelines, Prediction
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Thomas Harvey; Donna Fong; Daryl Ann Borel; Johnny O’Connor – International Journal of Educational Leadership Preparation, 2025
This study explored the perceptions of principal candidates and their field supervisors regarding the impact of coherently sequenced practicum tasks on candidates' instructional leadership skills. The findings revealed that the quality of practicum experiences and the development of professional relationships between candidates and supervisors are…
Descriptors: Principals, Administrator Attitudes, Administrator Education, Supervisor Supervisee Relationship
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Fahd, Kiran; Venkatraman, Sitalakshmi; Miah, Shah J.; Ahmed, Khandakar – Education and Information Technologies, 2022
Recently, machine learning (ML) has evolved and finds its application in higher education (HE) for various data analysis. Studies have shown that such an emerging field in educational technology provides meaningful insights into several dimensions of educational quality. An in-depth analysis of the application of ML could have a positive impact on…
Descriptors: Artificial Intelligence, Electronic Learning, Higher Education, Academic Achievement
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Rodríguez, Patricio; Villanueva, Alexis; Dombrovskaia, Lioubov; Valenzuela, Juan Pablo – Education and Information Technologies, 2023
School dropout is a structural problem which permanently penalizes students and society in areas such as low qualification jobs, higher poverty levels and lower life expectancy, lower pensions, and higher economic burden for governments. Given these high consequences and the surge of the problem due to COVID-19 pandemic, in this paper we propose a…
Descriptors: Foreign Countries, Schools, Dropout Prevention, Methods
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Hlioui, Fedia; Aloui, Nadia; Gargouri, Faiez – International Journal of Web-Based Learning and Teaching Technologies, 2021
Nowadays, the virtual learning environment has become an ideal tool for professional self-development and bringing courses for various learner audiences across the world. There is currently an increasing interest in researching the topic of learner dropout and low completion in distance learning, with one of the main concerns being elevated rates…
Descriptors: At Risk Students, Withdrawal (Education), Dropouts, Distance Education
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Paige, David D.; Smith, Grant S.; Rasinski, Timothy Victor; Rupley, William H.; Magpuri-Lavell, Theresa; Nichols, William D. – Journal of Educational Research, 2019
Considerable evidence supports that close to two thirds of all fourth-grade students read at less than adequate levels on reading achievement tests and that the problem has persisted for decades. This study of 1,064 third-grade students at risk for reading failure uses path analytic techniques to measure a hypothesized model linking developmental…
Descriptors: Grade 3, Reading Achievement, Reading Instruction, School Districts
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Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2021
For the forty-fourth time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online and onsite during the annual AECT Convention. Volume 1 contains papers dealing primarily with research and development topics. Papers dealing with…
Descriptors: Educational Technology, Technology Uses in Education, Feedback (Response), Course Evaluation
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Lagus, Jarkko; Longi, Krista; Klami, Arto; Hellas, Arto – ACM Transactions on Computing Education, 2018
The computing education research literature contains a wide variety of methods that can be used to identify students who are either at risk of failing their studies or who could benefit from additional challenges. Many of these are based on machine-learning models that learn to make predictions based on previously observed data. However, in…
Descriptors: Computer Science Education, Transfer of Training, Programming, Educational Objectives
Fazlul, Ishtiaque; Koedel, Cory; Parsons, Eric – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2022
Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…
Descriptors: Academic Achievement, At Risk Students, Prediction, Disadvantaged
Jimenez, Laura – Center for American Progress, 2020
Schools face enormous challenges regarding how to operate efficiently and safely for the 2020-21 school year. As part of that response, some state leaders are asking the U.S. Department of Education to waive the annual federal testing and accountability requirements for 2021, which are key to understanding and addressing gaps in education among…
Descriptors: COVID-19, Pandemics, Disease Control, Well Being
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McBath, Gabrielle L. – Journal on School Educational Technology, 2018
The purpose of this Mixed Methods study is to conduct a full quantitative and qualitative research methods on a hypothetical K-12 Alternative Education program, wherein ten students have had poor grades and are at-risk of withdrawing. Within a six-part action plan on the quantitative side, students were tested twice, before and after a two-paired…
Descriptors: Mixed Methods Research, Elementary Secondary Education, Nontraditional Education, Instructional Design
Morrison, Jennifer R.; Wolf, Betsy; Ross, Steven M.; Risman, K. L.; McLemore, Caitlin C. – Center for Research and Reform in Education, 2019
The purpose of the present study was to gather summative and formative data related to the implementation of Zearn Math during the first year of a two-year study. The sample included students in a large urban school district comprised of predominantly African American (58%) and Hispanic (28%) students. Roughly 90% of students are economically…
Descriptors: Urban Schools, Mathematics Instruction, Teaching Methods, Educational Technology
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Engelbrecht, Johann; Harding, Ansie – International Journal of Mathematical Education in Science and Technology, 2015
In keeping with the national mandate of increasing graduates in the sciences in South Africa, a concerted effort in improving the first year experience becomes imperative. First year mathematics courses commonly provide the base knowledge necessary for progression in different degree programmes at university. Success in mathematics courses…
Descriptors: Foreign Countries, Mathematics Instruction, College Mathematics, College Freshmen
George W. Bush Institute, Education Reform Initiative, 2017
The George W. Bush Institute began the Middle School Matters (MSM) initiative in 2010 with the goal of increasing the number of students who are prepared for high school and postsecondary success. The initiative accomplishes this by drawing upon evidence-based research to develop practical tools and engaging support opportunities for middle grade…
Descriptors: Middle Schools, Middle School Students, Readiness, College Readiness
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Schatschneider, Christopher; Wagner, Richard K.; Hart, Sara A.; Tighe, Elizabeth L. – Scientific Studies of Reading, 2016
The present study employed data simulation techniques to investigate the 1-year stability of alternative classification schemes for identifying children with reading disabilities. Classification schemes investigated include low performance, unexpected low performance, dual-discrepancy, and a rudimentary form of constellation model of reading…
Descriptors: Reading Difficulties, Learning Disabilities, At Risk Students, Disability Identification
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