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Timothy A. Drake – Leadership and Policy in Schools, 2024
In this review, I examined the last two decades of research on data use in education to outline the ways in which principals used data to inform their own leadership practices. I found three themes: first, student achievement data were the most widespread form of data that principals used; second, principals' work has been reshaped by teacher…
Descriptors: Principals, Data Use, Academic Achievement, Teacher Evaluation
Camille M. Farrell – Online Journal of Distance Learning Administration, 2024
University of Central Oklahoma's (UCO) Student Transformative Learning Record (STLR) leverages the Learning Management System (LMS), rubrics, an online dashboard, transcript services, and badging to assess students' employability and durable soft-skills. Featured by the Chronicle for Higher Ed, this Comprehensive Learner Record model has helped…
Descriptors: Transformative Learning, Employment Potential, Soft Skills, Student Evaluation
Shabnam Ara S. J.; Tanuja Ramachandriah; Manjula S. Haladappa – Online Learning, 2025
Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…
Descriptors: Learning Analytics, Privacy, Artificial Intelligence, Regression (Statistics)
Leon Felipe Guzman Lizardo – ProQuest LLC, 2024
This thesis collects three essays on applied microeconomics. The first essay proposes an econometric framework to study the role played by course-assignment mechanisms in shaping the learning outcomes observed in higher-education institutions. Particular emphasis is placed on the existence of student-professor match effects in the production of…
Descriptors: College Students, College Faculty, Teacher Student Relationship, Macroeconomics
Tafesse, Wondwesen – International Journal of Educational Technology in Higher Education, 2022
With the widespread adoption of social networking sites among college students, discerning the relationship between social networking sites use and college students' academic performance has become a major research endeavor. However, much of the available research in this area rely on student self-reports and findings are notably inconsistent.…
Descriptors: Social Networks, College Students, Computer Software, Academic Achievement
Yihua Hong; Jeffrey A. Rosen; Stacey A. Rutledge; Marisa Cannata; Susan Rotermund – American Educational Research Journal, 2025
Personalization for academic and social-emotional learning (PASL) is a systemic approach to high school reform that works to strengthen and bridge preexisting academic and social-emotional systems within schools and classrooms. Analyzing student administrative records from 12 schools in a large Florida urban district, we found that, on average,…
Descriptors: High School Students, Social Emotional Learning, Grade 9, Outcomes of Education
Aom Perkash; Qaisar Shaheen; Robina Saleem; Furqan Rustam; Monica Gracia Villar; Eduardo Silva Alvarado; Isabel de la Torre Diez; Imran Ashraf – Education and Information Technologies, 2024
Developing tools to support students, educators, intuitions, and government in the educational environment has become an important task to improve the quality of education and learning outcomes. Information and communication technology (ICT) is adopted by educational institutions; one such instance is video interaction in flipped teaching.…
Descriptors: Academic Achievement, Colleges, Artificial Intelligence, Predictor Variables
Thomas Andrew Auten – ProQuest LLC, 2023
The research inquiry asked the question, what methods do athletic coaches employ to improve academic performance and skills of their high school student athletes? The research method chosen for this investigation, influenced by the teachings of Dewey and Freire, is constructivist grounded theory. This research method used intensive interviews with…
Descriptors: High School Students, Student Athletes, Coaching (Performance), Team Sports
Bowers, Alex J.; Zhao, Yihan; Ho, Eric – High School Journal, 2022
Research on data use and school Early Warning Systems (EWS) notes a central practice of researchers and practitioners is to search for patterns in student data to predict outcomes so schools can support success when students experience challenges. Yet, the domain lacks a means to visualize the rich longitudinal data that schools collect. Here, we…
Descriptors: Learning Analytics, Visual Aids, Student Records, Longitudinal Studies
Bullock, Casey – Strategic Enrollment Management Quarterly, 2022
The transfer function is comprised of the characteristics of the system that supports student transfer among higher education institutions. Student transfer is complex; although students meet competencies and learning outcomes--measured as courses, credits, and grades represented on a transcript--it is difficult to translate the learning…
Descriptors: Strategic Planning, Enrollment Management, Academic Achievement, College Transfer Students
Sahar Voghoei – ProQuest LLC, 2021
The importance of retention rate for higher education institutions has encouraged data analysts to present various methods to predict at-risk students. Their objective is to provide timely information that may enable educators to channel the most effective remedial treatments towards precisely targeted students in an efficient manner. The present…
Descriptors: Data Science, Academic Achievement, School Holding Power, Predictor Variables
Zohal Shah; Marilys Galindo; Chioma Aso-Hernandez; Christina Luke Luna; Keun-woo Lee; Josh Weisgrau; Teresa Solorzano; Britney Jacobs – Digital Promise, 2024
Historical credentialing and credit documentation processes, such as transcripts and degrees, only capture skills acquired through traditional in-school experiences. This infrastructure impedes access to education and workforce opportunities for historically and systematically excluded communities by inadequately representing skills gathered…
Descriptors: Microcredentials, Academic Records, Student Records, Elementary Secondary Education
Sunny X. Niu; Weiping Wang; Grace Y. Zheng; Yu Xiao – Asia Pacific Education Review, 2025
Scholars explain low levels of social engagement of disadvantaged students as self-isolation because they are endowed with lower levels of cultural and social capital. It renders a hopeless class reproduction conclusion, and it also reflects an implicit assumption that students engage academically and socially in parallel. To contribute both…
Descriptors: Foreign Countries, Rural Schools, Learner Engagement, Urban Schools
Chinsook, Kittipong; Khajonmote, Withamon; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jantakoon, Thada – Higher Education Studies, 2022
Big data is an important part of innovation that has recently attracted a lot of interest from academics and practitioners alike. Given the importance of the education industry, there is a growing trend to investigate the role of big data in this field. Much research has been undertaken to date in order to better understand the use of big data in…
Descriptors: Student Behavior, Learning Analytics, Computer Software, Rating Scales
Schwitzer, Alan M.; St. John, Dan; Moss, Catherine; Burnett, Dana; Foss, Jennifer; Thompson, Lenora – Journal of College Student Psychotherapy, 2021
This brief study reports on health center visits for psychotropic medication prescriptions and academic success. We analyzed records for students with mental health needs from 2000 to 2008. Building on previous research, we found two significant variables predicting post-treatment 6-year graduation among health center mental-health clients:…
Descriptors: Drug Therapy, Academic Achievement, Role, Mental Health