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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
Frank Stinar; Zihan Xiong; Nigel Bosch – Journal of Educational Data Mining, 2024
Educational data mining has allowed for large improvements in educational outcomes and understanding of educational processes. However, there remains a constant tension between educational data mining advances and protecting student privacy while using educational datasets. Publicly available datasets have facilitated numerous research projects…
Descriptors: Foreign Countries, College Students, Secondary School Students, Data Collection
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
Bowers, Pam; Chen, Helen L.; O'Donnell, Ken; Parnell, Amelia – Change: The Magazine of Higher Learning, 2022
Traditional student information systems were designed primarily to collect and manage records of course enrollment and credit hours earned, as well as other data elements needed to monitor each student's progress to graduation. Now, institutions want to monitor and improve the quality and equity of students' learning experiences in courses and the…
Descriptors: Educational Practices, Data Collection, Data Use, School Policy
Deho, Oscar Blessed; Joksimovic, Srecko; Li, Jiuyong; Zhan, Chen; Liu, Jixue; Liu, Lin – IEEE Transactions on Learning Technologies, 2023
Many educational institutions are using predictive models to leverage actionable insights using student data and drive student success. A common task has been predicting students at risk of dropping out for the necessary interventions to be made. However, issues of discrimination by these predictive models based on protected attributes of students…
Descriptors: Learning Analytics, Models, Student Records, Prediction
Blackmon, Stephanie J. – Change: The Magazine of Higher Learning, 2023
Student privacy is a critical area of higher education that deserves greater focus, particularly as student data digitalization increases. Many colleges and universities use data literacy as a way to prepare students, sometimes from different disciplines, to work with others' data postgraduation. Data literacy can be an avenue for helping all…
Descriptors: Privacy, Data Collection, Data Use, Higher Education
Carrie Klein; Jessica Colorado – State Higher Education Executive Officers, 2024
Since 2010, the State Higher Education Executive Officers Association's (SHEEO) Strong Foundations survey has reported on the evolution and value of postsecondary student unit record systems (PSURSs) by illuminating the condition of state postsecondary data in the U.S. In the "Strong Foundations 2023" survey, which was administered from…
Descriptors: College Students, Student Records, Data Collection, Databases
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
Glover, Caroline Dean; Taylor, Alexander; Parks, Rodney; Lin, Amber; Castillo, Bailee – College and University, 2021
This study seeks to share student feedback about the design and creation of comprehensive learner records. Student input is not often solicited as institutions develop new credentials issued to students. Our workshops encouraged students to consider how they would develop new credentials and what artifacts and features they would include on these…
Descriptors: Student Records, Student Attitudes, Credentials, College Students
Ruizhi Liao; Zhizhen Chen; Ao Zhang – IEEE Transactions on Education, 2025
Contribution: This study examines the impact of student data and behaviors on student evaluations of teaching. It leverages campus data and employs statistical methods to explore the relationships among these indicators. A regression model is developed that integrates teaching evaluation, expected grades, and course participation, aiming to…
Descriptors: College Students, College Faculty, Student Evaluation of Teacher Performance, Teacher Influence
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
Parks, Rodney; Hayes, Casey; Heggie, Mary; Taylor, Alexander – College and University, 2020
Engaging students and developing interest can be challenging--and not always successful on the first couple of tries. With the help of Elon University's Information Technology team, the Office of the Registrar created a technology solution to give faculty more data about the students registered for their classes in the upcoming term. Using…
Descriptors: Computer Uses in Education, Profiles, College Students, Learner Engagement
Prinsloo, Paul; Slade, Sharon – New Directions for Institutional Research, 2019
As institutions of higher education increasingly look to data as evidence to support planning, allocate resources, and inform teaching and pedagogy, ethical considerations regarding learning analytics have evolved from being on the margins to more central in the conversations surrounding institutional uses of student data. After outlining this…
Descriptors: Higher Education, College Students, Student Records, Data
Sun, Jeffrey C. – British Journal of Educational Technology, 2023
Technology integration and learning analytics offer insights to improve educational experiences and outcomes. In advancing these efforts, laws and policies govern these environments placing protections, standards, and developmental opportunities for higher education, students, faculty, and even the nation-state. Nonetheless, evidence of…
Descriptors: Technology Integration, Privacy, Student Rights, Laws
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