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Kelli A. Bird; Benjamin L. Castleman; Yifeng Song – Journal of Policy Analysis and Management, 2025
Predictive analytics are increasingly pervasive in higher education. However, algorithmic bias has the potential to reinforce racial inequities in postsecondary success. We provide a comprehensive and translational investigation of algorithmic bias in two separate prediction models--one predicting course completion, the second predicting degree…
Descriptors: Algorithms, Technology Uses in Education, Bias, Racism
Weijuan Li – European Journal of Education, 2025
In recent years, the integration of big data and learning analytics has emerged as a significant trend across educational systems worldwide. The implementation of such technologies within universities -- particularly in China -- holds considerable potential for transforming teaching and learning practices. By enabling personalised, data-driven…
Descriptors: Universities, Learning Analytics, Educational Practices, Foreign Countries
Andrea Chambers; Hollie Daniels; John Dooris; Arlyn Y. Moreno Luna; Sean Riordan – Association for Institutional Research, 2023
Using the National Center for Education Statistics (NCES) 2012/17 Beginning Postsecondary Students Longitudinal Study (BPS:12/17), this research study explores the persistence to bachelor's degree attainment of adult students. Specifically, this study looks at adult students who expected to earn a bachelor's degree or higher, and analyzes whether…
Descriptors: Bachelors Degrees, Educational Attainment, Learning Analytics, Longitudinal Studies
Foung, Dennis; Chen, Julia; Cheung, Kin – International Journal of Educational Technology in Higher Education, 2023
College transfer students are those who follow a different trajectory in their higher education journeys than traditional students, completing a sub-degree before pursuing a bachelor's degree at a university. While the possibility of transferring makes higher education accessible to these students, previous studies have found that they face…
Descriptors: College Transfer Students, Student Needs, Barriers, Academic Achievement
Hall, Mark M.; Worsham, Rachel E.; Reavis, Grey – Community College Review, 2021
Objective: This study examined the effects of offering proactive student-success coaching, informed by predictive analytics, on student academic performance and persistence. Specifically, this study investigated semester grade point average (GPA) and semester-to-semester persistence of community college students as outcomes. Methods: This study…
Descriptors: Academic Achievement, Academic Persistence, School Holding Power, Coaching (Performance)
Pelletier, Kathe; McCormack, Mark; Reeves, Jamie; Robert, Jenay; Arbino, Nichole – EDUCAUSE, 2022
Two years into the COVID-19 pandemic, much still feels the same, though in some important ways thinking and behaviors may be shifting in anticipation of longer-term changes in the ways lives are structured and how places and spaces are shared. In higher education, these shifts may reflect an evolution from short-term "emergency" or…
Descriptors: Higher Education, Educational Trends, COVID-19, Pandemics
Cookson, April; Kim, Daesang; Hartsell, Taralynn – International Journal of Information and Communication Technology Education, 2020
The purpose of this project was to increase student achievement, engagement, and satisfaction using animated instructional videos in an online general psychology course at a community college. This project not only considered the data collected from student activity tracking, but also examined students' perception of how the videos engaged and…
Descriptors: Academic Achievement, Learner Engagement, Student Satisfaction, Animation
Zilvinskis, John; Michalski, Greg V. – Association for Institutional Research, 2016
Text mining presents an efficient means to access the comprehensive amount of data found in written records by converting words into numbers and using algorithms to detect relevant patterns. This article presents the fundamentals of text mining, including an overview of key concepts, prevalent methodologies in this work, and popular software…
Descriptors: College Freshmen, Learner Engagement, College Seniors, National Surveys
Brown, Malcolm; McCormack, Mark; Reeves, Jamie; Brooks, D. Christopher; Grajek, Susan – EDUCAUSE, 2020
In assuming ownership of the Horizon Report, EDUCAUSE recognized the challenges of anticipating the future. The authors have, in this first major revision of the report's methodology, structure, and content, striven to break the mold of the classic Horizon Report without losing its essential purpose. The report begins with a scan of the current…
Descriptors: Higher Education, Educational Technology, Technology Integration, Technology Uses in Education
Pelletier, Kathe; Brown, Malcolm; Brooks, D. Christopher; McCormack, Mark; Reeves, Jamie; Arbino, Nichole – EDUCAUSE, 2021
This report profiles key trends and emerging technologies and practices shaping the future of teaching and learning and envisions a number of scenarios and implications for that future. It is based on the perspectives and expertise of a global panel of leaders from across the higher education landscape. Starting in 2020, COVID-19 pandemic has…
Descriptors: Higher Education, Educational Trends, Educational Technology, Technology Integration

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