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Md Akib Zabed Khan; Agoritsa Polyzou – Journal of Educational Data Mining, 2024
In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…
Descriptors: Academic Advising, Courses, Data Use, Artificial Intelligence
Cody Gene Singer – ProQuest LLC, 2023
College and university enrollment has decreased nationwide every year for more than a decade as educational consumers increasingly question the value of higher education and discover alternatives to the traditional university system. Enrollment professionals seeking growth are tasked to develop and implement innovative solutions to address…
Descriptors: Data Collection, Predictor Variables, Electronic Learning, Enrollment
Fladd, Laurie; Heacock, Laurie; Hill-Kelley, Jennifer; Lawton, Julia; Pechac, Sharmaine; Shamah, Devora; Woodruff, Amber – Achieving the Dream, 2021
This guidebook is designed for institutional leaders and student success teams who are ready to talk openly about the students they serve and who are eager to learn practical strategies from national experts and peer institutions. We cannot design an experience that meets our students where they are unless we holistically understand who they are.…
Descriptors: Instructional Leadership, Instructional Design, Holistic Approach, Higher Education
Maldonado, Monica; Mugglestone, Konrad; Roberson, Amanda Janice – Institute for Higher Education Policy, 2021
Data-informed decision-making has always been -- and always will be -- a smart approach to policy, including at institutions of higher education. Just over one year since the COVID-19 pandemic radically and abruptly shifted every aspect of higher education, states and institutions are tackling the same student success goals as before, but with…
Descriptors: Data Analysis, Learning Analytics, Decision Making, Higher Education
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Deom, Gina; Fiorini, Stefano; McConahay, Mark; Shepard, Linda; Teague, Julie – College and University, 2021
The spread of COVID-19 has caused major disruptions in the higher education space, and colleges and universities faced difficult decisions on how to reopen their campuses. At Indiana University Bloomington, student exposure to other students was reduced by leveraging the existing academic calendar and strategically managing course enrollment…
Descriptors: Data Use, Decision Making, Network Analysis, COVID-19
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Lia Wetzstein; Jordan Reed; Katie Kovacich; Mayra Nuñez Martinez – Community College Research Initiatives, 2024
The need for STEM transfer students from low-income backgrounds to complete bachelor's degrees is a pressing issue. A substantial portion of those students start their educational journey at 2-year colleges. The lack of transfer and completion of these STEM students is deeply rooted in systemic and structural barriers, which leads to many students…
Descriptors: Partnerships in Education, STEM Education, Low Income Students, Transfer Rates (College)
Bornfreund, Laura; Ewen, Danielle – Phi Delta Kappan, 2021
Every year, children enter PreK and kindergarten with varied early education experiences, and the COVID-19 pandemic has heightened the problem. The need to respond to students' changing situations gives school districts and states an opportunity to reconsider how they are helping children and their families make the transition into kindergarten.…
Descriptors: School Readiness, Kindergarten, Transitional Programs, Alignment (Education)
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Gomes, Cristiano Mauro Assis; Almeida, Leandro S. – Practical Assessment, Research & Evaluation, 2017
Predictive studies have been widely undertaken in the field of education to provide strategic information about the extensive set of processes related to teaching and learning, as well as about what variables predict certain educational outcomes, such as academic achievement or dropout. As in any other area, there is a set of standard techniques…
Descriptors: Predictive Measurement, Statistical Analysis, Decision Making, Foreign Countries
Pearson, Denise; Armstrong, John – State Higher Education Executive Officers, 2016
Analysis of student-level data to inform policy and promote student success is a core function of executive higher education agencies. Postsecondary data systems have expanded their collection of data elements for use by policymakers, institutional staff, and the general public. State coordinating and governing boards use these data systems for…
Descriptors: Data, State Policy, Educational Policy, Data Collection
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Thompson, Jeremy; Young, J. Kenneth; Shelton, Kaye – School Leadership Review, 2021
Policymakers and professional educators attempt to be good stewards of public funds while simultaneously raising expectations for student outcomes that reflect academic excellence in the public school system. The purpose of this study was to determine the efficiency of Texas public school districts and the factors influencing the inefficiency of…
Descriptors: Efficiency, Public Schools, School Districts, Performance Factors
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Lansigan, Rolando R.; Moraga, Shirley D.; Batalla, Ma. Ymelda C.; Bringula, Rex P. – Education and Information Technologies, 2016
This descriptive study utilized a validated questionnaire that gathered data from freshmen of two different school years. Demographic profile, marketers (i.e., source of information of students about the school), influencers (i.e., significant others that persuaded them to enroll in the school), level of school choice, and level of consideration…
Descriptors: Foreign Countries, College Choice, Social Media, College Freshmen
Armstrong, John – State Higher Education Executive Officers, 2016
Analysis of student-level data to inform policy and promote student success is a core function of executive higher education agencies. Postsecondary data systems have expanded their collection of data elements for use by policymakers, institutional staff, and the general public. The State Higher Education Executive Officers association (SHEEO), as…
Descriptors: Data Collection, Decision Making, Higher Education, Information Utilization
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Nichols, Timothy; Ailts, Jacob; Chang, Kuo-Liang – Honors in Practice, 2016
This study gathered, analyzed, and compared perspectives of students who were honors-eligible but never began the program, students who began in honors and discontinued their enrollment, and those who were persisting in honors. Broadly speaking (and not surprisingly), the responses of students persisting in honors reflected the most positive…
Descriptors: Higher Education, College Students, School Holding Power, Honors Curriculum
Baldwin, Chris; Borcoman, Gabriela; Chappell-Long, Cheryl; Coperthwaite, Corby A.; Glenn, Darrell; Hutchinson, Tony; Hughes, John; Jenkins, Rick; Jovanovich, Donna; Keller, Jonathan; Klimczak, Benjamin; Schneider, Bill; Stewart, Carmen; Stuart, Debra; Yeager, Michael – Jobs for the Future, 2012
Enrollment is rising across the nation's community colleges, but completion rates remain untenably low. Reformers are focusing on the importance of using comprehensive, high-quality data on student progress and completion to bring about change. A core tenet of Achieving the Dream: Community Colleges Count has been to embed a culture of…
Descriptors: Community Colleges, Enrollment, Educational Attainment, Educational Policy
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Lane, Kathleen Lynne; Oakes, Wendy Peia; Swogger, Emily D.; Schatschneider, Christopher; Menzies, Holly Mariah; Sanchez, Jeremy – Behavioral Disorders, 2015
We report findings of a convergent validity study examining the internalizing subscale (SRSS-I5) of the newly adapted Student Risk Screening Scale for Internalizing and Externalizing (SRSS-IE12) with the internalizing subscale of the Teacher Report Form (TRF; Achenbach, 1991) conducted in 13 schools across three states with 195 kindergarten…
Descriptors: Screening Tests, Behavior Problems, Cutting Scores, Decision Making
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