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Kamini Jaipal-Jamani; Hope Mayne; Sheliza Ibrahim – Sage Research Methods Cases, 2022
Implementing collaborative action research (CAR) is recognized as an effective strategy for transforming professional practice through evidence-based methods. How can CAR be carried out online, and how is data collected through digital methods? This case study will address these aspects in the context of a CAR, international professional…
Descriptors: Action Research, Cooperative Learning, Higher Education, Teacher Educators
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Dina Fitria Murad; Meta Amalya Dewi; Arbaiah Inn; Silvia Ayunda Murad; Noor Udin; Taufik Darwis – Journal of Educators Online, 2025
This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…
Descriptors: Electronic Learning, Data Collection, Context Effect, Learning Processes
National Association of Student Financial Aid Administrators, 2023
On February 2, 2023, the National Association of Student Financial Aid Administrators (NASFAA) distributed a survey to 3,367 primary contacts at NASFAA member institutions. This survey asked participants to rate their institution's level of preparedness for individual provisions of the Free Application for Federal Student Aid (FAFSA)…
Descriptors: Student Financial Aid, Student Financial Aid Officers, Higher Education, Federal Programs
Falkenstern, Colleen; Rochat, Angie – Western Interstate Commission for Higher Education, 2021
The effective use of data plays a critical role throughout the policy process -- from accurately capturing populations being served to monitoring and measuring implementation and allocation of resources. In order for data to be used in a manner that supports evidence-based decision-making there is a need for education leaders and policymakers to…
Descriptors: American Indian Students, Alaska Natives, Minority Group Students, Data Collection
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Friedman, Alon – Technology, Pedagogy and Education, 2018
Growing interest in Big Data is leading industries, academics and governments to accelerate Big Data research. However, how teachers should teach Big Data has not been fully examined. This article suggests criteria for redesigning Big Data syllabi in public and private degree-awarding higher education establishments. The author conducted a survey…
Descriptors: Data Collection, Data Analysis, Course Descriptions, Higher Education
Gagliardi, Jonathan S., Ed.; Parnell, Amelia, Ed.; Carpenter-Hubin, Julia, Ed. – Stylus Publishing LLC, 2018
In this era of "Big Data," institutions of higher education are challenged to make the most of the information they have to improve student learning outcomes, close equity gaps, keep costs down, and address the economic needs of the communities they serve at the local, regional, and national levels. This book helps readers understand and…
Descriptors: Educational Research, Data Collection, Data Analysis, Higher Education
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De Laet, Tinne; Millecamp, Martijn; Ortiz-Rojas, Margarita; Jimenez, Alberto; Maya, Ricardo; Verbert, Katrien – British Journal of Educational Technology, 2020
This paper presents a case study on the adoption and the impact of new modules in a learning analytics dashboard supporting the dialogue between student advisors and students when advising on a study plan for the next academic semester in Escuela Superior Politecnica del Litoral, a higher education institute in Ecuador. The impact and the adoption…
Descriptors: Learning Analytics, Faculty Advisers, Teacher Student Relationship, Higher Education
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Perez-Vergara, Kelly – Strategic Enrollment Management Quarterly, 2020
Institutional staff such as enrollment managers, business officers, and institutional researchers are often asked to predict enrollments. Developing any predictive model can be intimidating, particularly when there is no textbook to follow. This paper provides a practical framework for generating enrollment projection options and for evaluating…
Descriptors: Enrollment Projections, Enrollment Management, Enrollment Trends, Models
McKay, Heather; Haviland, Sara; Michael, Suzanne; Leibrandt, Sarah – Western Interstate Commission for Higher Education, 2020
Why do some innovations in policy or practice take off, while others fizzle out? Social scientists and policy experts have grappled with this question for decades, studying the diffusion of new ideas and examining how and why states, organizations, and institutions adopt innovations to their policies or practices. In recent years, states have…
Descriptors: Educational Innovation, Data Collection, Shared Resources and Services, Elementary Secondary Education
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Miller, Elise S.; Shedd, Jessica M. – New Directions for Institutional Research, 2019
The federal government has collected data from colleges and universities for more than a century. However, how and what data are collected has evolved over time, as has the purposes for collecting those data. The most systematic collection of data happens through the Integrated Postsecondary Education Data System (IPEDS), which is required to be…
Descriptors: Postsecondary Education, Databases, Data Collection, Educational History
Moore, Colleen; Bracco, Kathy Reeves; Nodine, Thad; Esch, Camille; Grubb, Brock – Education Insights Center, 2019
California does not have a statewide data system that tracks student progress through K-12 and higher education and into the workforce. As a result, educators and policymakers cannot answer critical questions about student progress, which limits their ability to make evidence-based changes to support better and more equitable opportunities for…
Descriptors: Progress Monitoring, Data Collection, Elementary Secondary Education, Higher Education
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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
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Kalogiannakis, Michail; Papadakis, Stamatios; Zourmpakis, Alkinoos-Ioannis – Education Sciences, 2021
The implementation of gamification in education has attracted many researchers to increase engagement and achieve learning more effectively. Implementing technology in science curricula has seen a massive influx over the past years to stop the decline in students' motivation towards science learning and promote scientific thinking. This study's…
Descriptors: Game Based Learning, Science Education, Literature Reviews, Student Motivation
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Hinds, Teri Lyn; Floyd, Nancy D.; Ueland, Jeffrey S. – New Directions for Institutional Research, 2021
In June 2019, Minnesota State set a critical goal: By 2030, eliminate the educational equity gaps at each of the 30 colleges and 7 universities that comprise the system. To achieve the goal of Equity 2030, and empower actors at every level of Minnesota State, system and campus leaders need to fully embrace data democratization. Without access to…
Descriptors: Equal Education, Higher Education, Educational Quality, State Policy
National Association of Student Financial Aid Administrators, 2024
As a follow-up to the National Association of Student Financial Aid Administrators (NASFAA) February 2023 Free Application for Federal Student Aid (FAFSA) Simplification Pre-Implementation Survey, NASFAA administered a post-implementation Survey in October 2024 to at least one contact at NASFAA membership institutions with 2,906 potential…
Descriptors: Student Financial Aid, Student Financial Aid Officers, Higher Education, Federal Programs
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