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Li, Kam-Cheong; Wong, Billy Tak-Ming – Interactive Technology and Smart Education, 2020
Purpose: This paper aims to present a review of case studies on the use of learning analytics in Science, Technology, Engineering, (Arts), and Mathematics (or STE[A]M) education. It covers the features and trends of learning analytics practices as revealed in case studies. Design/methodology/approach: A total of 34 case studies published from 2013…
Descriptors: Learning Analytics, Art Education, STEM Education, Adoption (Ideas)
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Fawcett, Darcy – set: Research Information for Teachers, 2019
This Assessment News article introduces readers to a statistical approach to making sense of student assessment data in order to help teachers understand whether or not changes in practice have made a difference to learning. It Worked! is the brainchild of Darcy Fawcett, HoD Science at Gisborne Boys' High School, and Across-School Teacher for the…
Descriptors: Data Analysis, Data Use, Evidence Based Practice, Communities of Practice
National Forum on Education Statistics, 2021
The "Forum Guide to Metadata" presents and examines the ways in which metadata can be used by education agencies to improve data quality and promote a better understanding of education data. Supported by metadata-related case studies from state and local education agencies, the guide highlights the uses of metadata from a technical point…
Descriptors: Metadata, Information Management, Data Collection, Data Use
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Petrescu, Claudia; Ellena, Adriano Mauro; Fernandes-Jesus, Maria; Marta, Elena – Youth & Society, 2022
Using the policy narrative framework, this article examines the pathways through which the development of policies (related to rural/small towns young NEETs in various EU countries) are based on evidence. To do this, we consider the Youth Guarantee (YG), an EU program (2014-2020) developed in several member countries with the aim of…
Descriptors: Out of School Youth, Unemployment, Public Policy, Foreign Countries
Hunt Institute, 2022
From Fall 2019 through Spring 2020, The Hunt Institute released a series of policy briefs, "Attainment for All: Postsecondary Pathways," that highlighted scalable state-level strategies to boost postsecondary attainment rates among specific student subpopulations including high school graduates, first-generation students, and adult…
Descriptors: Educational Attainment, Postsecondary Education, Equal Education, Access to Education
Perez, Zeke, Jr.; von Zastrow, Claus – Education Commission of the States, 2023
Data governance is a core obligation for leaders and staff across any agency that collects, stores or uses individuals' data. It ensures that individuals' personal information is protected, and can support the continuous improvement of data quality and use, particularly when it includes well-defined processes, structure and responsibilities.…
Descriptors: Governance, Data Use, Privacy, Information Management
Isaac, James; Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2023
Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…
Descriptors: College Students, Data, Information Networks, Program Design
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Masango, Mxolisi; Muloiwa, Takalani; Wagner, Fezile; Pinheiro, Gabriela – Journal of Student Affairs in Africa, 2020
Knowing relevant information about students entering the higher education (HE) system is becoming increasingly important, thus enabling higher education institutions (HEIs) to design effective studentcentred support programmes. Therefore, HEIs should ascertain all relevant information about their students before the commencement of the academic…
Descriptors: Test Construction, Test Use, Biographical Inventories, Questionnaires
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Foster, Carly; Francis, Peter – Assessment & Evaluation in Higher Education, 2020
This is a systematic review conducted of primary research literature published between 2007 and 2018 on the deployment and effectiveness of data analytics in higher education to improve student outcomes. We took a methodological approach to searching databases; appraising and synthesising results against predefined criteria. We reviewed research…
Descriptors: Literature Reviews, Program Implementation, Program Effectiveness, Learning Analytics
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Harris, Emily M.; Dixon, Colin G. H.; Bird, Erin Bridges; Ballard, Heidi L. – Journal of the Learning Sciences, 2020
In youth-focused community and citizen (YCCS) youth in classrooms and community-based programs produce data that scientists, resource managers and community members will use. This "nested" data situates learners' scientific activity within larger datasets, projects, and communities, with consequences for youth agency. To document…
Descriptors: Data Collection, Citizen Participation, Scientific Research, Science Education
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Brown, Michael – Teaching in Higher Education, 2020
Despite their increasingly widespread adoption in post-secondary education, scholars and practitioners know very little about the impact of digital data displays on instructors' sense-making and academic planning. In this manuscript, I report the results of comparative case studies of five different introductory physics instructors at three…
Descriptors: College Faculty, Learning Analytics, Introductory Courses, Physics
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Connors, Elizabeth H.; Smith-Millman, Mills; Bohnenkamp, Jill H.; Carter, Taneisha; Lever, Nancy; Hoover, Sharon A. – School Mental Health, 2020
Learning collaboratives (LCs) have often been used to improve somatic health care quality in hospitals and other medical settings, and to some extent to improve social services and behavioral health care. This initiative is the first demonstration of a national, systematic LC to advance comprehensive school mental health system quality among…
Descriptors: School Districts, Access to Health Care, Mental Health, School Health Services
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Broughan, Christine; Prinsloo, Paul – Assessment & Evaluation in Higher Education, 2020
Student data, whether in the form of engagement data, assignments or examinations, form the foundation for assessment and evaluation in higher education. As higher education institutions progressively move to blended and online environments, we have access to, not only more data than before, but also a greater variety of demographic and…
Descriptors: Learning Analytics, Student Centered Learning, Student Empowerment, Data Collection
Cruse, Lindsey Reichlin; Holtzman, Tessa – Institute for Women's Policy Research, 2020
Head Start provides access to high-quality, affordable early learning opportunities for children alongside wraparound supports for parents which can help families achieve economic security by helping to facilitate parents' attainment of college credentials. Head Start-college collaboration can also bring important benefits to colleges and…
Descriptors: Partnerships in Education, Preschool Education, Disadvantaged Youth, College School Cooperation
O'Donoghue, Rebekah; Ratledge, Alyssa – MDRC, 2020
MDRC has studied a number of proven strategies for helping students stay in college and succeed there, the most effective of which combine advisers or coaches who actively reach out to students, decision-making informed by data, and extra financial support. Lessons from some of these models may be readily adapted to support students and close…
Descriptors: College Students, Distance Education, Teacher Student Relationship, Student School Relationship
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