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Gamse, Beth C.; Spielberger, Julie; Axelrod, Jennifer; Spain, Angeline – Chapin Hall at the University of Chicago, 2019
Afterschool programs can offer enriching opportunities, homework help and a safe environment. To ensure that these programs are cohesive, high-quality and widely available, many cities have designed community-wide systems to coordinate the various afterschool programs offered by different providers. Having a way to collect and share reliable data…
Descriptors: After School Programs, Low Income Students, At Risk Students, Youth Programs
Padilla, Thomas – OCLC Online Computer Library Center, Inc., 2019
Responsible Operations is intended to help chart library community engagement with data science, machine learning, and artificial intelligence (AI) and was developed in partnership with an advisory group and a landscape group comprised of more than 70 librarians and professionals from universities, libraries, museums, archives, and other…
Descriptors: Data Collection, Data Analysis, Artificial Intelligence, Educational Technology
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Casey, Kevin – Journal of Learning Analytics, 2017
Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…
Descriptors: Keyboarding (Data Entry), Educational Research, Data Collection, Data Analysis
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Irby, Stefan M.; Phu, Andy L.; Borda, Emily J.; Haskell, Todd R.; Steed, Nicole; Meyer, Zachary – Chemistry Education Research and Practice, 2016
There is much agreement among chemical education researchers that expertise in chemistry depends in part on the ability to coordinate understanding of phenomena on three levels: macroscopic (observable), sub-microscopic (atoms, molecules, and ions) and symbolic (chemical equations, graphs, etc.). We hypothesize this "level-coordination…
Descriptors: Chemistry, Formative Evaluation, Graduate Students, College Students
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Hildebrandt, Mireille – Journal of Learning Analytics, 2017
This article is a revised version of the keynote presented at LAK '16 in Edinburgh. The article investigates some of the assumptions of learning analytics, notably those related to behaviourism. Building on the work of Ivan Pavlov, Herbert Simon, and James Gibson as ways of "learning as a machine," the article then develops two levels of…
Descriptors: Behaviorism, Data Processing, Profiles, Learning Processes
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Lewis, Steven; Hardy, Ian – British Journal of Educational Studies, 2017
This article draws upon recent theorising of the "becoming topological" of space--specifically, how new social spaces are constituted through relations rather than physical locations--to explore how standardised data, and specifically test data, have influenced teachers' work and learning. We outline the varied ways in which teacher…
Descriptors: Foreign Countries, Standardized Tests, Elementary School Teachers, Data Collection
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Hagaman, Ashley K.; Wutich, Amber – Field Methods, 2017
There is much debate over the number of interviews needed to reach data saturation for themes and metathemes in qualitative research. The primary purpose of this study is to determine the number of interviews needed to reach data saturation for metathemes in multisited and cross-cultural research. The analysis is based on a cross-cultural study on…
Descriptors: Interviews, Data Collection, Qualitative Research, Cross Cultural Studies
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Eaton, Sarah Elaine – Interchange: A Quarterly Review of Education, 2017
This article shares the findings of a study investigating institutional policy definitions of plagiarism at twenty English-speaking Canadian universities. The types of primary sources consulted for this study included: (1) university academic calendars for 2016-2017, (2) institutional policies on academic misconduct, and (3) student academic codes…
Descriptors: Educational Policy, School Policy, Definitions, Plagiarism
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Thompson, Greg – British Journal of Sociology of Education, 2017
This article critically considers the promise of computer adaptive testing (CAT) and digital data to provide better and quicker data that will improve the quality, efficiency and effectiveness of schooling. In particular, it uses the case of the Australian NAPLAN test that will become an online, adaptive test from 2016. The article argues that…
Descriptors: Foreign Countries, Computer Assisted Testing, Adaptive Testing, National Competency Tests
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Berg, Emily A.; Hanson, Mark – New Directions for Higher Education, 2017
This chapter provides an example of how one university's institutional research office played an active role in using data from institutional studies to guide the university toward courses ripe for change, faculty toward successful teaching strategies, students toward successful learning behaviors, and the university toward assessing the impact of…
Descriptors: Evidence Based Practice, Universities, Institutional Research, Data Collection
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Ben Shahar, Tammy Harel – Theory and Research in Education, 2017
This article examines the effects of incorporating information and communication technologies in schools in terms of distributive justice. To do so, four issues that are central to educational justice are discussed: scarcity of resources, the positional nature of education, peer effects, and biases in educational decision-making. The discussion…
Descriptors: Equal Education, Information Technology, Data Analysis, Data Collection
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Quartiroli, Alessandro; Knight, Sharon M.; Etzel, Edward F.; Monaghan, Molly – International Journal of Social Research Methodology, 2017
The usefulness of the online Skype system for qualitative data collection has been well documented, but its application in qualitative data analysis has been largely ignored. This article provides insight into the use of Skype in the context of interdisciplinary team research, with a focus on the analytical phase of a qualitative investigation.…
Descriptors: Computer Mediated Communication, Video Technology, Teamwork, Qualitative Research
Peer, Andrea Jo – ProQuest LLC, 2017
Organizations interested in increasing their user experience (UX) capacity lack the tools they need to know how to do so. This dissertation addresses this challenge via three major research efforts: 1) the creation of User Data Spectrum theory and a User Data Spectrum survey for helping organizations better invest resources to grow their UX…
Descriptors: Data Collection, Data Interpretation, Theories, Use Studies
American Association of Collegiate Registrars and Admissions Officers (AACRAO), 2017
This 60-Second survey (Appendix A) was a partnership between the American Council on Education (ACE) and AACRAO. Colleges and universities have invested in the use of data analytics to improve student outcomes, close attainment gaps, and improve organizational performance. As environmental conditions continue to evolve, the pressure to do so in…
Descriptors: Data, Institutional Research, Opinions, Access to Information
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Wang, Yinying – TechTrends: Linking Research and Practice to Improve Learning, 2016
Against the backdrop of the ever-increasing influx of big data, this article examines the opportunities and concerns over big data in education. Specifically, this article first introduces big data, followed by delineating the potential opportunities of using big data in education in two areas: learning analytics and educational policy. Then, the…
Descriptors: Educational Research, Data Collection, Data Analysis, Educational Policy
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