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Hoppe, H. Ulrich – Journal of Learning Analytics, 2015
This commentary elaborates on the role of "grounding" as a focal theoretical concept and aims to contextualize the claims formulated by Schneider and Pea (2015, this issue) in previous CSCL discussions. It provides fingerposts for enriching and refining the concept of grounding from a pedagogical point of view. It also suggests using the…
Descriptors: Eye Movements, Interaction, Cooperative Learning, Semantics
Gaševic, Dragan; Dawson, Shane; Siemens, George – TechTrends: Linking Research and Practice to Improve Learning, 2015
The analysis of data collected from the interaction of users with educational and information technology has attracted much attention as a promising approach for advancing our understanding of the learning process. This promise motivated the emergence of the new research field, learning analytics, and its closely related discipline, educational…
Descriptors: Data Collection, Educational Research, Data Analysis, Information Technology
Stornaiuolo, Amy – Journal of the Learning Sciences, 2020
This article centers sociocultural and sociopolitical considerations of how young people understand, represent, and use data by presenting findings from a social design research study about how students in a public urban high school authored "data stories" using personal data they curated, collected, and visualized. The study contributes…
Descriptors: Adolescents, Shared Resources and Services, Interdisciplinary Approach, Educational Technology
Achieving the Dream, 2020
In 2019, Nebraska Indian Community College (NICC) joined the National Student Clearinghouse Postsecondary Data Partnership (PDP). This technical brief will discuss an approach to prepare Postsecondary Data Partnership (PDP) data collections that consist of the development of both term cohort files and course files. The process utilized course and…
Descriptors: Community Colleges, Tribally Controlled Education, American Indian Education, American Indian Students
Fraillon, Julian, Ed.; Ainley, John, Ed.; Schulz, Wolfram, Ed.; Friedman, Tim, Ed.; Duckworth, Daniel, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 investigated how well students are prepared for study, work, and life in a digital world. ICILS 2018 measured international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and communicate at…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
Hartong, Sigrid – Globalisation, Societies and Education, 2018
The ongoing trend towards educational globalisation has brought about various dynamics of education policy "rescaling," resulting in a growing number of governmental arrangements, which are operating across traditional scales, levels or sectors of policy. This contribution takes up the conceptual frameworks of topological spatialisation…
Descriptors: Foreign Countries, Educational Policy, Information Technology, Data Analysis
Staveley-O'Carroll, James – Journal of Economic Education, 2018
Over the course of one semester, six empirical assignments that utilize FRED are used to introduce students of money and banking courses to the economic analysis required for the conduct of monetary policy. The first five assignments cover the following topics: inflation, bonds and stocks, monetary aggregates, the Taylor rule, and employment.…
Descriptors: Economics Education, Graphs, Assignments, Macroeconomics
Motz, Benjamin A.; Carvalho, Paulo F.; de Leeuw, Joshua R.; Goldstone, Robert L. – Journal of Learning Analytics, 2018
To identify the ways teachers and educational systems can improve learning, researchers need to make causal inferences. Analyses of existing datasets play an important role in detecting causal patterns, but conducting experiments also plays an indispensable role in this research. In this article, we advocate for experiments to be embedded in real…
Descriptors: Causal Models, Statistical Inference, Inferences, Educational Experiments
Parnell, Amelia; Jones, Darlena; Wesaw, Alexis; Brooks, D. Christopher – EDUCAUSE, 2018
As higher education institutions in the United States strive to maximize their use of resources to better support students, it is critical for professionals to make data-informed decisions. Most institutions are currently gathering an abundance of data from multiple sources, which provides a good opportunity for functional units, divisions, and…
Descriptors: College Students, Colleges, Data Analysis, Data Collection
Fu, Shuang; King, Kendall – Discourse: Studies in the Cultural Politics of Education, 2021
This paper examines recent political debates surrounding data disaggregation in education policy in one US state, and analyses the discourses taken up by supporters and opponents of these policies. Analysis suggests how discourses move across time and space, and focuses on how these discourses are contextualized and entextualized in social media,…
Descriptors: Civil Rights, Ethnic Groups, Political Attitudes, Educational Policy
Konstantinos Pouliakas – Cedefop - European Centre for the Development of Vocational Training, 2021
The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…
Descriptors: Job Skills, Information Technology, Artificial Intelligence, Employment Qualifications
Konstantinos Pouliakas – Cedefop - European Centre for the Development of Vocational Training, 2021
The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…
Descriptors: Job Skills, Information Technology, Artificial Intelligence, Employment Qualifications
Prasad, Deepak; Totaram, Rajneel; Usagawa, Tsuyoshi – TechTrends: Linking Research and Practice to Improve Learning, 2016
In the last few years, open textbook development has picked up dramatically due both to the expense of commercially published textbooks and the increasing availability of high-quality OER alternatives. While this offers a tremendous benefit in terms of lowering student textbook costs, the question remains, to what extent (if any) do open textbooks…
Descriptors: Textbooks, Open Source Technology, Electronic Publishing, Reader Text Relationship
Lawson, Celeste; Beer, Colin; Rossi, Dolene; Moore, Teresa; Fleming, Julie – Educational Technology Research and Development, 2016
Learning analytics is an emerging field in which sophisticated analytic tools are used to inform and improve learning and teaching. Researchers within a regional university in Australia identified an association between interaction and student success in online courses and subsequently developed a learning analytics system aimed at informing…
Descriptors: Data Collection, Data Analysis, Educational Research, Foreign Countries
Grovenstein, Elizabeth – Hunt Institute, 2016
"Which preschool programs best prepare students for kindergarten?" "Which students from which schools need remediation classes in higher education?" "How successful are college graduates in the workforce by major or credential?" These are just a few of the questions that can be answered by a robust longitudinal data…
Descriptors: Data Analysis, Data Collection, Preschool Education, Elementary Secondary Education

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