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Brandriet, Alexandra; Holme, Thomas – Journal of Chemical Education, 2015
As part of the ACS Examinations Institute (ACS-EI) national norming process, student performance data sets are collected from professors at colleges and universities from around the United States. Because the data sets are collected on a volunteer basis, the ACS-EI often receives data sets with only students' total scores and without the students'…
Descriptors: Chemistry, Data Analysis, Error of Measurement, Science Tests
Wise, Alyssa Friend; Shaffer, David Williamson – Journal of Learning Analytics, 2015
It is an exhilarating and important time for conducting research on learning, with unprecedented quantities of data available. There is a danger, however, in thinking that with enough data, the numbers speak for themselves. In fact, with larger amounts of data, theory plays an ever-more critical role in analysis. In this introduction to the…
Descriptors: Learning Theories, Predictor Variables, Data, Data Analysis
Dalla Vecchia, Rodrigo – Themes in Science and Technology Education, 2015
This study discusses aspects of the association between Mathematical Modeling (MM) and Big Data in the scope of mathematical education. We present an example of an activity to discuss two ontological factors that involve MM. The first is linked to the modeling stages. The second involves the idea of pedagogical objectives. The main findings…
Descriptors: Mathematics Education, Mathematical Models, Data Analysis, Mathematics Activities
A Navigation Pattern Analysis of University Department's Websites Using a Processing Mining Approach
Han, Kwan Hee; Hwang, Boram; Jeon, Jeonghwan – Innovations in Education and Teaching International, 2015
The university's website is a useful tool in disseminating information to current and future college students and is supportive of the university's administrative activities. However, as the university's website began including more and more information and the design of it has become gradually more complex, it has become hard to find desired…
Descriptors: Web Sites, Navigation (Information Systems), Universities, Departments
Blikstad-Balas, Marte; Sørvik, Gard Ove – Literacy, 2015
This article addresses how methodological approaches relying on video can be included in literacy research to capture changing literacies. In addition to arguing why literacy is best studied in context, we provide empirical examples of how small, head-mounted video cameras have been used in two different research projects that share a common aim:…
Descriptors: Literacy, Video Technology, Photography, Difficulty Level
Haya, Pablo A.; Daems, Oliver; Malzahn, Nils; Castellanos, Jorge; Hoppe, Heinz Ulrich – British Journal of Educational Technology, 2015
Learning Analytics constitutes a key tool for supporting Learning Design and teacher-led inquiry into student learning. In this paper, we demonstrate how a Social Learning Analytics toolkit can combine social network analysis and content analysis for supporting a global and formal teacher inquiry. This toolkit not only supports teachers in…
Descriptors: Educational Research, Data Collection, Data Analysis, Socialization
Hughes, Glyn; Dobbins, Chelsea – Research and Practice in Technology Enhanced Learning, 2015
The growth of the Internet has enabled the popularity of open online learning platforms to increase over the years. This has led to the inception of Massive Open Online Courses (MOOCs) that globally enrol millions of people. Such courses operate under the concept of open learning, where content does not have to be delivered via standard mechanisms…
Descriptors: Data Analysis, Predictor Variables, Academic Achievement, Online Courses
Barnett, William; Corn, Mike; Hillegas, Curt; Wada, Kent – EDUCAUSE, 2015
This paper is part of series of the EDUCAUSE Center for Analysis and Research Campus Cyberinfrastructure (ECAR-CCI) Working Group. The topic of big data continues to receive a great deal of publicity because of its promise for opening new avenues of scholarly discovery and commercial opportunity. The ability to sift rapidly through massive amounts…
Descriptors: Higher Education, Data Collection, Data Analysis, Information Management
Lynch, Clifford A. – EDUCAUSE, 2015
This paper is part of series of the EDUCAUSE Center for Analysis and Research Campus Cyberinfrastructure (ECAR-CCI) Working Group. The topic of big data continues to receive a great deal of publicity because of its promise for opening new avenues of scholarly discovery and commercial opportunity. The ability to sift rapidly through massive amounts…
Descriptors: Higher Education, Data Collection, Data Analysis, Information Management
Lewkow, Nicholas; Zimmerman, Neil; Riedesel, Mark; Essa, Alfred – International Educational Data Mining Society, 2015
Next generation digital learning environments require delivering "just-in-time feedback" to learners and those who support them. Unlike traditional business intelligence environments, streaming data requires resilient infrastructure that can move data at scale from heterogeneous data sources, process the data quickly for use across…
Descriptors: Electronic Learning, Data Analysis, Higher Education, Elementary Secondary Education
Feller, Avi; Miratrix, Luke – Society for Research on Educational Effectiveness, 2015
The goal of this study is to better understand how methods for estimating treatment effects of latent groups operate. In particular, the authors identify where violations of assumptions can lead to biased estimates, and explore how covariates can be critical in the estimation process. For each set of approaches, the authors first review the…
Descriptors: Computation, Statistical Analysis, Statistical Bias, Outcomes of Treatment
Fife, James H.; James, Kofi; Peters, Stephanie – ETS Research Report Series, 2020
The concept of variability is central to statistics. In this research report, we review mathematics education research on variability and, based on that review and on feedback from an expert panel, propose a learning progression (LP) for variability. The structure of the proposed LP consists of 5 levels of sophistication in understanding…
Descriptors: Mathematics Education, Statistics Education, Feedback (Response), Research Reports
Shaw, Paula; Green, Pauline; Gration, Marlies; Rhodes, Christine; Sheffield, David; Stone, Julie – Australasian Journal of Educational Technology, 2020
Through this paper, we explore "unbundling," the separation of various aspects of education, resources, teaching and assessment (Ossiannilsson et al., 2015) and "rebundling," where these activities are "recombined into new configurations with little loss of functionality" (Ge et al., 2004, p. 1). We chart the…
Descriptors: Online Courses, Foreign Countries, Higher Education, Educational Technology
Kazaz, Ilknur – International Online Journal of Education and Teaching, 2020
The last decade has witnessed a strong impact of emerging technologies on language pedagogy due to the developments in the computer technologies. The use of authentic linguistic examples through corpora and concordance based activities is defined as data-driven learning and it exposes the students to examples of more realistic language than…
Descriptors: Alternative Assessment, Vocabulary Skills, Comparative Analysis, State Universities
Matranga, Anthony; Silverman, Jason; Koku, Emmanuel; Klein, Valerie; Shumar, Wesley – Journal of Interactive Learning Research, 2020
Teacher professional development (PD) that supports the emergence of professional learning communities (PLCs) is effective for teachers' learning and instructional improvement. Our work focuses on supporting the emergence of online PLCs and an emergent issue in this work is how to maintain the quality of teachers' experiences in online PLCs when…
Descriptors: Faculty Development, Online Courses, Educational Technology, Program Effectiveness

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