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Greenhoot, Andrea Follmer; Dowsett, Chantelle J. – Journal of Cognition and Development, 2012
Existing data sets can be an efficient, powerful, and readily available resource for addressing questions about developmental science. Many of the available databases contain hundreds of variables of interest to developmental psychologists, track participants longitudinally, and have representative samples. In this article, the authors discuss the…
Descriptors: Data Analysis, Developmental Psychology, Research Methodology, Best Practices
Waters, John K. – Campus Technology, 2013
The latest data alert: By 2020, the amount of data generated daily will reach 40 zettabytes, or roughly 5,247 gigabytes for every person on earth. That's one of the findings in a new report published by IT industry analysts at IDC. The study casts doubt on the ability to capture the value of all this data, especially since schools barely tapped…
Descriptors: Information Management, Data, Data Collection, Data Processing
Luterbach, Kenneth J. – Educational Technology, 2013
Educational technologists may advance the state of the field by increasing capacity to develop software tools and instructional applications. Presently, few academic programs in educational technology require even a single computer programming course. Further, the educational technologists who develop software generally work independently or in…
Descriptors: Computer Software, Educational Technology, Programming, Capacity Building
Waters, John K. – Campus Technology, 2012
In the case of higher education, the hills are more like mountains of data that "we're accumulating at a ferocious rate," according to Gerry McCartney, CIO of Purdue University (Indiana). "Every higher education institution has this data, but it just sits there like gold in the ground," complains McCartney. Big Data and the new tools people are…
Descriptors: Higher Education, Educational Change, Data, Data Processing
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Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
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Swaid, Samar – Journal of Learning in Higher Education, 2013
Cyberinfrastructure (CI) is a term that usually appears in scientific research, but rarely to be noticed as a scientific education tool. In this paper, I describe a transformative Cyberinfrastructure-based strategy to improve Science, Technology, Engineering and Mathematics (STEM) education at one of the historically black colleges. This strategy…
Descriptors: Undergraduate Study, STEM Education, Black Colleges, Introductory Courses
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Ingels, Steven J.; Pratt, Daniel J.; Jewell, Donna M.; Mattox, Tiffany; Dalton, Ben; Rosen, Jeffrey; Lauff, Erich; Hill, Jason – National Center for Education Statistics, 2012
This report describes the methodologies and results of the third follow-up Education Longitudinal Study of 2002 (ELS:2002/12) field test which was conducted in the summer of 2011. The field test report is divided into six chapters: (1) Introduction; (2) Field Test Survey Design and Preparation; (3) Data Collection Procedures and Results; (4) Field…
Descriptors: Longitudinal Studies, Field Tests, Followup Studies, Surveys
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O'Reilly, Una-May; Veeramachaneni, Kalyan – Research & Practice in Assessment, 2014
Because MOOCs bring big data to the forefront, they confront learning science with technology challenges. We describe an agenda for developing technology that enables MOOC analytics. Such an agenda needs to efficiently address the detailed, low level, high volume nature of MOOC data. It also needs to help exploit the data's capacity to reveal, in…
Descriptors: Data, Technology Uses in Education, Online Courses, Open Education
Data Quality Campaign, 2014
This publication provides an overview of the current federal opportunities to help states advance their data-related activities. Although not exhaustive, this list provides a starting point for federal policymakers to support states' work in this area.
Descriptors: Federal Aid, Data Collection, Data Processing, Information Management
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Blagdanic, Casandra; Chinnappan, Mohan – Australian Mathematics Teacher, 2013
Numeracy in schools is becoming an increasingly important part of mathematics learning and teaching. This is because educators want students to engage with mathematical concepts more deeply, use mathematics to make sense of their environment and make decisions that are based on the analysis of mathematical information. In order to be numerate,…
Descriptors: Statistical Analysis, Statistics, Data Interpretation, Numeracy
Kagklis, Vasileios; Karatrantou, Anthi; Tantoula, Maria; Panagiotakopoulos, Chris T.; Verykios, Vassilios S. – European Journal of Open, Distance and E-Learning, 2015
Online fora have become not only one of the most popular communication tools in e-learning environments, but also one of the key factors of the learning process, especially in distance learning, as they can provide to the students involved, motivation for collaboration in order to achieve a common goal. The purpose of this study is to analyse data…
Descriptors: Case Studies, Distance Education, Electronic Learning, Foreign Countries
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Tsai, Chia-Wen – Interactive Learning Environments, 2015
This research investigated, via quasi-experiments, the effects of web-based co-regulated learning (CRL) on developing students' computing skills. Two classes of 68 undergraduates in a one-semester course titled "Applied Information Technology: Data Processing" were chosen for this research. The first class (CRL group, n = 38) received…
Descriptors: Web Based Instruction, Cooperative Learning, Electronic Learning, Blended Learning
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Alaimo, Peter J.; Langenhan, Joseph M.; Suydam, Ian T. – Journal of Chemical Education, 2014
Many traditional organic chemistry lab courses do not adequately help students to develop the professional skills required for creative, independent work. The overarching goal of the new organic chemistry lab series at Seattle University is to teach undergraduates to think, perform, and behave more like professional scientists. The conversion of…
Descriptors: Undergraduate Students, Organic Chemistry, Alignment (Education), Science Process Skills
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Buchanan, Taylor L.; Lohse, Keith R. – Measurement in Physical Education and Exercise Science, 2016
We surveyed researchers in the health and exercise sciences to explore different areas and magnitudes of bias in researchers' decision making. Participants were presented with scenarios (testing a central hypothesis with p = 0.06 or p = 0.04) in a random order and surveyed about what they would do in each scenario. Participants showed significant…
Descriptors: Researchers, Attitudes, Statistical Significance, Bias
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