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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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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
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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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
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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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Yin, Chengjiu; Hirokawa, Sachio; Yau, Jane Yin-Kim; Hashimoto, Kiyota; Tabata, Yoshiyuki; Nakatoh, Tetsuya – International Journal of Distance Education Technologies, 2013
To help researchers in building a knowledge foundation of their research fields which could be a time-consuming process, the authors have developed a Cross Tabulation Search Engine (CTSE). Its purpose is to assist researchers in 1) conducting research surveys, 2) efficiently and effectively retrieving information (such as important researchers,…
Descriptors: Search Engines, Online Searching, Surveys, Research
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Rees, Malcolm – Journal of Institutional Research, 2014
This paper reports on progress to date with a project underway in New Zealand involving the extraction of data from multiple government agencies that is then combined into one comprehensive longitudinal integrated dataset and made available to trial participants in a way never previously thought possible. The dataset includes school leaver…
Descriptors: Foreign Countries, Data Collection, Data Analysis, Data Processing
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Alvarado, S.; Marin, E.; Juarez, A. G.; Calderon, A.; Ivanov, R. – European Journal of Physics, 2012
The implementation of an automated system based on the hot-wire technique is described for the measurement of the thermal conductivity of liquids using equipment easily available in modern physics laboratories at high schools and universities (basically a precision current source and a voltage meter, a data acquisition card, a personal computer…
Descriptors: Physics, Computer Uses in Education, Measurement Techniques, Data Processing
Dorans, Neil J.; Moses, Tim P.; Eignor, Daniel R. – Educational Testing Service, 2010
Score equating is essential for any testing program that continually produces new editions of a test and for which the expectation is that scores from these editions have the same meaning over time. Particularly in testing programs that help make high-stakes decisions, it is extremely important that test equating be done carefully and accurately.…
Descriptors: Equated Scores, Methods, Data Collection, Data Processing
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Clewley, Natalie; Chen, Sherry Y.; Liu, Xiaohui – Educational Technology & Society, 2011
Web-based instruction programs are used by learners with diverse knowledge, skills and needs. These differences determine their preferences for the design of Web-based instruction programs and ultimately influence learners' success in using them. Cognitive style has been found to significantly affect learners' preferences of web-based instruction…
Descriptors: Cognitive Style, Web Based Instruction, Internet, Bayesian Statistics
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Zhuang, Jie; Chen, Peijie; Wang, Chao; Huang, Liang; Zhu, Zheng; Zhang, Wenjie; Fan, Xiang – Research Quarterly for Exercise and Sport, 2013
Purpose: The purpose of this study was to investigate the characteristics of missing physical activity (PA) data of children and youth. Method: PA data from the Chinese City Children and Youth Physical Activity Study ("N" = 2,758; 1,438 boys and 1,320 girls; aged 9-17 years old) were used for the study. After the data were sorted by the…
Descriptors: Physical Activities, Error of Measurement, Statistical Data, Gender Differences
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Rupp, André A.; Nugent, Rebecca; Nelson, Brian – Journal of Educational Data Mining, 2012
In recent years the educational community has increasingly embraced digital technologies for the purposes of developing alternative learning environments, providing diagnostic feedback, and fostering the development of so-called 21st-century skills. This special issue is dedicated to bridging recent work from the disciplines of educational and…
Descriptors: Electronic Learning, Psychometrics, Educational Environment, Educational Technology
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