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Liu, Ran; Koedinger, Kenneth R. – Journal of Educational Data Mining, 2017
As the use of educational technology becomes more ubiquitous, an enormous amount of learning process data is being produced. Educational data mining seeks to analyze and model these data, with the ultimate goal of improving learning outcomes. The most firmly grounded and rigorous evaluation of an educational data mining discovery is whether it…
Descriptors: Educational Technology, Technology Uses in Education, Data Collection, Data Analysis
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Kavgaoglu, Derya; Alci, Bülent – Educational Research and Reviews, 2016
The goal of this research which was carried out in reputable dedicated call centres within the Turkish telecommunication sector aims is to evaluate competence-based curriculums designed by means of internal funding through Stufflebeam's context, input, process, product (CIPP) model. In the research, a general scanning pattern in the scope of…
Descriptors: Foreign Countries, Evaluation Methods, Models, Curriculum Evaluation
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Waters, Andrew; Studer, Christoph; Baraniuk, Richard – Journal of Educational Data Mining, 2014
Identifying collaboration between learners in a course is an important challenge in education for two reasons: First, depending on the courses rules, collaboration can be considered a form of cheating. Second, it helps one to more accurately evaluate each learners competence. While such collaboration identification is already challenging in…
Descriptors: Cooperation, Large Group Instruction, Online Courses, Probability
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Dreisinger, Mariah L.; Boland, Elizabeth M.; Filler, Carl D.; Baker, Elizabeth A.; Hessel, Amy S.; Brownson, Ross C. – Health Education Research, 2012
Within the realm of obesity prevention research, there have been many promising interventions to improve physical activity and nutrition among diverse target populations. However, very little information is known about the dissemination and replication of these interventions. In 2007 and 2008 as part of a larger obesity prevention initiative,…
Descriptors: Obesity, Intervention, Physical Activities, Prevention
Carney, Megan Strawsine – ProQuest LLC, 2012
This paper describes the confirmatory factor analysis, validity, and reliability data collection stage of the development of a scale to measure mainstream teachers' self-efficacy beliefs for teaching ELL (English Language Learner) students. Data were collected from 708 K through 12 teachers and pre-service teachers with varying degrees of…
Descriptors: English Language Learners, English Instruction, Rating Scales, Test Reliability
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Wainer, Howard – Journal of Educational and Behavioral Statistics, 2010
In this essay, the author tries to look forward into the 21st century to divine three things: (i) What skills will researchers in the future need to solve the most pressing problems? (ii) What are some of the most likely candidates to be those problems? and (iii) What are some current areas of research that seem mined out and should not distract…
Descriptors: Research Skills, Researchers, Internet, Access to Information
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James, Mary; Pedder, David – Curriculum Journal, 2006
This article reports the findings of a survey of 558 teachers in England. It describes how conceptual and empirical insights from the literature informed the construction of questionnaire items to provide answers to questions about the way in which teachers value different classroom assessment practices and how congruent with these values they…
Descriptors: Foreign Countries, Teaching Methods, Values, Teacher Surveys
Allerup, Peter – 1985
Approximately 1200 Danish school children aged 8, 11, and 14 participated in a questionnaire study under the caption, "Why I like to read." Data from Denmark formed part of an international study, in which 12 other countries used the same questionnaire to explore various functions of reading and to compare them over different countries.…
Descriptors: Data Collection, Elementary Education, Factor Analysis, Foreign Countries
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection