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Schermer, Maike; Fosker, Tim – International Journal of Research & Method in Education, 2020
Arguably one of the most valuable tools for investigating pupil behaviour in an educational environment is systematic classroom observation. Classroom observation is often cited as having the potential to enable research of the learning process in action. Low inference classroom observation instruments are designed to record a sequence of data…
Descriptors: Classroom Observation Techniques, Learning Processes, Intervals, Individual Differences
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Chien, Chin-Wen – Teacher Development, 2018
A critical incident is an unexpected event that occurs in the classroom. Teachers can uncover a new understanding of the teaching and learning process through reflecting on these critical incidents. This study explored the writing and discussion of critical incidents among six student teachers with their cooperating teachers in a practicum under…
Descriptors: Foreign Countries, Student Teachers, Second Language Instruction, Second Language Learning
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Liu, Ran; Koedinger, Kenneth R. K – International Educational Data Mining Society, 2017
Research in Educational Data Mining could benefit from greater efforts to ensure that models yield reliable, valid, and interpretable parameter estimates. These efforts have especially been lacking for individualized student-parameter models. We collected two datasets from a sizable student population with excellent "depth" -- that is,…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Bayesian Statistics, Pretests Posttests
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Khajah, Mohammad; Lindsey, Robert V.; Mozer, Michael C. – International Educational Data Mining Society, 2016
In theoretical cognitive science, there is a tension between highly structured models whose parameters have a direct psychological interpretation and highly complex, general-purpose models whose parameters and representations are difficult to interpret. The former typically provide more insight into cognition but the latter often perform better.…
Descriptors: Bayesian Statistics, Data Analysis, Prediction, Intelligent Tutoring Systems
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Lee, Ahlam – Career Development for Exceptional Individuals, 2011
The author examined enrollment differences at postsecondary institutions between students with and without disabilities in science, technology, engineering, and mathematics (STEM) majors to investigate the extent to which students with disabilities, compared with their counterparts, pursue highly demanded STEM careers that require postsecondary…
Descriptors: Majors (Students), Disabilities, Learning Processes, Enrollment Rate
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Burke, Ronald J. – Journal of General Psychology, 1971
Descriptors: Ability, Anxiety, Cognitive Processes, Data Analysis
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MacWhinney, Brian – Language Testing, 1995
Reviews factors influencing reversals of expectations for language-learning outcomes. This article touches on psychological and neurological data regarding individual differences in language-learning mechanisms and focuses on cross-linguistic psycholinguistic analysis that indicates that different target languages offer a wide variety of learning…
Descriptors: Cognitive Mapping, Data Analysis, Individual Differences, Language Aptitude
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