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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
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
Wüstenberg, Sascha; Greiff, Samuel; Vainikainen, Mari-Pauliina; Murphy, Kevin – Journal of Educational Psychology, 2016
Changes in the demands posed by increasingly complex workplaces in the 21st century have raised the importance of nonroutine skills such as complex problem solving (CPS). However, little is known about the antecedents and outcomes of CPS, especially with regard to malleable external factors such as classroom climate. To investigate the relations…
Descriptors: Individual Differences, Problem Solving, Difficulty Level, Foreign Countries
Peer reviewedSilvino, Philip J. – Education, 1975
The purpose of this study was to determine whether significant differences exist in the measured values of elementary school children in grades four, five, and six in relationship to the variables of sex, grade, parochial school and public school students, and socioeconomic level as measured by the Social Values Inventory (SVI). (Author)
Descriptors: Data Analysis, Elementary School Students, Individual Differences, Measurement Instruments
Peer reviewedKassinove, Howard – Journal of Educational Psychology, 1972
Results indicate that the auditory stimulation in no way affected task performance. Author argues that great amounts of money should not be spent by either schools or parents in order to eliminate moderate amounts of noise from a child's academic environment. (Author/CB)
Descriptors: Academic Achievement, Age Differences, Auditory Stimuli, Data Analysis
Peer reviewedStanley, Gordon; And Others – British Journal of Psychology, 1983
Compared the efficiency of eye-movements of dyslexic children (N=15) while tracking sequential lights. Contrary to Pavlidis (1981) no significant differences were found. In a reply, Pavlidis pointed out methodological differences between the studies. Further comments by the first authors discussed procedures, subject selection, and data analysis.…
Descriptors: Data Analysis, Dyslexia, Elementary School Students, Evaluation Methods
Thorpe, Pamela K. – 2003
Many educational questions of research interest focus on individual differences in attitudes and behaviors related to academic achievement, changes in such attitudes and behaviors over time, and the types of academic environments that facilitate or prevent development of achievement attitudes and behaviors at school. This paper, the first in a…
Descriptors: Academic Achievement, Data Analysis, Elementary School Students, Elementary Secondary Education

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