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Analyzing Log Files to Predict Students' Problem Solving Pe..:

Young-Jin Lee
Journal of Educational Technology & Society. 18 (2015) 2 - p. 225-236 , 2015

Link: https://www.jstor.org/stable/jeductechsoci.18.2.225

RT Journal
T1 <Title>Analyzing Log Files to Predict Students' Problem Solving Performance in a Computer-Based Physics Tutor</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-jeductechsoci.18.2.225&Exemplar=1&LAN=DE
				
A1 Young-Jin Lee
PB International Forum of Educational Technology & Society
YR 2015
SN 1176-3647
SN 1436-4522
K1 Log file analysis
K1 Computer-based learning environment
K1 Problem solving
K1 Statistical modeling
K1 Physical sciences
K1 Physics
K1 Behavioral sciences
K1 Psychology
K1 Cognitive psychology
K1 Cognitive processes
K1 Education
K1 Formal education
K1 Educational institutions
K1 Educational environment
K1 Information science
K1 Information analysis
K1 Data analysis
K1 Regression analysis
K1 Logistic regression
K1 Applied sciences
K1 Research methods
K1 Modeling
K1 Mathematics
K1 Applied mathematics
K1 Statistics
K1 Applied statistics
K1 Statistical models
K1 Pedagogy
K1 Individual instruction
K1 Tutoring
K1 Data products
K1 Datasets
K1 Educational activities
JF Journal of Educational Technology & Society
VO 18
IS 2
SP 225
OP 236
LK http://dx.doi.org/https://www.jstor.org/stable/jeductechsoci.18.2.225
DO https://www.jstor.org/stable/jeductechsoci.18.2.225
SF ELIB - SuUB Bremen

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