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Zhou, Guojing; Wang, Jianxun; Lynch, Collin F.; Chi, Min – International Educational Data Mining Society, 2017
In this study, we applied decision trees (DT) to extract a compact set of pedagogical decision-making rules from an original "full" set of 3,702 Reinforcement Learning (RL)- induced rules, referred to as the DT-RL rules and Full-RL rules respectively. We then evaluated the effectiveness of the two rule sets against a baseline Random…
Descriptors: Learning Theories, Teaching Methods, Decision Making, Intelligent Tutoring Systems
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Guo, Shu – portal: Libraries and the Academy, 2015
Statistics suggest the prevalence of grade inflation nationwide, and researchers perform many analyses on student grades at both university and college levels. This analysis focuses on a one-credit library instruction course for undergraduate students at a large public university. The studies examine thirty semester GPAs and the percentages of As…
Descriptors: Library Instruction, Grades (Scholastic), Trend Analysis, Credits
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Rojstaczer, Stuart; Healy, Christopher – Teachers College Record, 2012
Background/Context: College grades can influence a student's graduation prospects, academic motivation, postgraduate job choice, professional and graduate school selection, and access to loans and scholarships. Despite the importance of grades, national trends in grading practices have not been examined in over a decade, and there has been a…
Descriptors: Grades (Scholastic), Grading, Geographic Regions, Private Colleges
Britton, J. N.; And Others – 1966
An experiment was conducted to find a better method of marking English composition than that which is in general use. The method tested was one in which each composition was assessed independently by three markers who judged the general impression of the writing, and by a fourth marker who applied a code of penalties for mechanical errors. Brief…
Descriptors: Comparative Analysis, Data Analysis, Evaluation Methods, Grading
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