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Wenyangzi Shi; Zohreh Shahbazi – Canadian Journal of Science, Mathematics and Technology Education, 2024
The COVID-19 pandemic has brought the rapid transition to online quantitative education, leading to unique challenges and opportunities in assessments for both students and instructors. Focusing on undergraduate students and teaching staff at a Canadian university, this study investigates and compares their experiences and perspectives regarding…
Descriptors: Statistics Education, Online Courses, COVID-19, Pandemics
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Murray, Keith B.; Zdravkovic, Srdan – Journal of Education for Business, 2016
Considerable debate continues regarding the efficacy of the website RateMyProfessors.com (RMP). To date, however, virtually no direct, experimental research has been reported which directly bears on questions relating to sampling adequacy or item adequacy in producing what favorable correlations have been reported. The authors compare the data…
Descriptors: Computer Assisted Testing, Computer Software Evaluation, Student Evaluation of Teacher Performance, Item Analysis
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Lokkila, Erno; Kaila, Erkki; Lindén, Rolf; Laakso, Mikko-Jussi; Sutinen, Erkki – Interactive Technology and Smart Education, 2017
Purpose: The purpose of this paper was to determine whether applying e-learning material to a course leads to consistently improved student performance. Design/methodology/approach: This paper analyzes grade data from seven instances of the course. The first three instances were performed traditionally. After an intervention, in the form of…
Descriptors: Active Learning, Engineering Education, Teaching Methods, Grades (Scholastic)
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McGhee, Debbie E.; Lowell, Nana – New Directions for Teaching and Learning, 2003
This study compares mean ratings, inter-rater reliabilities, and the factor structure of items for online and paper student-rating forms from the University of Washington's Instructional Assessment System. (Contains 3 figures and 2 tables.)
Descriptors: Psychometrics, Factor Structure, Student Evaluation of Teacher Performance, Test Items
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