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Download full textTheophilus Ehidiamen Oamen; Ayodapo Oluwadare Jegede – Research in Pedagogy, 2024
Most student performance metrics are based on quantitative assessment from traditional test and examination scores. However, there is an apparent scarcity of exploratory qualitative studies to examine the characterization of traits, attitudes, and behaviors that may influence students' performance outcomes. Moreso because such characterization…
Descriptors: Pharmaceutical Education, Foreign Countries, Performance, Undergraduate Students
Peer reviewedCarey, Jane M.; Kacmar, Charles, J. – Computers in Human Behavior, 1997
It is often presumed that software technology will increase group productivity, but this may not be the case. Examines the impact of technology on time-to-complete-task, member satisfaction, perceived information load, number of contributing transactions, and task complexity. Three appendices provide examples of complex and simple tasks and the…
Descriptors: Difficulty Level, Discourse Modes, Group Behavior, Information Transfer
Peer reviewedScheuneman, Janice Dowd; Gerritz, Kalle – Journal of Educational Measurement, 1990
Differential item functioning (DIF) methodology for revealing sources of item difficulty and performance characteristics of different groups was explored. A total of 150 Scholastic Aptitude Test items and 132 Graduate Record Examination general test items were analyzed. DIF was evaluated for males and females and Blacks and Whites. (SLD)
Descriptors: Black Students, College Entrance Examinations, College Students, Comparative Testing
