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Cui, Ying; Guo, Qi; Leighton, Jacqueline P.; Chu, Man-Wai – International Journal of Testing, 2020
This study explores the use of the Adaptive Neuro-Fuzzy Inference System (ANFIS), a neuro-fuzzy approach, to analyze the log data of technology-based assessments to extract relevant features of student problem-solving processes, and develop and refine a set of fuzzy logic rules that could be used to interpret student performance. The log data that…
Descriptors: Inferences, Artificial Intelligence, Data Analysis, Computer Assisted Testing
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Klegeris, Andis; Hurren, Heather – Advances in Physiology Education, 2011
Problem-based learning (PBL) can be described as a learning environment where the problem drives the learning. This technique usually involves learning in small groups, which are supervised by tutors. It is becoming evident that PBL in a small-group setting has a robust positive effect on student learning and skills, including better…
Descriptors: Attendance, Problem Based Learning, Motivation, Problem Solving
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Barnett-Foster, Debora; Nagy, Philip – Alberta Journal of Educational Research, 1995
Analysis of response strategies employed by 261 undergraduate chemistry students when answering multiple-choice and stem-equivalent constructed-response questions revealed no significant differences in types of solution strategies or types of errors across test format. However, analysis of student oral reports revealed a higher frequency of…
Descriptors: Chemistry, Constructed Response, Educational Research, Educational Testing