Research Methods Tutor: Evaluation of a dialogue-based tutoring system in the classroom
Elizabeth Arnott, Peter Hastings, and David Allbritton. Research Methods Tutor: Evaluation of a dialogue-based tutoring system in the classroom. Behavior Research Methods, 40(3):694–698, Psychonomics Society Publications, 2008.
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Abstract
Research Methods Tutor (RMT) is a dialogue-based intelligent tutoring system for use in conjunction with undergraduate psychology research methods courses. RMT includes five topics that correspond to the curriculum of introductory research methods courses: ethics, variables, reliability, validity, and experimental design. We evaluated the effectiveness of the RMT system in the classroom using a non-equivalent control group design. Students in three classes (n = 73) used RMT, and students in two classes (n = 52) did not use RMT. Results indicated that the use of RMT yielded strong learning gains of .71 SD above classroom instruction alone. Further, the dialogue-based tutoring condition of the system resulted in higher gains than the textbook-style condition (CAI version) of the system. Future directions for RMT include the addition of new topics and tutoring elements.
BibTeX
@ARTICLE{Arnott:brm2008, author = name:epd, title = {Research Methods Tutor: Evaluation of a dialogue-based tutoring system in the classroom}, journal = {Behavior Research Methods}, year = {2008}, publisher = {Psychonomics Society Publications}, volume = {40}, number = {3}, pages = {694--698}, cvnote = {Impact factor = 2.458, g-index = 175}, abstract = {Research Methods Tutor (RMT) is a dialogue-based intelligent tutoring system for use in conjunction with undergraduate psychology research methods courses. RMT includes five topics that correspond to the curriculum of introductory research methods courses: ethics, variables, reliability, validity, and experimental design. We evaluated the effectiveness of the RMT system in the classroom using a non-equivalent control group design. Students in three classes (n = 73) used RMT, and students in two classes (n = 52) did not use RMT. Results indicated that the use of RMT yielded strong learning gains of .71 SD above classroom instruction alone. Further, the dialogue-based tutoring condition of the system resulted in higher gains than the textbook-style condition (CAI version) of the system. Future directions for RMT include the addition of new topics and tutoring elements.} }