Literature DB >> 18697663

Research Methods Tutor: evaluation of a dialogue-based tutoring system in the classroom.

Elizabeth Arnott1, Peter Hastings, David Allbritton.   

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 nonequivalent control group design. Students in three classes (n = 83) used RMT, and students in two classes (n = 53) did not use RMT. Results indicated that the use of RMT yieldedstrong learning gains of 0.75 standard deviations above classroom instruction alone. Further, the dialogue-based tutoring condition of the system resulted in higher gains than did the textbook-style condition (CAI version) of the system. Future directions for RMT include the addition of new topics and tutoring elements.

Mesh:

Year:  2008        PMID: 18697663     DOI: 10.3758/brm.40.3.694

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  5 in total

1.  Active engagement in a web-based tutorial to prevent obesity grounded in Fuzzy-Trace Theory predicts higher knowledge and gist comprehension.

Authors:  Priscila G Brust-Renck; Valerie F Reyna; Evan A Wilhelms; Christopher R Wolfe; Colin L Widmer; Elizabeth M Cedillos-Whynott; A Kate Morant
Journal:  Behav Res Methods       Date:  2017-08

2.  The development and analysis of tutorial dialogues in AutoTutor Lite.

Authors:  Christopher R Wolfe; Colin L Widmer; Valerie F Reyna; Xiangen Hu; Elizabeth M Cedillos; Christopher R Fisher; Priscilla G Brust-Renck; Triana C Williams; Isabella Damas Vannucchi; Audrey M Weil
Journal:  Behav Res Methods       Date:  2013-09

Review 3.  Interventions to prevent misconduct and promote integrity in research and publication.

Authors:  Ana Marusic; Elizabeth Wager; Ana Utrobicic; Hannah R Rothstein; Dario Sambunjak
Journal:  Cochrane Database Syst Rev       Date:  2016-04-04

4.  A signal detection analysis of gist-based discrimination of genetic breast cancer risk.

Authors:  Christopher R Fisher; Christopher R Wolfe; Valerie F Reyna; Colin L Widmer; Elizabeth M Cedillos; Priscilla G Brust-Renck
Journal:  Behav Res Methods       Date:  2013-09

5.  An e-learning reproductive health module to support improved student learning and interaction: a prospective interventional study at a medical school in Egypt.

Authors:  Rehab Abdelhai; Sahar Yassin; Mohamad F Ahmad; Uno G H Fors
Journal:  BMC Med Educ       Date:  2012-03-20       Impact factor: 2.463

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.