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Attitudes toward learning oral communication skills online: the importance of intrinsic interest and student-instructor differences

Citation

Harris, KM and Phelan, L and McBain, B and Archer, J and Drew, AJ and James, C, Attitudes toward learning oral communication skills online: the importance of intrinsic interest and student-instructor differences, Educational Technology Research and Development, 64 pp. 591-609. ISSN 1042-1629 (2016) [Refereed Article]

Copyright Statement

Copyright Association for Educational Communications and Technology 2016

DOI: doi:10.1007/s11423-016-9435-8

Abstract

This study examined and compared attitudes of both students and instructors, motivated by an interest in improving the development and delivery of online oral communication learning (OOCL). Few studies have compared student and instructor attitudes toward learning technologies, and no known studies have conducted item response theory (IRT) analyses on these factors. Two independent and anonymous surveys resulted in 255 participants (124 university students, and 131 instructors). Exploratory factor analyses produced final item sets and a two-factor model for student attitudes (Technology Self-efficacy [TSE], and Positive Attitudes [PA]), and a three-factor model for instructors (TSE, Behavioral Intentions, and PA). The OOCL attitude factors showed strong validity through both IRT and classical test theory analyses. Comparisons between students and instructors showed students generally had higher TSE and more positive attitudes towards OOCL. The attitudes most relevant to OOCL were intrinsic interest, behavioral intentions, and perceived usefulness of the technology. This study revealed that technological self-efficacy may be useful for differentiating students and instructors, but not for assessing OOCL attitudes. Further development in this field could focus on the improvement of instructorsí attitudes and skills, as well as exploring the role of intrinsic interest.

Item Details

Item Type:Refereed Article
Keywords:Assessment Computer assisted Distance learning Psychometrics Technology acceptance model
Research Division:Education
Research Group:Specialist studies in education
Research Field:Educational technology and computing
Objective Division:Education and Training
Objective Group:Teaching and curriculum
Objective Field:Teaching and instruction technologies
UTAS Author:Harris, KM (Dr Keith Harris)
ID Code:110311
Year Published:2016
Web of Science® Times Cited:5
Deposited By:Medicine
Deposited On:2016-07-24
Last Modified:2018-04-05
Downloads:0

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