Abstract/Details

Classroom response systems: Using task technology fit to explore impact potential


2010 2010

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Abstract (summary)

The primary purpose of this study is to determine how students are impacted by the use of Classroom Response System (CRS) technology. This research explores the nature of the outcomes experienced by students and their perceptions on the leading pedagogy and practices for using CRS technology in the classroom. The research is both quantitative and qualitative in nature. Using the Task-Technology Fit (Goodhue and Thompson 1995) theoretical model and Kirkpatrick's four-level model (Kirkpatrick 1996) to define outcomes, this study employs a quasi-experimental design with two large Information Systems classes over the course of a semester. One class, the Treatment Group, used CRS technology and the other, the Control Group, did not. Data collected from this quasi-experiment were analyzed for patterns using Multivariate Adaptive Regression Splines (MARS), a data mining technique, used to profile types of students based on their experienced outcomes, personality, and levels of perceived fit. Follow-on qualitative discussions with students provided insight to student perceptions about CRS technology use. Findings from the study suggest that automated CRS technology produces different outcomes for students than analog response systems, based on both the student’s personality profile and their level of perceived fit. Suggestions for future research are also presented.

Indexing (details)


Subject
Information Technology;
Adult education;
Educational technology
Classification
0489: Information Technology
0516: Adult education
0710: Educational technology
Identifier / keyword
Education; Applied sciences; CRS; Classroom response systems; Clickers; MARS; TTF; Task-technology fit
Title
Classroom response systems: Using task technology fit to explore impact potential
Author
Jones, Kenneth D., II
Number of pages
149
Publication year
2010
Degree date
2010
School code
1283
Source
DAI-B 72/02, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9781124385310
Advisor
Clark, Jan G.; Fies, Carmen H.
Committee member
Clark, Jan; Dietrich, Glenn; Fies, Carmen; Ko, Myung
University/institution
The University of Texas at San Antonio
Department
Information Systems & Technology Management
University location
United States -- Texas
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3433213
ProQuest document ID
835066039
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/835066039
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