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Demand for Multimedia in the Classroom

Published online by Cambridge University Press:  26 January 2015

Tracy A. Boyer
Affiliation:
Agricultural Economics, Oklahoma State University, Stillwater, OK
Brian C. Briggeman
Affiliation:
Federal Reserve Bank of Kansas City, Omaha Branch, Omaha, NE
F. Bailey Norwood
Affiliation:
Agricultural Economics, Oklahoma State University, Stillwater, OK

Abstract

This study elicits preferences for multimedia in the classroom for students and faculty members in agricultural economics. Employing an Internet-based conjoint ranking survey, the results show that students prefer multimedia instructional tools over a traditional chalkboard/whiteboard lecture format while faculty members do not. Neither students nor faculty members are enthusiastic about electronic textbooks, and students will accept them only if they save $80. Finally, preferences for multimedia are shown to differ with students who self-report differing note-taking abilities, preferences for chalkboard lectures, and the need for an engaging class. Successful multimedia adoption requires appropriate use and lowering costs for students.

Type
Research Article
Copyright
Copyright © Southern Agricultural Economics Association 2009

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References

Barnett, B.J., and Kriesel., W.Agricultural Economists' Use of Classroom Economic Experiments.Journal of Agricultural and Applied Economics 35(2003):321–35.Google Scholar
Becker, W.W., and Watts., M.Teaching Economics at the Start of the 21st Century: Still Chalk and Talk.New Research in Economic Education 91(2001):446–51.Google Scholar
Boyer, T., and Hickman., K.R.Do High School Study Habits Matter for First-Semester College Performance? Predicting Success Using Various Measures of Academic Preparation.Journal of North American College Teachers of Agriculture Journal 51(2007):5055.Google Scholar
Carlson, S.The Next Generation Goes to College.” The Chronicle of Higher Education 52(2005): A34.Google Scholar
Carnevale, D.Run a Class Like a Game Show: “Clickers” Keep Students Involved.The Chronicle of Higher Education 51(2005):1.Google Scholar
Dahlgran, R.A.Teaching Innovations in Agricultural Economics: An Economic Approach.American Journal of Agricultural Economics 72(1990):873–82.Google Scholar
Dubas, K.M., and Mummalaneni., V.Self-Explicated and Full-Profile Conjoint Methods for Designing Customer-Focused Courses.Marketing Education Review 7(2007):3548.Google Scholar
Engle, R.L.Digital Multimedia and the Teaching of Cross-Cultural Business Practices.” International Business Research, Teaching and Practice 1(2007):8796.Google Scholar
Fleming, J.Who Will Succeed in College? When the SAT predicts Black Students' Performance.Review of Higher Education 25(2002):281–96.Google Scholar
Fleming, J., and Garcia., N.Are Standardized Tests Fair to African Americans? Predictive Validity of the SAT in Black and White Institutions.The Journal of Higher Education 25(1998):281–96.Google Scholar
Fleming, R.A., Bazen, E.F., and Wetzstein., M.E.Measuring the Impact of Externalities on College of Agriculture Teaching Evaluations.Journal of Agricultural and Applied Economics 37,3(2005):635–45.Google Scholar
French, D.P.I Pods: Informative or Invasive?Journal of College Science Teaching 36(2006): 5859.Google Scholar
Government Accountability OfficeCollege Textbooks: Enhanced Offerings Appear to Drive Recent Price Increases.” Report to Congressional Requesters GAO; 05–906 (2005). Internet site: http://www.gao.gov/new.items/d05806.pdf (Accessed January 28, 2009).Google Scholar
Harackiewicz, J.M., Barron, K.E., Tauer, J.M., and Elliot., A.J.Predicting Success in College: A Longitudinal Study of Achievement Goals and Ability Measures as Predictors of Interest and Performance from Freshman Year through Graduation.Journal of Educational Psychology 94(2002):562–75.Google Scholar
Kennedy, P.E.Using Monte Carlo Studies for Teaching Econometrics.” Teaching Undergraduate Economics: Alternatives to Chalk and Talk. Becker, W.E. and Watts, M., eds. Aldershot, U.K.: Edward Elgar, 1998.Google Scholar
Kozma, R.B., and Russell., J.Multimedia and Understanding Expert and Novice Responses to Different Representations of Chemical Phenomena.Journal of Research in Science Teaching 34(1997):949–68.Google Scholar
Lipka, S.Experts Discuss Textbook Costs.” The Chronicle of Higher Education 53,41(2007): A39.Google Scholar
Louviere, J.J., Hensher, D.A., and Swait., J.D. Stated Choice Methods: Analysis and Application. Cambridge: Cambridge University Press, 2000.Google Scholar
Lusk, J.L., and Norwood., F.B.Effect of Experimental Design on Choice-based Conjoint Valuation Estimates.American Journal of Agricultural Economics 87(2005):771–85.CrossRefGoogle Scholar
Mark, D.R., Lusk, J.L., and Daniel., M.S.Recruiting Agricultural Economics Graduate Students: Student Demand for Program Attributes.American Journal of Agricultural Economics 86(2004): 175–84.Google Scholar
Mayer, R.E. Multimedia Learning. Cambridge: Cambridge University Press, 2001.Google Scholar
Murray, M.P.Econometrics Lectures in a Computer Classroom.The Journal of Economic Education 30(1999):308–21.Google Scholar
Nelson, R.G., and Beil, R.O. Jr.A Classroom Experiment on Oligopolies.Journal of Agricultural and Applied Economics 27(1995): 263–75.Google Scholar
Nelson, R.G., and Beil, R.O. Jr.When Self Interest is Self-Defeating: The Public Goods Experiment as a Teaching Tool.Journal of Agricultural and Applied Economics 26(1994):580–90.Google Scholar
Nelson, R.G., and Wilson, N.L.W.“It's for Teaching, not Believing”: Comments on Teaching, Learning and Problem Solving Through Economic Experiments.Journal of Agricultural and Applied Economics 35(2003): 361–70.Google Scholar
Nowaczyk, R.H., Santos, L.T., and Patton., C.Student Perception of Multimedia in the Classroom.International Journal of Instructional Media 25(1998):367–82.Google Scholar
Pew Research CenterHow Young People View Their Lives, Futures, and Politics: A Portrait of “Generation Next.” Pew Research Center Report (January 9, 2007). Internet site: http://people-press.org/reports/pdf/300.pdf (Accessed February 6, 2009).Google Scholar
Reay, N.W., Li, P., and Bao., L.Testing a New Voting Machine Question Methodology.American Journal of Physics 76(2008): 171–78.CrossRefGoogle Scholar
Stone, L.Multimedia Instruction Methods.The Journal of Economic Education 30(1999):265–75.Google Scholar
Taylor, M.L.Generation Next Comes to College: 2006 Updates and Emerging Issues.” A Collection of Papers on Self-Study and Institutional Improvement, Volume 2. Chicago, IL: The Higher Learning Commission, 2006.Google Scholar
Trees, A.R., and Jackson., M.The Learning Environment in Clicker Classrooms: Student Processes of Learning and Involvement in Large University-Level Courses Using Student Response Systems.Learning, Media and Technology 32(2007):2140.Google Scholar