
Mona Listen: A Web-Based Ear Training Module for Musical Pitch Discrimination of Melodic Intervals
PROCEEDINGS
Christian Loh, Southern Illinois University Carbondale, United States
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Washington, DC, USA ISBN 978-1-880094-54-9 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA
Abstract
This study investigated the effects of Web-based pitch discrimination training on college music students' achievement in melodic interval discrimination. Mona Listen, a Web-based learning module for pitch discrimination, was developed as a training and data collection tool for the study. Practice records, participants' feedback, and achievement scores of pretest, posttest and follow-up posttest served as the data for a repeated measure design study. Data analyses were conducted using t-test and analysis of variance. Focus-group interview provided additional data not collected with the online instrument. The findings of the study indicated that: (a) Web-based pitch discrimination training had an overall positive effect on achievement in melodic interval discrimination, and (b) the amount of time spent was not a good predictor of achievement due to other possible underlying factors.
Citation
Loh, C. (2004). Mona Listen: A Web-Based Ear Training Module for Musical Pitch Discrimination of Melodic Intervals. In J. Nall & R. Robson (Eds.), Proceedings of E-Learn 2004--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 2026-2032). Washington, DC, USA: Association for the Advancement of Computing in Education (AACE). Retrieved March 6, 2021 from https://www.learntechlib.org/primary/p/11620/.
© 2004 Association for the Advancement of Computing in Education (AACE)
Keywords
References
View References & Citations Map- Arnone, M.P., & Small, R.V. (1999). Evaluating the motivational effectiveness of children's Websites. Educational Technology, 39(2), 51-55.
- Bauer, W.I. (1994). The relationships among elements of learning style, mode of instruction, and achievement of college music appreciation students. Unpublished Doctoral Dissertation, Kent State University, Kent, Ohio.
- Bowman, J.A. (1984). An investigation of two methods of preparation for college level music theory. Unpublished Doctoral Dissertation, University of Rochester, Eastman School of Music, New York.
- Bowyer, D.W. (2000). A new approach to computer-assisted instruction in music theory for elementary and middle schoolchildren. Unpublished Doctoral Dissertation, University of Northern Colorado, Greeley, CO.
- Burns, E.M., & Ward, W.D. (1982). Intervals, scales, and tuning. In D. Deutsch (Ed.), The psychology of music (1st ed., pp. 241-269). New York: Academic Press, Inc.
- Coffman, D.D. (2000). Adult education. In R. Colwell& C. Richardson (Eds.), The new handbook of research on music teaching and learning: A project of the Music Educators National Conference (pp. 1222). New
- Deihl, N.C. (1971). Computer-assisted instruction and instrumental music: Implications for teaching and research. Journal of Research in Music Education, 19, 299-306.
- Eddins, J. (1981). A brief history of computer assisted instructions in music. College Music Symposium, 21(2), 7-14.
- Fortney, P.M. (1993). Learning style and music instruction via an interactive audio CD-ROM: An exploratory study. Unpublished Doctoral Dissertation, University of Miami, Miami, FL.
- Heritage, R.A. (1986). A study of the effect of selected environment and instructional factors on the aural skill achievement of college music majors. Unpublished Doctoral Dissertation, The University of South Mississippi, Hattiesburg, Mississippi.
- Hess, G. (1994). Dictation tutor: The effectiveness of a curriculum-specific tutorial in the acquisition of aural discrimination skills at the college level. Unpublished Doctoral Dissertation, University of Northern Colorado, Greeley, CO.
- Hess, G. (1995). A model for the effective use of computer-assisted instruction for ear training. Paper presented at the The Second International Technological Directions in Music Learning Conference, San Antonio, TX.
- Hofstetter, F.L. (1978). Instructional design and curricular impact of computer-based music instruction. Educational Technology, 18, 50-53.
- Hofstetter, F.T. (1975). GUIDO: An interactive computer-based system for improvement of instruction and research in ear-training. Journal of Computer-Based Instruction, 1, 40-42.
- Hofstetter, F.T. (1985). Perspectives on a decade of computer-based instruction, 1974-1984. Journal of ComputerBased Instruction, 12, 1-7.
- Kemmis, S., Atkin, R., & Wright, E. (1997). How do students learn? Norwich: University of East Anglia.
- Khan, B.H. (1997). Web-Based Instruction (WBI): What is it and why is it? In B.H. Khan (Ed.), Web-Based Instruction (pp. 5-18). Englewood Cliff, NJ: Educational Technology Publications.
- Killam, R.N. (1984). An effective computer-assisted learning environment for aural skill development. Music Theory Spectrum, 6, 52-62.
- Killam, R.N., Lorton, P.V., & Schubert, E.D. (1975). Interval recognition: Identification of harmonic and melodic intervals. Journal of Music Theory, 19(2), 212-234.
- Kraft, L. (1967). A new approach to ear training; a self-instruction program (1st ed.). New York: W.W. Norton.
- Kuhn, W.E., & Allvin, R.L. (1967). Computer-assisted teaching: A new approach to research in music. Journal of Research in Music Education, 15, 305-315.
- Lake, W.E. (2002). Technology for teaching and learning. In J.D. White (Ed.), Guidelines for college teaching of music theory (2nd ed., pp. 227). Lanham, MD: Scarecrow Press.
- Loh, C.S., & Williams, M.D. (2002). "What's in a Website?" — Students' perception. Journal of Research on Technology in Education, 34(3), 351-363.
- Morrison, S.J. (2000). Effect of melodic context, tuning behaviors, and experience on the intonation accuracy of wind players. Journal of Research in Music Education, 48(1), 39-51.
- Ozeas, N.L. (1991). The effect of the use of a computer assisted drill program on the aural skill development of students in beginning solfege. Unpublished Doctoral Dissertation, University of Pittsburgh.
- Peters, G.D., & Beiley, B.L. (1995). Teaching tools in music. Medford, N.J.: Learned Information, Inc.
- Sloboda, J., & Davidson, J. (1996). The young performing musician. In I. Deliege & J. Sloboda (Eds.), Musical beginnings: Origins and development of musical competence (pp. 171-190). Oxford: Oxford University
- Taylor, J.A. (1982). The MEDICI melodic dictation computer program: Its design, management, and effectiveness as compared to classroom melodic dictation. Journal of Computer-Based Instruction, 9, 64-73.
- Taylor, R.P. (1980). The computer in the school: Tutor, tool, tutee. New York: Teachers College Press.
- Thalheimer, W., & Cook, S. (2002, August). How to calculate effect sizes from published research articles: A simplified methodology. Retrieved March 18, 2004, from http://work-learning.com/effect_sizes.htm
- White, J.D. (2002). Guidelines for college teaching of music theory (2nd ed.). Lanham, Maryland: Scarecrow Press, Inc.
- Wittlich, G. (1987). Computer applications: Pedagogy. Music Theory Spectrum, 11(1), 60-65.
- Worthington, T.G., & Szabo, M. (1995, February). Interactivity in computer-based aural skills instruction: A research study. Paper presented at the Annual meeting of the Association for Educational Communications and Technology, Anaheim, CA.
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