Effects of Computer–Based Instructional Designs among Pupils of Different Music Intelligence Levels
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32799
Effects of Computer–Based Instructional Designs among Pupils of Different Music Intelligence Levels

Authors: Aldalalah, M. Osamah, Soon Fook Fong

Abstract:

The purpose of this study was to investigate the effects of computer–based instructional designs, namely modality and redundancy principles on the attitude and learning of music theory among primary pupils of different Music Intelligence levels. The lesson of music theory was developed in three different modes, audio and image (AI), text with image (TI) and audio with image and text (AIT). The independent variables were the three modes of courseware. The moderator variable was music intelligence. The dependent variables were the post test score. ANOVA was used to determine the significant differences of the pretest scores among the three groups. Analyses of covariance (ANCOVA) and Post hoc were carried out to examine the main effects as well as the interaction effects of the independent variables on the dependent variables. High music intelligence pupils performed significantly better than low music intelligence pupils in all the three treatment modes. The AI mode was found to help pupils with low music intelligence significantly more than the TI and AIT modes.

Keywords: Modality, Redundancy, Music theory, Cognitivetheory of multimedia learning, Cognitive load theory, Musicintelligence.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1082001

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1627

References:


[1] Nosir, S. (1980). Music theory. Egypt: Dar Alsabeel.
[2] Chew, D. (2005). Computer-assisted instruction for music theory education: Rhythm in music. PhD Thesis (Unpublished), California state university.
[3] Aldalalah, O. M. (2003). Educational software effects in learning musical concepts for class rooms teachers, students and their attitudes toward them. Master Thesis (Unpublished), Yarmouk University, Jordan.
[4] Smith, K. H. (2009). The effect of computer-assisted instruction and field independence on the development of rhythm sight-reading skills of middle school instrumental students. International Journal of Music Education, 27 (1), 59-68.
[5] Wilson, T. C. (2005). An implementation of a drill and practice system to assist in the teaching of basic music theory. Master Thesis (Unpublished), Brigham Young University.
[6] Mcvay, V. (2004). The effectiveness of color-coding for learning music theory rudiments, aural skills, and keyboard skills in persons aged in 60 and older. Ph.D Thesis (Unpublished), University of Kentucky.
[7] Guderian, L. (2008). Effects of applied music composition and improvisation assignments on sight-reading ability, learning in music theory and quality in soprano recorder playing. Ph.D Thesis (Unpublished), Northwestern University.
[8] Yagmor, K. & Aldalalah, O. (2007). How teachers grade students acquire basic skills necessary to teach songs of the three first and attitudes toward it. Valley South University Journal, 21(2), 17-32.
[9] Yagmor, K. (2007). Constructing a musical training program based on cognitive and music skills components for music students at Jordanian universities, and examining the importance of its applicability. Ph.D Thesis (Unpublished), Amman Arab University for graduate Studies, Jordan.
[10] Alwan, R. A. (2008). The difficulties facing music teacher in Jordan. Master Thesis (Unpublished), Yarmouk University, Jordan.
[11] Ramzy, S. & Alabdaly, B. (2005a). A strategy for teaching ear training courses for beginners through the use of computer programs. Journal of the Faculty of Musical Education, Helwan University, 12(3)23-36.
[12] Obidat, N. (2008). Fields of using musical computer programs in teaching music. Master Thesis (Unpublished), Yarmouk University, Jordan.
[13] Obidat, R. (2003). The effects of using computers in teaching music upon tenth graders achievement. Master Thesis (Unpublished), Yarmouk University, Jordan.
[14] Dyabat, B. (2007). The effect of a computerized musical program in the achievement of Tafila Technical University students for the musical principles and their attitudes towards the program. Ph.D Thesis (Unpublished), Jordanian University.
[15] Clark, J. M. & Mayer, R. (2008). E-learning and the science in instruction. San Francisco: Pfeiffer.
[16] Sweller, J. (1999). Instructional design in technical areas. The Australian Council for Educational Research Ltd, Camberwell.
[17] Mayer, R. E. (2001). Multimedia learning. New York, Cambridge university press.
[18] Seufert, T., Schu, M. & Nken, R. (2009). Memory characteristics and modality in multimedia learning: An aptitude treatment interaction study. Learning and Instruction, 19(1) 28-42.
[19] Cronbach, L. J. (1957). The two disciplines of scientific psychology. American Psychologist, (12), 671- 684.
[20] Cronbach L. J. & Snow, R. E. (1997). Aptitudes and instructional methods: A handbook for research on interactions, Irvington, New York.
[21] Swanson, J. H. (1990). The effectiveness of tutorial strategies: An empirical evaluation. Annual Conference of the American Educational Research Association, Boston, MA.
[22] Shute, V. J. & Towle, B. (2003). Adaptive E-learning. Educational Psychologist, 38(2), 105-114.
[23] Fong, S. F. (2000). The effect of animation on learning of procedural knowledge of meiosis among students with different psychological profiles. Ph.D Thesis (Unpublished), University Sains Malaysia. Penang.
[24] Moreno, R. & Mayer, R. E. (1999a). Cognitive principles of multimedia learning: The role of modality and contiguity. Journal of Educational Psychology, 91(2), 358-368.
[25] Mayer, R. E. & Moreno, R. (1998a). A split-attention effect in multimedia learning: evidence for dual processing system in working memory. Journal of educational psychology, 90(2) 312- 320.
[26] Alherish, A., Aldalalah, O. & Alababneh, Z. (2005). Effects of the differences of the symbolic system in instructional software on third grade students- achievement in sciences Journal of Education Psychological Sciences, 6 (4), 13- 34.
[27] Mayer, R. E. (2010). Merlin c. Wittrock-s enduring contributions to the science of learning. Educational Psychologist, 45(1), 46-50.
[28] Harskamp, G. E., Mayer R. E. & Suhre, C. (2007). Does the modality principle for multimedia learning apply to science classrooms?. Learning and Instruction, 17 (5), 465-477.
[29] Aldalalah, O. & Fong, S. F. (2008). Effects of modality principles among Jordanian students. 2nd International Malaysian Educational Technology Convention, 5-7 November 2008, Kuantan, Malaysia. Malaysia: Malaysian Educational Technology Association.
[30] Wouters, P., Paas, F., Jeroen, J. & Merrienboer, V. (2009). Observational learning from animated models: Effects of modality and reflection on transfer. Contemporary Educational Psychology, 34(1), 1- 8.
[31] Moreno, R. (2006). Does the modality principle hold for different media? A test of the method affects learning hypothesis. Journal of Computer Assisted Learning, 22(3), 149-158.
[32] Sweller, J. (2005). The redundancy principle in multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning. Cambridge: Cambridge University Press.
[33] Chandler, P. & Sweller, J. (1991). Cognitive load theory and the format of instruction. Cognition and Instruction, 8(4), 293-332.
[34] Sweller, J. & Chandler. (1994). Why some materials are difficult to learn, Cognition and Instruction, 12(3), 185-233.
[35] Sweller, J., Paas, F. & Renkl, A. (2003). Cognitive load theory and instructional design: recent developments. Educational Psychologist,38 (1), 1-4
[36] Kalyuga, S., Chandler, P. & Sweller, J. (2004). When redundant onscreen text in multimedia technical instruction can interfere with learning. Human Factors, 46 (3), 567-581.
[37] Sweller, J. (2006). Discussion of emerging topics in cognitive load research: Using learner and information characteristics in the design of powerful learning environments. Applied Cognitive Psychology, 20(2), 353-357.
[38] Diao, Y. & Sweller, J. (2007). Redundancy in foreign language reading comprehension instruction: Concurrent written and spoken presentations. Learning and Instruction, 17(1), 78-88.
[39] Moreno, R. & Mayer, R. E. (2002b). Verbal redundancy in multimedia learning: when reading helps listening, Journal of Educational Psychology, 94 (1), 156-163.
[40] Kalyuga, S., Chandler, P. & Sweller, J. (1999). Managing split-attention and redundancy in multimedia instruction. Applied Cognitive Psychology, 13(4), 351-357.
[41] Mayer, R. E. (2005). Cognitive theory of multimedia learning. In R. E. Mayer (Ed.), Cambridge handbook of multimedia learning (pp. 31 - 48). New York: Cambridge University Press.
[42] Moreno, R. & Mayer, R. E. (2000). A coherence effect in multimedia learning: The case for minimizing irrelevant sounds in the design of multimedia instructional messages. Journal of Educational Psychology, 92(1), 117-125.
[43] Mayer, R. E. & Moreno, R. (1997). A cognitive theory of multimedia learning: Implications for design principles: Wiley, New York.
[44] Clark, R. C. & Mayer, R. E. (2003a). E-Learning and the science of instruction: Pfeiffer San Francisco.
[45] Muthukumar S. L. (2005). Creating interactive multimedia-based educational courseware: cognition in learning. Springer-Verlag 7(1), 46- 50.
[46] Sorden S. D. (2005). A cognitive approach to instructional design for multimedia learning. Information Science Journal, 8(1), 263-279.
[47] Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. New York: Basic Books.
[48] Gardner, H. (2000). Project Ero: Nelson Goodman-s legacy in arts education. Journal of Aesthetics and Art Criticism, 58(3), 245-249.
[49] Gardner, H. (2004). Audiences for the theory of multiple intelligence. Teacher College Record. 106(1), 212-220. Columbia University.
[50] Al-Ahdal, A. (2009). The efficiency of activities and approaches based on the multi-intelligence theory in improving the achievement of Geography and maintaining the learning effect among first year secondary students in Jeddah Province. Journal of Science Education and Human, 1 (1), 191-242.
[51] Gardner, H. (2003). Multiple intelligences after twenty years. Paper presented at the American Educational Research Association, Chicago, Illinois.
[52] Afanan, I. & Akzndar, N. (2004). Multi intelligence levels among basic education students stage in Gaza and their relationship to achievement in mathematics and orientation towards. Humanists Studies Journal, 12 (2), 323-366.
[53] Dobbs, V. R. (2001). The relationship between implementation of the multiple intelligences theory in the curriculum and student academic achievement at a seventh - grade at-risk alternative school. Ph.D Thesis (Unpublished), Yarmouk University, Jordan.
[54] Lamar, H. B. (1989). An examination of congruency of musical aptitude scores and mathematics and reading achievement scores of elementary children. Ph.D Thesis (Unpublished), University of Southern Mississippi.
[55] Johnson, D. A. (2000). The development of music aptitude and effects on scholastic achievement of 8 to 12 year olds. Ph.D Thesis (Unpublished), Kentucky: University of Louisville.
[56] Luiz, C. S. (2007). The learning of music as a means to improve mathematical skills. International Symposium on Performance Science Published by the AECAll rights reserved.
[57] Gouzouasis, P., Guhn, M. & Kishor, N. (2007). The name assigned to the document by the author. This field may also contain sub-titles, series names, and report numbers. the predictive relationship between achievement and participation in music and achievement in core grade 12 academic subjects. Music Education Research, 9 (1), 81-92.
[58] Khalil, A. (2005). Science of creativity (online). (Accessed 3 April 2009). Available from the World Wide Web: http://www.adabfalasteeni.org/artical.php.
[59] Hussein, Z. M. (2008). Pattern of Thinking Music Students. PhD Thesis (Unpublished), Gulf University.
[60] Christopher, J. M. & Memmott, J. E. (2006). Examination of relationships between participation in school music programs of differing quality and standardized test results. Journal of Research in Music Education, 54(4), 293-307.
[61] Babo, D. G. (2004). The relationship between instrumental music participation and standardized assessment achievement of middle school students. Research Studies in Music Education, 22 (1), 14-27.
[62] Gur, C. (2009). Is there any positive effect of classical music on cognitive content of drawings of six year-old children in Turkey?. European Journal of Scientific Research, 36(2), 251-259.
[63] Omari, M., Alhersh, A., Aldalalah, O. & Ababneh, Z. (2010) Effect drill and practice pattern in mathematics among first-grade students, compared with music anthems, and traditional way. Journal of Science Education and Human (Umm al-Qura University).21 (1). (in pres)
[64] Chan, W. D. (2007). Musical aptitude and multiple intelligences among Chinese gifted students in Hong Kong: Do self-perceptions predict abilities?. Personality and Individual Differences, 43(6), 1604-1615.
[65] Gay, L. R. & Airasian, P. W. (2003). Educational research: Competencies for analysis and application (7th ed): Prentice Hall.
[66] Gay, L. R. & Airasian, P. (2000). Educational research: Competencies for analysis and application (6th ed.). Upper Saddle River, NJ: Merrill.
[67] Al-Drais, S. (2008). Multiple intelligences assist primary students who have academic difficulties. Master Thesis (Unpublished), Kuwait University.