Active blended learning management in music subject based on the hybrid learning framework for primary 4 students at Ban Nong Du School,  Thawat Buri District, Roi Et Province

Kamonchanok Kaewsrisai

doi:10.21744/lingcure.v6nS2.2073

Authors

Kamonchanok Kaewsrisai
p.p.rukna16@gmail.com
Practitioner Level, Ban Nong Du School, Roi Et Primary Education Service Office Area 1, Thailand

Keywords:

active blended, hybrid learning, learning management, music subject, students

Abstract

The objectives of this research were 1) to develop an active blended learning management plan in Music subject based on the hybrid learning framework to be effective according to 80/80 criteria, 2) to compare the students' academic achievement between pretest and posttest periods, and 3) to study the satisfaction of students towards the active blended learning management in music subject based on the hybrid learning framework. The target group of this research was the 14 primary 4 students of Ban Nong Du School. Thawat Buri District, Roi Et Province in semester 1, academic year 2021, which was selected from purposive sampling. The research instruments were: 1) the index of conformity (IOC) of the music learning management plan according to the hybrid learning framework was 0.87. This showed that experts are of the opinion that an effective learning management plan can be implemented. 2) The achievement test was a 30-item, four-choice test. The test had a difficulty and power value classified between 0.41-0.60, which was appropriate and could be tested. 3) A questionnaire on the satisfaction of students towards active blended learning management in music subject based on the hybrid learning framework consisted of 15 items.

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References

Agatston, P. W., Kowalski, R., & Limber, S. (2007). Students’ perspectives on cyber bullying. Journal of Adolescent Health, 41(6), S59-S60. https://doi.org/10.1016/j.jadohealth.2007.09.003

Appiah, W. A., Park, J., Van Khue, L., Lee, Y., Choi, J., Ryou, M. H., & Lee, Y. M. (2016). Comparative study on experiments and simulation of blended cathode active materials for lithium ion batteries. Electrochimica Acta, 187, 422-432. https://doi.org/10.1016/j.electacta.2015.11.029

Brown, J. W. (1985). time. References Brown, James W. and Richard B. Lewis (ed.) AV Instructional Technology Manual for Independent Study. Fifth edi-tion. New York: McGraw-Hill Book Co., 1977. Basic Ways to Teach in the 80's, 113.

Chantem, S. (2010). Hybrid Learning and Educational Innovation of Accounting Teaching in the 21st Century: A Case Study of the University of the Thai Chamber of Commerce. University of the Thai Chamber of Commerce Journal, 30(1).

Collins-Brown, E. (2006). Aspects of online courses that are more effective and successful than traditional, face-to-face courses. Illinois State University.

Ding, L., Fang, W., Luo, H., Love, P. E., Zhong, B., & Ouyang, X. (2018). A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory. Automation in construction, 86, 118-124. https://doi.org/10.1016/j.autcon.2017.11.002

Erdogan, A., & Sahin, I. (2010). Relationship between math teacher candidates’ technological pedagogical and content knowledge (TPACK) and achievement levels. Procedia-Social and Behavioral Sciences, 2(2), 2707-2711.

Garg, A. X., Norman, G., & Sperotable, L. (2001). How medical students learn spatial anatomy. The lancet, 357(9253), 363-364. https://doi.org/10.1016/S0140-6736(00)03649-7

Hamel, W. J. (2001). The effects of music intervention on anxiety in the patient waiting for cardiac catheterization. Intensive and critical care nursing, 17(5), 279-285. https://doi.org/10.1054/iccn.2001.1594

Harrer, G., & Harrer, H. (1977). Music, emotion and autonomic function. In Music and the Brain (pp. 202-216). Butterworth-Heinemann. https://doi.org/10.1016/B978-0-433-06703-0.50019-X

Lonn, S., & Teasley, S. D. (2009). Saving time or innovating practice: Investigating perceptions and uses of Learning Management Systems. Computers & education, 53(3), 686-694. https://doi.org/10.1016/j.compedu.2009.04.008

Mantra, I. B. N., Kusuma, I. N. W., Suarka, I. N., & Putra, I. B. R. (2016). Exploring the educational values of oral texts of balinese oral tradition. International Journal of Linguistics, Literature and Culture, 2(2), 141-146. Retrieved from https://sloap.org/journals/index.php/ijllc/article/view/102

Mawan, I. G. (2021). Neo nolin “genre” new music. International Journal of Linguistics, Literature and Culture, 7(3), 163-171. https://doi.org/10.21744/ijllc.v7n3.1569

McGill, T. J., & Klobas, J. E. (2009). A task–technology fit view of learning management system impact. Computers & Education, 52(2), 496-508. https://doi.org/10.1016/j.compedu.2008.10.002

Office of the Education Council Secretariat. (2017). National Education Plan 2017-2036. Bangkok: Pepliwan Graphic.

Ohanezova-Hryhorenko, O. V., Povzun, L. I., Khoroshavina, O. A., Fedchun, T. O., & Yerhiieva, K. I. (2021). Artistic and conceptual tasks of a musician in solo and ensemble performance. Linguistics and Culture Review, 5(S2), 774-784. https://doi.org/10.21744/lingcure.v5nS2.1419

Rinartha, K., & Suryasa, W. (2017). Comparative study for better result on query suggestion of article searching with MySQL pattern matching and Jaccard similarity. In 2017 5th International Conference on Cyber and IT Service Management (CITSM) (pp. 1-4). IEEE.

Rolinska, H. H. (2021). Using project method for the purpose of educating future music teachers. Linguistics and Culture Review, 5(S2), 387-400. https://doi.org/10.21744/lingcure.v5nS2.1361

Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational researcher, 15(2), 4-14.

Wong, Y. Z. (2021). Written, scratch and spelling languages. Macrolinguistics and Microlinguistics, 2(1), 51–65. Retrieved from https://mami.nyc/index.php/journal/article/view/15

Yan, Z., Wei, C., & Obrovac, M. N. (2019). Understanding interfacial impedance growth in porous electrodes containing blended active materials. Journal of Power Sources, 438, 226955. https://doi.org/10.1016/j.jpowsour.2019.226955

Zhao, Z. Q., & Huang, D. S. (2007). A mended hybrid learning algorithm for radial basis function neural networks to improve generalization capability. Applied Mathematical Modelling, 31(7), 1271-1281. https://doi.org/10.1016/j.apm.2006.04.014