Research Article
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Year 2024, , 464 - 473, 31.07.2024
https://doi.org/10.24106/kefdergi.1525362

Abstract

References

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  • Cung, B., Xu D., & Eichhorn, S. (2018). Increasing interpersonal interactions in an online course: Does increased instructor email activity and voluntary meeting time in a physical classroom facilitate student learning?. Online Learning, 22(3), 193-215. https://doi.org/10.24059/olj.v22i3.1322
  • Demosthenous, G., Panaoura, A., & Eteokleous, N. (2020). The use of collaborative assignment in online learning environments: The case of higher education. International Journal of Technology in Education and Science, 4(2), 108-117. https://doi.org/10.46328/ijtes.v4i2.43
  • Doğru, O. (2020). An investigation of pre-service visual arts teachers' perceptions of computer self-efficacy and attitudes towards web-based instruction. International Journal of Research in Education and Science, 6(4), 629-637. https://doi.org/10.46328/ijres.v6i4.1454
  • Dziuban, C., Moskal, P., Thompson, J., Kramer, L., DeCantis, G., & Hermsdorfer, A. (2015). Student satisfaction with online learning: Is it a psychological contract?. Online Learning, 19(2), 1-15.
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  • Hiltz, S.R. (1995). Impacts of college-level courses via asynchronous learning networks: Focus on students. Journal of Asynchronous Learning Network, 1(2), 1-19. https://doi.org/10.24059/olj.v1i2.1934
  • Hu, H., & Huang, F. (2021). Application of universal design for learning into remote English education in Australia amid COVID-19 pandemic. International Journal on Studies in Education, 4(1), 55-69. https://doi.org/10.46328/ijonse.59
  • Huda, M., Maseleno, A., Atmotiyoso, P., Siregar, M., Ahmad, R., Jasmi, K., Hisyam, N. (2018). Big data emerging technology: insights into an innovative environment for online learning resources. International Journal of Emerging Technologies in Learning, 13(1), 23-36. https://doi.org/10.3991/ijet.v13i01.6990
  • Huppert, F.A. (2009). Psychological well-being: evidence regarding its causes and consequences. Applied Psychology: Health and Well-Being, 1, 137-164. https://doi.org/10.1111/j.1758-0854.2009.01008.x
  • Johnson, S.D., & Aragon, S.R. (2003). An instructional strategy framework for online learning environments. New Directions for Adult and Continuing Education, 100, 31-43. https://doi.org/10.1002/ace.117
  • Jonassen, D.H. (2004). Handbook of research on educational communications and technology. Taylor and Francis.
  • Kaleli, Y.S. (2020). The effect of computer-assisted instruction on piano education: An experimental study with pre-service music teachers. International Journal of Technology in Education and Science, 4(3), 235-246. https://doi.org/10.46328/ijtes.v4i3.115
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The Effect of Online and Face-To-Face Teaching Method on Course Outcomes and Attitudes in Secondary School 1st Grade Visual Arts Course

Year 2024, , 464 - 473, 31.07.2024
https://doi.org/10.24106/kefdergi.1525362

Abstract

Purpose: In this study, the effects of effective combination of online technologies and face-to-face teaching practices on students' attitudes and course outcomes in secondary school visual arts courses were investigated.
Design/Methodology/Approach: This research is an experimental study based on the Pre-Test - Post-Test Trial and Control Group (Split-Plot-t Design) 2x2 factorial (two groups and two measurements) and repeated measures design. In the study, "experimental procedures" were applied to the experimental group with sessions lasting two hours a week for 6 weeks.
Findings: This research is an experimental study based on the Pre-Test - Post-Test Trial and Control Group (Split-Plot-t Design) 2x2 factorial (two groups and two measurements) and repeated measures design. In the study, "experimental procedures" were applied to the experimental group with sessions lasting two hours a week for 6 weeks. The research groups were divided into two separate groups. The experimental group was applied on Tuesday and the control group was applied on Wednesday.
Highlights: The mean scores of the subjects who participated in the 6-week online learning and face-to-face teaching sessions in the post-test of visual arts acquisitions were higher than the mean scores of the pre-test. The Wilcoxon Z test was used to determine whether the difference between the mean scores of the experimental group in the pre-test and post-test of visual arts acquisitions was significant or not, and it was found that the difference was significant at p<.01 level.

References

  • Adu, K., & Duku, N. (2021). Learning styles and instructional materials as correlates of Grade 6 learners`’ Mathematics performance in Buffalo City, South Africa. Research in Social Sciences and Technology, 6(3), 242-255. https://doi.org/10.46303/ressat.2021.41
  • Akinbadewa, B. O., & Sofowora, O. A. (2020). The effectiveness of multimedia instructional learning packages in enhancing secondary school students' attitudes towards biology. International Journal on Studies in Education, 2(2), 119-133. https://doi.org/10.46328/ijonse.19
  • Alan, S., & Sünbül, A.M. (2010). High school students' relationship between computer and internet use and reading habits in Konya. The 4th International Computer & Instructional Technologies Symposium, September 24-26, Selçuk University, Konya, Turkey.
  • Alkauskas, G. (2018). Music-mathematics interconnections: An approach through science (works by mathematicians), and an approach through the arts. Lietuvos Muzikologija, 19, 175-191.
  • Altowairiki, N. (2021). Online collaborative learning: Analysing the process through living the experience. International Journal of Technology in Education, 4(3), 413-427. https://doi.org/10.46328/ijte.95
  • Alzboun, M.S., Halalsheh, N.Z., Alslaiti, F.M., Aldreabi H., & Dahdoul, N.K.S. (2023). The effect of digital content designed based on learning styles on academic achievement and motivation toward learning. International Journal of Education in Mathematics, Science, and Technology (IJEMST), 11(6), 1405-1423. https://doi.org/10.46328/ijemst.3750
  • Anderson, L.W., & Bourke S.F. (2013). Assessing affective characteristics in the schools. Routledge.
  • Aşkar, P., & Olkun, S. (2005). PISA 2003 sonuçları açısından okullarda bilgi ve iletişim teknolojileri kullanım. Eurasian Journal of Educational Research, 19, 15-34.
  • Aslantaş, S. (2014). Görsel sanatlar dersine yönelik tutum ölçeği geliştirilmesi. Uluslararası Türk Eğitim Bilimleri Dergisi, 2, 185-196.
  • Baş, G., Kubiatko, M., & Sünbül, A.M. (2016). Teachers' perceptions towards ICTs in teaching-learning process: Scale validity and reliability study. Computers in Human Behaviour, 61, 176-185. https://doi.org/10.1037/t53684-000
  • Bates, A. W. (1997). Restructuring the university for technological change. The Carnegie Foundation for the Advancement of Teaching.
  • Cole, M.T., Shelley, D.J., & Swartz, L.B. (2014). Online instruction, e-learning, and student satisfaction: A three-year study. International Review of Research in Open and Distance Learning, 15(6), 111-131. https://doi.org/10.19173/irrodl.v15i6.1748
  • Comer, D.K., Clark, C.R., & Canelas, D.A. (2014). Writing to learn and learning to write across the disciplines: Peer-to-peer writing in introductory-level MOOCs. International Review of Research in Open and Distance Learning, 15(5), 26-82. https://www.learntechlib.org/p/156214/
  • Cung, B., Xu D., & Eichhorn, S. (2018). Increasing interpersonal interactions in an online course: Does increased instructor email activity and voluntary meeting time in a physical classroom facilitate student learning?. Online Learning, 22(3), 193-215. https://doi.org/10.24059/olj.v22i3.1322
  • Demosthenous, G., Panaoura, A., & Eteokleous, N. (2020). The use of collaborative assignment in online learning environments: The case of higher education. International Journal of Technology in Education and Science, 4(2), 108-117. https://doi.org/10.46328/ijtes.v4i2.43
  • Doğru, O. (2020). An investigation of pre-service visual arts teachers' perceptions of computer self-efficacy and attitudes towards web-based instruction. International Journal of Research in Education and Science, 6(4), 629-637. https://doi.org/10.46328/ijres.v6i4.1454
  • Dziuban, C., Moskal, P., Thompson, J., Kramer, L., DeCantis, G., & Hermsdorfer, A. (2015). Student satisfaction with online learning: Is it a psychological contract?. Online Learning, 19(2), 1-15.
  • Godwin-Jones, R. (2013). Emerging technologies: The technological imperative in teaching and learning less commonly taught languages. Language Learning & Technology, 17(1), 7-19. https://doi.org/10125/24502
  • Hiltz, S.R. (1995). Impacts of college-level courses via asynchronous learning networks: Focus on students. Journal of Asynchronous Learning Network, 1(2), 1-19. https://doi.org/10.24059/olj.v1i2.1934
  • Hu, H., & Huang, F. (2021). Application of universal design for learning into remote English education in Australia amid COVID-19 pandemic. International Journal on Studies in Education, 4(1), 55-69. https://doi.org/10.46328/ijonse.59
  • Huda, M., Maseleno, A., Atmotiyoso, P., Siregar, M., Ahmad, R., Jasmi, K., Hisyam, N. (2018). Big data emerging technology: insights into an innovative environment for online learning resources. International Journal of Emerging Technologies in Learning, 13(1), 23-36. https://doi.org/10.3991/ijet.v13i01.6990
  • Huppert, F.A. (2009). Psychological well-being: evidence regarding its causes and consequences. Applied Psychology: Health and Well-Being, 1, 137-164. https://doi.org/10.1111/j.1758-0854.2009.01008.x
  • Johnson, S.D., & Aragon, S.R. (2003). An instructional strategy framework for online learning environments. New Directions for Adult and Continuing Education, 100, 31-43. https://doi.org/10.1002/ace.117
  • Jonassen, D.H. (2004). Handbook of research on educational communications and technology. Taylor and Francis.
  • Kaleli, Y.S. (2020). The effect of computer-assisted instruction on piano education: An experimental study with pre-service music teachers. International Journal of Technology in Education and Science, 4(3), 235-246. https://doi.org/10.46328/ijtes.v4i3.115
  • Kaleli, Y.S. (2021). The effect of individualised online instruction on TPACK skills and achievement in piano lessons. International Journal of Technology in Education, 4(3), 399-412. https://doi.org/10.46328/ijte.143
  • Kara, S. (2021). An investigation of visual arts teachers' attitudes towards distance education in the time of COVID-19. International Journal on Social and Education Sciences, 3(3), 576-588. https://doi.org/10.46328/ijonses.246
  • Khan, B.H. (1998). Web-Based Instruction (WBI): An introduction. Educational Media International, 35(2), 63-71. https://www.learntechlib.org/p/85633/
  • Kibici, V.B. (2018). İlkokul müfredatına uygun müzik dersi eğitim yazılım programının geliştirilmesi ve uygulanmasının değerlendirilmesi (Tez No. 592232) [Doktora tezi, Necmettin Erbakan Üniversitesi-Konya]. Yükseköğretim Kurulu Ulusal Tez Merkezi.
  • Kibici, V.B., & Sarıkaya, M. (2021). Readiness levels of music teachers for online learning during the COVID 19 Pandemic. International Journal of Technology in Education, 4(3), 501-515. https://doi.org/10.46328/ijte.192
  • Kim, C., Park, S.W., & Cozart, J. (2014). Affective and motivational factors of learning in online mathematics courses. British Journal of Educational Technology, 45(1), 171-185. https://doi.org/10.1111/j.1467-8535.2012.01382.x
  • Kizilcec, R.F., Pérez-Sanagustín, M., & Maldonado, J.J. (2017). Self-regulated learning strategies predict learner behaviour and goal attainment in Massive Open Online Courses. Computers & Education, 104, 18-33. https://doi.org/10.1016/j.compedu.2016.10.001
  • Koehler, M.J., Mishra, P., & Yahya, K. (2007). Tracing the development of teacher knowledge in a design seminar: Integrating content, pedagogy and technology. Computers & Education, 49, 740-762. https://doi.org/10.1016/j.compedu.2005.11.012
  • Koyuncuoğlu, O. (2021). Lisansüstü öğrencilerinin teknolojik pedagojik ve alan bilgilerinin (TPAB) incelenmesi. International Journal of Education in Mathematics, Science, and Technology, 9(2), 299-313.
  • Kuo, Y.C., Walker, A.E., Belland, B.R., & Schroder, K.E. (2013). A predictive study of student satisfaction in online education programmes. International Review of Research in Open and Distance Learning, 14(1), 16-39. https://doi.org/10.19173/irrodl.v14i1.1338
  • Kuo, Y.C., Walker, A.E., Schroder, K.E., & Belland, B.R. (2014). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. Internet and Higher Education, 20, 35-50. https://doi.org/10.1016/j.iheduc.2013.10.001
  • Lee, J. (2014). An exploratory study of effective online learning: Assessing satisfaction levels of graduate students of mathematics education associated with human and design factors of an online course. International Review of Research in Open and Distance Learning, 15(1), 111-132. https://doi.org/10.19173/irrodl.v15i1.1638
  • Lim, C.P., & Ching, C.S. (2004). An activity-theoritical approach to research of ICT integration in Singapore schools: Orienting activities and learner autonomy. Computers & Education, 43, 215-236. https://doi.org/10.1016/j.compedu.2003.10.005
  • Lu, W., Wang, H., Lin, Y., & Li, L. (2020). Psychological status of medical workforce during the COVID-19 pandemic: a cross-sectional study. Psychiatry Research, 288, 1-5. https://doi.org/10.1016/j.psychres.2020.112936
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There are 68 citations in total.

Details

Primary Language English
Subjects Fine Arts Education
Journal Section Research Article
Authors

Sema Kara 0000-0002-6482-7598

Publication Date July 31, 2024
Submission Date October 31, 2023
Acceptance Date March 16, 2024
Published in Issue Year 2024

Cite

APA Kara, S. (2024). The Effect of Online and Face-To-Face Teaching Method on Course Outcomes and Attitudes in Secondary School 1st Grade Visual Arts Course. Kastamonu Education Journal, 32(3), 464-473. https://doi.org/10.24106/kefdergi.1525362