The Effects of ARCS on the Acceptance of Online Learning Environments During the Novel Coronavirus Pandemic: A Structural Regression Analysis
Yıl 2024,
Cilt: 13 Sayı: 3, 560 - 576, 31.07.2024
Nazire Burçin Hamutoğlu
,
Hurşit Cem Salar
,
Emre Çam
,
Orhan Gemikonakli
Öz
Although the use of online learning environments has been increasingly integrated into teaching and learning of university students worldwide, the global pandemic COVID-19 has urged almost the exclusive use of these environments for at least temporary periods. Since there may be situations that disrupt the efficiency of education-teaching environments such as a pandemic, it is expected that university teaching will continue either in a mixed-mode combining face-to-face and online learning or in some cases by online learning only. Hence, it is essential to assess the acceptance of online environments by university students. This study assesses the effect of motivation on the acceptance of such environments. It concentrates on examining the effect of motivation regarding teaching materials on the acceptance of online learning environments. For this, while the motivation concept related to the teaching materials is based on the Attention, Relevance, Confidence, Satisfaction model developed by Keller (1987), the acceptance of online learning environments is based on the Technology Acceptance Model developed by Davis (1989). The results obtained are discussed within the framework of the relevant literature.
Kaynakça
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Yıl 2024,
Cilt: 13 Sayı: 3, 560 - 576, 31.07.2024
Nazire Burçin Hamutoğlu
,
Hurşit Cem Salar
,
Emre Çam
,
Orhan Gemikonakli
Öz
Çevrimiçi öğrenme ortamlarının kullanımı dünya çapında üniversite öğrencilerinin öğretim ve öğrenimine giderek daha fazla entegre edilmiş olsa da, küresel COVID-19 salgını en azından geçici sürelerle bu ortamların neredeyse özel olarak kullanılmasını zorunlu kılmıştır. Pandemi gibi eğitim-öğretim ortamlarının verimliliğini sekteye uğratan durumlar olabileceği için, üniversite öğretiminin ya yüz yüze ve çevrimiçi öğrenimi birleştiren karma öğrenme ya da bazı durumlarda yalnızca çevrimiçi öğrenimle devam etmesi beklenmektedir. Bu nedenle, üniversite öğrencileri tarafından çevrimiçi ortamların kabulünün değerlendirilmesi önemlidir. Bu çalışma, motivasyonun bu tür ortamların kabulü üzerindeki etkisini değerlendirmektedir. Öğretim materyallerine ilişkin motivasyonun çevrimiçi öğrenme ortamlarının kabulü üzerindeki etkisini incelemeye odaklanmaktadır. Bunun için öğretim materyallerine ilişkin motivasyon kavramı Keller (1987) tarafından geliştirilen Dikkat, İlgililik, Güven, Doyum modeline dayandırılırken, çevrimiçi öğrenme ortamlarının kabulü Davis (1989) tarafından geliştirilen Teknoloji Kabul Modeline dayanmaktadır. Elde edilen sonuçlar ilgili literatür çerçevesinde tartışılmıştır.
Kaynakça
- Ajzen, I. & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behaviour (Englewood Cliffs, NJ, Prentice-Hall). http://www.citeulike.org/group/38/article/235626
- Ajzen, I. (1991). The theory of planned behaviour. Organizational Behavior and Human Decision Processes, 50 (2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
- Arora, A. S., & Sharma, A. (2018). Integrating the ARCS Model with Instruction for Enhanced Learning. Journal of Engineering Education Transformations, 32(1), 85-89. https://doi.org/10.16920/jeet/2018/v32i1/130823
- Bagci, K., & Celik, H. E. (2018). Examination of factors affecting continuance intention to use web-based distance learning system via structural equation modelling. Eurasian Journal of Educational Research, 18(78), 43-66. Retrieved from https://dergipark.org.tr/en/pub/ejer/issue/42563/512855
- Balantekin, Y., & Bilgin, A. (2017). ARCS Motivasyon modeli’nin öğrencilerin motivasyonlarına, tutumlarına ve akademik başarılarına etkisi [The Effect of ARCS Motivational Model on Motivational Level, Attitudes and Academic Success of the Students]. Elementary Education Online, 16(1). https://doi.org/10.17051/io.2017.04081
- Bentler, P. M., & Bonett, D.G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588-606. https://doi.org/10.1037/0033-2909.88.3.588
- Bollen, K. (1989). Structural Equations with Latent Variables. Wiley-Interscience.
- Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136-162). CA: Sag
- Büyüköztürk, Ş., Kılıç Çakmak, E., Akgün, Ö. E., Karadeniz, Ş., & Demirel, F. (2017). Bilimsel araştırma yöntemleri [Scientific research methods] (23rd ed.). Pegem Akademi.
- Byrne, B. M. (2006). Structural equation modeling with EQS: Basic concepts, application, and programming (2nd ed.). Lawrence Erlbaum.
- Byrne, B. M.., & Campbell, T. L. (1999). Cross-cultural comparisons and the presumption of equivalent measurement and theoretical structure: A look beneath the surface. Journal of Cross-Cultural Psychology, 30, 555- 574. https://doi.org/10.1177/0022022199030005001
- Byrne, B., M., (2010). Structural Equation Modeling with AMOS: basic concepts, applications, and programming (2nd ed). Taylor and Francis Group.
- Carman, J. M. (2005). Blended learning design: Five key ingredients. Agilant Learning, 1-11. Retrieved from https://www.it.iitb.ac.in/~s1000brains/rswork/dokuwiki/media/5_ingredientsofblended_learning_design.pdf
- Chaka, G. J. & Govendar, I. (2017). Students’ perceptions and readiness towards mobile learning in colleges of education: A Nigerian perspective. South African Journal of Education, 37(1), 1-12. https://doi.org/10.15700/saje.v37n1a1282
- Cobb, C. (2013). The use of an animated pedagogical agent as a mnemonic device to promote learning and motivation in online education. [PhD thesis] Walden University.
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
- Cüceloğlu, D. (1991). İnsan ve davranışı: Psikolojinin temel kavramları [Human and behavior: Basic concepts of psychology]. Remzi kitapevi.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340 https://doi.org/10.2307/249008
- Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of applied social psychology, 22(14), 1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
- Dinçer, S., & Doğanay, A. (2016). Öğretim materyali’ne İlişkin motivasyon ölçeği (ÖMMÖ) Türkçe uyarlama çalışması [Turkish Adaptation Study of Instructional Materials Motivation Survey (IMMS)]. İlköğretim Online, 15(4), 1131-1148. : http://dx.doi.org/10.17051/io.2016.19056
- Eagly, A. H., & Chaiken, S. (2007). The advantages of an inclusive definition of attitude. Social cognition, 25(5), 582-602. https://doi.org/10.1521/soco.2007.25.5.582
- Erdem, A. R. ve Gözüküçük, M. (2013). İlköğretim 3. 4. ve 5. öğrencilerinin Türkçe dersine yönelik motivasyonu ve tutumları arasındaki ilişki [The relationship between motivations and attitudes of the 3rd 4th and 5th class primary students for Turkish lesson]. Pegem Eğitim ve Öğretim Dergisi, 3(2), 13-24. Retrieved from https://dergipark.org.tr/tr/pub/pegegog/issue/22583/241215
- Ertmer, P. A. (1999). Addressing first-and second-order barriers to change: Strategies for technology integration. Educational Technology Research and Development, 47(4), 47-61. https://doi.org/10.1007/bf02299597
- Esteban-Millat, I., Martínez-López, F. J., Pujol-Jover, M., Gázquez-Abad, J. C., & Alegret, A. (2018). An extension of the technology acceptance model for online learning environments. Interactive Learning Environments, 26(7), 895–910. https://doi.org/10.1080/10494820.2017.1421560
- Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior research methods, 39(2), 175-191. https://doi.org/10.3758/bf03193146
- Finn, A., Wang, L., & Frank, T. (2009). Attribute perceptions, customer satisfaction and intention to recommend e-services. Journal of Interactive Marketing, 23(3), 209-220. https://doi.org/10.1016/j.intmar.2009.04.006
- Fishbein, M. ve Ajzen, I. (1975). Belief, attitude, intention and behavior: an introduction to theory and research. Reading MA.
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