Confirmatory Factor Analysis (CFA) Interaksi dalam Pembelajaran Online pada Mahasiswa

Mir Atun Shalihah; Yulhendri Yulhendri

doi:10.24036/011257790

Confirmatory Factor Analysis (CFA) Interaksi dalam Pembelajaran Online pada Mahasiswa

Mir Atun Shalihah⁽¹⁾, Yulhendri Yulhendri⁽²⁾,
(1) Universitas Negeri Padang

Indonesia
(2) Universitas Negeri Padang

Indonesia

Corresponding Author

DOI : https://doi.org/10.24036/011257790

Full Text:

Language : en

Abstract

Online learning systems have become a trend in university. Interaction between lecturers and students is carried out online, but as online learning progresses, there are concerns about whether it can support students' academic abilities. The effectiveness of interaction is a concern in online learning systems. This research aims to analyze and understand the interactions that occur in online learning. This research uses a descriptive method that explains the condition of the population studied and uses a quantitative approach in the form of collecting data that can be measured using statistical analysis. The population in this study were students in Padang City with a research sample of 398 respondents. The sampling technique uses multistage random sampling, which is a sampling technique that combines two or more sampling techniques. The analysis used in this research is Confirmatory Factor Analysis (CFA) using Amos software version 22. From the research that has been carried out, it was found that interactions in online learning have an influence on students.

Keywords

Interaction, online learning, CFA

References

Albright, J. J., & Park, H. M. (2009). Confirmatory Factor Analysis using Amos, LISREL, Mplus, SAS/STAT CALIS. The Trustees of Indiana University, 55(3), 1–86. https://doi.org/10.1097/00006199-200605000-00008

Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327

Bertea, P. (2009). Measuring students’ attitude towards e-learning: A case study. Proceedings of the 5th International Scientific Conference on ELearning and Software for Education.

Betri, T. J. (2020). Pembelajaran Online Menghadapi Wabah Covid 19. Widya Wacana: Jurnal Ilmiah, 15(2), 140–147. http://ejurnal.unisri.ac.id/index.php/widyawacana/article/view/4000

Candra, I., & Rani, M. (2022). Pengaruh Self Regulated Learning, Grit Terhadap Stres Akademik Dalam Pembelajaran Online Di Masa Pandemi Covid-19 Pada Mahasiswa Di Kota Padang Berbasis Teknologi Informasi. Jurnal Psikohumanika, 14(1), 26–40. https://doi.org/10.31001/j.psi.v14i1.1431

Chin, W. W., & Dibbern, J. (2010). An Introduction to a Permutation Based Procedure for Multi-Group PLS Analysis: Results of Tests of Differences on Simulated Data and a Cross Cultural Analysis of the Sourcing of Information System Services Between Germany and the USA. In Handbook of Partial Least Squares. https://doi.org/10.1007/978-3-540-32827-8_16

Dewi, H. R., & Rosyid, A. (2023). Aksesibilitas dan Efektivitas Pembelajaran Daring Di STKIP PGRI Bangkalan Pada Masa Pandemi Covid-19. Jurnal Pendidikan Dan Keguruan, 1(4), 275–280.

Duggan, A. (2001). Measuring Students ’ Attitudes Toward Educational Use Of The Internet. Educational Computing Research, 25(3), 267–281.

Firmansyah. (2021). Edukatif : Jurnal Ilmu Pendidikan Motivasi Belajar dan Respon Siswa terhadap Online Learning sebagai Strategi Pembelajaran di Masa Pandemi Covid-19 Abstrak. Jurnal Ilmu Pendidikan, 3(2), 589–597.

Gherghel, C., Yasuda, S., & Kita, Y. (2023). Interaction during online classes fosters engagement with learning and self-directed study both in the first and second years of the COVID-19 pandemic. Computers and Education, 200(December 2022), 104795. https://doi.org/10.1016/j.compedu.2023.104795

Govaerts, S., & Grégoire, J. (2004). Stressful academic situations: Study on appraisal variables in adolescence. Revue Europeenne de Psychologie Appliquee, 54(4), 261–271. https://doi.org/10.1016/j.erap.2004.05.001

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariat Data Analysis: Pearson New International Edition. In Exploratory Data Analysis in Business and Economics.

Hakim, M., & Mulyapradana, A. (2020). Pengaruh Penggunaan Media Daring dan Motivasi Belajar Terhadap Kepuasan Mahasiswa Pada Saat Pandemik Covid-19. Widya Cipta: Jurnal Sekretari Dan Manajemen, 4(2), 154–160. https://doi.org/10.31294/widyacipta.v4i2.8853

Kusnayat, A., Muiz, M. hifzul, Nani, S., Mansyur, A. salim, & Zaqiah, Q. yulianti. (2020). Pengaruh Teknologi Pembelajaran Kuliah Online Di Era Covid-19 Dan Dampaknya Terhadap Mental Mahasiswa. EduTeach : Jurnal Edukasi Dan Teknologi Pembelajaran, 1(2), 153–165. https://doi.org/10.37859/eduteach.v1i2.1987

Li, J., Antonenko, P. D., & Wang, J. (2019). Trends and issues in multimedia learning research in 1996–2016: A bibliometric analysis. Educational Research Review.

Liew, T. W., Tan, S. M., Tan, T. M., & Kew, S. N. (2020). Does speaker’s voice enthusiasm affect social cue, cognitive load and transfer in multimedia learning? Information and Learning …. https://doi.org/10.1108/ILS-11-2019-0124

Monica, J., & Fitriawati, D. (2020). Efektivitas Penggunaan Aplikasi Zoom Sebagai Media Pembelajaran Online Pada Mahasiswa Saat Pandemi Covid-19 As An Online Learning Medium For Students During The Covid-19 Pandemic. Jurnal Communio, 1, 1630–1640.

Nabila, N. A. (2020). Pembelajaran Daring di Era Covid-19. Jurnal Pendidikan, 01(01), 1–10. https://psyarxiv.com/an4vq/download

Nakayama, M., Mutsuura, K., & Yamamoto, H. (2014). Impact of learner’s characteristics and learning behaviour on learning performance during a fully online course. Electronic Journal of E-Learning. 394–408.

Oliveira, G., Grenha Teixeira, J., Torres, A., & Morais, C. (2021). An exploratory study on the emergency remote education experience of higher education students and teachers during the COVID-19 pandemic. British Journal of Educational Technology, 52(4), 1357–1376. https://doi.org/10.1111/bjet.13112

Sarwono, J., & Budiono, H. (2012). Statistik Terapan : Aplikas untuk Riset Skripsi, Tesis, dan Disertasi Menggunakan SPSS, AMOS, dan Excel. PT Elex Media Komputindo.

Shek, D. T. L., & Yu, L. (2014). Confirmatory factor analysis using AMOS: A demonstration. International Journal on Disability and Human Development, 13(2), 191–204. https://doi.org/10.1515/ijdhd-2014-0305

Soekanto, A., & Rianti, E. D. D. (2021). Analisis Tingkat Kelelahan Mahasiswa dalam Pembelajaran Daring di Era Pandemik Covid-19 Tahun Ajaran 2020 / 2021 Analysis of Student Fatigue Levels in Online Learning during the Covid-19 Pandemic for the 2020 / 2021 Academic Year. Jurnal Ilmiah Kedokteran Wijaya Kusuma, 154–165.

Sugiyono. (2017). Metode Penelitian Kombinasi. Alfabeta.

Suliyanto. (2011). Ekonometrika Terapan : Teori & Aplikasi dengan SPSS. ANDI.

Sun, S. Y. H. (2014). Learner perspectives on fully online language learning. Distance Education, 35(1), 18–42. https://doi.org/10.1080/01587919.2014.891428

Szpunar, K. K., Moulton, S. T., & Schacter, D. L. (2013). Mind wandering and education: From the classroom to online learning. Frontiers in Psychology, 4(AUG), 1–7. https://doi.org/10.3389/fpsyg.2013.00495

Teodorescu, D. (2022). Factors affecting motivation in online courses during the COVID-19 pandemic: the experiences of students at a Romanian public university. European Journal of Higher Education, 12(3), 332–349.

Wang, Y., Cao, Y., Gong, S., Wang, Z., Li, N., & Ai, L. (2022). Interaction and learning Engagement in Online Learning: The Mediating Roles of Online Learning Self-Eficacy and Academic Emotions. Learning and Individual Differences. https://doi.org/10.1016/B978-0-323-46294-5.00028-5

Wei, H. C., & Chou, C. (2019). Relationships among college learners’ online learning percep- tions, behaviors, and achievements via the Self-Determination Theory approach. AERA Annual Meeting, Toronto, Canada.

Wei, H. C., & Chou, C. (2020). Online learning performance and satisfaction: do perceptions and readiness matter? Distance Education. https://www.tandfonline.com/doi/abs/10.1080/01587919.2020.1724768

Xiao, Y., Foon, K., & Hew, T. (2023). Intangible rewards versus tangible rewards in gamified online learning : Which promotes student intrinsic motivation , behavioural engagement , cognitive engagement and learning performance ? British Journal of Educational Technology, June, 1–21. https://doi.org/10.1111/bjet.13361