PERCEPTIONS OF STUDENTS FROM KIEN GIANG TEACHERS TRAINING COLLEGE ON DIGITAL TRANSFORMATION IN EDUCATION

Cao Thanh Hùng; Nguyễn Khắc Trung

doi:10.34238/tnu-jst.8461

PERCEPTIONS OF STUDENTS FROM KIEN GIANG TEACHERS TRAINING COLLEGE ON DIGITAL TRANSFORMATION IN EDUCATION

About this article

Received: 31/07/23 Revised: 12/09/23 Published: 12/09/23

Authors

1. Cao Thanh Hung, Kien Giang Teachers Training College
2. Nguyen Khac Trung , Kien Giang Teachers Training College

Abstract

Nowadays, universities are increasingly focusing on enhancing the digital transformation in teaching practices, and Kien Giang Teacher Training College is no exception. This article investigates students' awareness of digital transformation in education at Kien Giang Teacher Training College. The study was conducted on a sample of 330 students studying at the college, and data was collected through an online questionnaire. The study examines the correlation between different teaching modalities (online, face-to-face, and hybrid) with factors such as educational background and duration of study at the college. The research findings indicate that students' preferences for various teaching models significantly depend on their individual characteristics. However, these factors do not have a significant impact on students' Internet usage habits, readiness for online learning, satisfaction with online education, and computer skills. The results of this study provide valuable insights to improve educational policies, curricula, and teaching and learning methods during the digital transformation.

Keywords

Digital Transformation; Education; Students; Perception; Teaching

Full Text:

PDF (Tiếng Việt)

References

[1] W. Wargadinata, I. Maimunah, D. Eva, and Z. Rofiq, “Student’s responses on learning in the early COVID-19 pandemic,” Tadris: Journal of Education and Teacher Training, vol. 5, no. 1, pp. 141-153, 2020.

[2] T. T. Duong, T. Q. Ha, and T. T. L. Pham, “Digital transformation in higher education: an integrative review approach,” TNU Journal of Science and Technology, vol. 226, no. 09, pp. 139-146, 2021.

[3] A. Bozanta et al., “The Effects of Social Media Use on Collaborative Learning: a Case of Turkey,” Turkish Online J. Distance Educ, vol. 18, no. 1, pp. 96-111, 2017.

[4] S. Bali and M. S. Liu, “Students' perceptions toward online learning and face-to-face learning courses,” IOP Journal of Physics: Conference Series, vol. 1108, pp. 1-7, 2018.

[5] T. Muthuprasad et al., “Students' perception and preference for online education in India during COVID -19 pandemic,” Social Sciences & Humanities Open, vol. 3, no. 1, pp. 1-11, 2021.

[6] M. Bond et al., “Digital transformation in German higher education: student and teacher perceptions and usage of digital media,” International Journal of educational technology in higher education, vol.15, no. 1, pp. 1-20, 2018.

[7] S. Kurkovsky et al., “Monitoring of Electronic Communications at Universities: Policies and Perceptions of Privacy,” Proc.Annu. Hawaii Int Conf, 2011, pp. 1-10.

[8] T. N. Nguyen, "Digital Transformation in educational management at Kien Giang College of Education," Journal of Science – Dong Thap University , vol. 12, no. 02S, pp. 96-108, 2023.

[9] V. Williams, “Online readiness assessment. Pennstate Qualtrics,” Pennsylvania State University, 2022. [Online]. Available: https://pennstate.qualtrics.com/jfe/form/SV_7QCNUPsyH9f012B. [Accessed June 6,2023].

[10] O. E. Kurt, “Examining an e-learning system through the lens of the information systems success model: Empirical evidence from Italy,” Education and Information Technologies, vol. 24, no. 2, pp. 1173-1184, 2019.

[11] F. Abdullah et al., “Investigating the influence of the most commonly used external variables of TAM on students' perceivedease of use (PEOU) and perceived usefulness (PU) of e-portfolios,” Computers in Human Behavior, vol. 63, pp. 75-90, 2016.

[12] C. A. Mertler, R. A. Vannatta, and K. N. LaVenia, Advanced and multivariate statistical methods: Practical application and interpretation. Routledge, 2021.

[13] J. Hair et al., Multivariate data analysis. Prentice Hall, 2010.

DOI: https://doi.org/10.34238/tnu-jst.8461

Refbacks

There are currently no refbacks.



Remember me