Factors Improving Student's Experiences: A Case of Online Education Live Streaming Platform
DOI:
https://doi.org/10.14456/abacodijournal.2023.19Abstract
This study investigates the factors that influence students' experience with online education platforms. The research adopts a structured questionnaire survey and uses three characteristics of online education live streaming platform as independent variables, namely: quality of teacher, course design and platform function. The dependent variable is the student's experience. Quantitative data was collected through an online questionnaire involving 87 students who had participated in a Chinese online live streaming education platform. The results based on quantitative research show that the course design and platform functions in the online live streaming education platform have a positive impact on the student experience, while the teacher qualifications of the online education platform have no impact on the student experience. It is suggested that online education live streaming platforms pay more attention to time management in course design to make it easy for students to accept. In addition, the platform design team should improve product compatibility.
References
Alexander, B. (2006). Web 2.0: A new wave of innovation for teaching and learning? Educause Review, 41(2), 32-44.
Ali Kamali, & Ladan Kianmehr. (2015). The paradox of online education: Images, perceptions, and interests. US-China Education Review A, 5(9).
Almaiah, M. A., & Almulhem, A. (2018). A conceptual framework for determining the success factors of e-learning system implementation using Delphi technique. Journal of Theoretical and Applied Information Technology, 96(17), 5962–5976.
Alvarez, I., Guasch, T., & Espasa, A. (2009). University teacher roles and competencies in online learning environments: A theoretical analysis of teaching and learning practices. European Journal of Teacher Education, 32(3), 321-336.
Baldwin, S. J. (2019). Assimilation in online course design. American Journal of Distance Education, 33(3), 195-211.
Bangert, A. W. (2004). The seven principles of good practice: A framework for evaluating on- line teaching. The Internet and Higher Education, 7(3), 217–232.
Bett, H., & Makewa, L. (2018). Can Facebook groups enhance continuing professional development of teachers? Lessons from Kenya. Asia-Pacific Journal of Teacher Education, 48(2), 132-146. https://doi.org/10.1080/1359866x.2018.1542662
Black, G. S., & Kassaye, W. W. (2014). Do students learning styles impact student outcomes in marketing classes? Academy of Educational Leadership Journal, 18(4), 149–162.
Bridge, S. (2020). Opinion: How edtech will keep our students on track during covid-19. Arabian business. Com Retrieved from https://search.proquest.com/docview/2377556452?accountid=147490. Accessed 12 Oct 2020.
Cho, W., & Schmelzer, C. D. (2000). Just‐in‐time education: Tools for hospitality managers of the future? International Journal of Contemporary Hospitality Management, 12(1), 31-37.
CNNIC. (2020). Statistical report on internet development in China. Beijing: China Internet Network Information Center.
Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of applied psychology, 78(1), 98-104.
Creemers, B. P., & Kyriakides, L. (2013). Improving quality in education: Dynamic approaches to school improvement. Routledge.
Darling-Hammond, L., & Center for American Progress. (2010). Evaluating teacher effectiveness: How teacher performance assessments can measure and improve teaching.
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. (2003). Journal of Management Information Systems, 19(4), 9-30.
Ganti, A. (2005). Weighted average: What is it, how is it calculated and used? Investopedia. https://www.investopedia.com/terms/w/weightedaverage.asp
Garrison, D. R., Anderson, T., & Archer, W. (2001). Critical thinking, cognitive presence, and computer conferencing in distance education. American Journal of Distance Education, 15(1), 7-23.
Gopal, R., Singh, V., & Aggarwal, A. (2021). Impact of online classes on the satisfaction and performance of students during the pandemic period of COVID 19. Education and Information Technologies, 26(6), 6923-6947. https://doi.org/10.1007/s10639-021-10523-1
James, G., Witten, D., Hastie, T., & Tibshirani, R. (2014). An introduction to statistical learning: With applications in R. Springer.
Jenkins, D. M. (2015). Integrated course design: A facelift for college courses. Journal of Management Education, 39(3), 427–432.
Kington, A., Sammons, P., & Brown, E. (2014). Effective classroom practice. McGraw-Hill Education (UK).
Kolo, C. and Breiter, A. (2009). An integrative model for the dynamics of ICT-based innovations in education. Digital Culture & Education, 1(2), 89-103.
Ladyshewsky, R. K. (2013). Instructor presence in online courses and student satisfaction. International Journal for the Scholarship of Teaching and Learning, 7(1). https://doi.org/10.20429/ijsotl.2013.070113
Liaw, S. (2008). Investigating students' perceived satisfaction, behavioral intention, and effectiveness of E-lEarning: A case study of the blackboard system. Computers & Education, 51(2), 864-873. https://doi.org/10.1016/j.compedu.2007.09.005
Luekens, M.T., Lyter, D.M., and Fox, E.E. (2004). Teacher attrition and mobility: Results from the teacher follow-up survey, 2000–01 (NCES 2004–301). National Center for Education Statistics, U.S. Department of Education. Washington, DC. https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2004301
Ma, J., Han, X., Yang, J., & Cheng, J. (2015). Examining the necessary condition for engagement in an online learning environment based on learning analytics approach: The role of the instructor. The Internet and Higher Education, 24, 26-34. https://doi.org/10.1016/j.iheduc.2014.09.005
Marcelo, C., & Yot-Domínguez, C. (2018). From chalk to keyboard in higher education classrooms: Changes and coherence when integrating technological knowledge into pedagogical content knowledge. Journal of Further and Higher Education, 43(7), 975-988. https://doi.org/10.1080/0309877x.2018.1429584
McNess, E. (2006). Nous écouter, nous soutenir, nous apprendre1: A comparative study of pupils' perceptions of the pedagogic process. Comparative Education, 42(4), 517-532. https://doi.org/10.1080/03050060600988403
Mellati, M., & Khademi, M. (2019). Technology-based education. Advanced Online Education and Training Technologies, 48-62.
Mtebe, J. S., & Raisamo, R. (2014). A model for assessing learning management system success in higher education in sub-saharan countries. The Electronic Journal of Information Systems in Developing Countries, 61(1), 1-17. https://doi.org/10.1002/j.1681-4835.2014.tb00436.x
Munteanu, C., Ceobanu, C., Bobâlcă, C., & Anton, O. (2010). An analysis of customer satisfaction in a higher education context. International Journal of Public Sector Management, 23(2), 124-140.
Rédei, G. P. (2008). Encyclopedia of genetics, genomics, Proteomics, and informatics. Springer Science & Business Media.
Roca, J. C., Chiu, C., & Martínez, F. J. (2006). Understanding E-lEarning continuance intention: An extension of the technology acceptance model. International Journal of Human-Computer Studies, 64(8), 683-696.
Rudduck, J., & Flutter, J. (2000). Pupil participation and pupil perspective: 'carving a new order of experience'. Cambridge Journal of Education, 30(1), 75-89. https://doi.org/10.1080/03057640050005780
Sabbah Khan, N. U., & Yildiz, Y. (2020). Impact of intangible characteristics of universities on student satisfaction. Revista Amazonia Investiga, 9(26), 105-116. https://doi.org/10.34069/ai/2020.26.02.12
Shneiderman, B., Plaisant, C., Cohen, M., Jacobs, S., Elmqvist, N., & Author. (2017). Designing the user interface: Strategies for effective human-computer interaction.
Slaski, P., Grzelak, M., & Rykala, M. (2020). Higher education – Related problems during COVID-19 pandemic. EUROPEAN RESEARCH STUDIES JOURNAL, XXIII(Special Issue 3), 167-186.
Song, Y., & Kong, S. (2017). Investigating students’ acceptance of a statistics learning platform using technology acceptance model. Journal of Educational Computing Research, 55(6), 865-897. https://doi.org/10.1177/0735633116688320
Tawafak, R. M., Romli, A. B., Arshah, R. B., & Malik, S. I. (2019). Framework design of university communication model (UCOM) to enhance continuous intentions in teaching and E-lEarning process. Education and Information Technologies, 25(2), 817-843.
Vittinghoff, E., Glidden, D. V., Shiboski, S. C., & McCulloch, C. E. (2011). Regression methods in biostatistics: Linear, logistic, survival, and repeated measures models. Springer Science & Business Media.
Wilkins, C., Rolfhus, E., Weiss, L., & Zhu, J. J. (2005). A new method for calibrating translated tests with small sample sizes. In annual meeting of the American Educational Research Association, Montreal, Canada.
Wooldridge, B. (1995). Increasing the effectiveness of university/college instruction: Integrating the results of learning style research into course design and delivery. The Importance of Learning Styles, 49–67.
Wright, C. R. (2003). Criteria for evaluating the quality of online courses. Alberta distance Educ. Training Assoc., 16(2), 185–200.
Zahidi, Z., Lim, Y. P., & Woods, P. C. (2014). Understanding the user experience (UX) factors that influence user satisfaction in digital culture heritage online collections for non-expert users. 2014 Science and Information Conference. https://doi.org/10.1109/sai.2014.6918172
Zhang, H. T. (2021). Analyze the platform function of "Tangfeng Chinese" from the perspective of teachers' use.
Zou, P.X., & Wang, X. (2011). A Conceptual Framework of Web 2.0-based Interactive Portal for Improving Learning and Teaching in Construction Curriculum.
