Pengaruh tanggapan mudah guna dalam penerimaan terhadap laman perkongsian video pendidikan berfokus

Ahmad Zamzuri Mohamad Ali

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Type :	article
Subject :	L Education (General)
Main Author :	Ahmad Zamzuri Mohamad Ali
Additional Authors :	Sazanah Md Ali
Title :	Pengaruh tanggapan mudah guna dalam penerimaan terhadap laman perkongsian video pendidikan berfokus

Place of Production :	Tanjong Malim
Publisher :	Fakulti Seni, Komputeran dan Industri Kreatif
Year of Publication :	2019
Corporate Name :	Universiti Pendidikan Sultan Idris

Abstract : Universiti Pendidikan Sultan Idris

Kajian ini bertujuan untuk menganalisis faktor psikologi, sosial, teknologi dan institusi dalam mempengaruhi tanggapan mudah guna pelajar terhadap laman perkongsian video pendidikan berfokus dalam melihat penerimaan dan penggunaan laman tersebut bagi tujuan pendidikan. Model Penerimaan Teknologi (TAM) digunakan sebagai model asas dalam kajian ini, serta model lanjutan dibina sesuai dengan keperluan kajian yang sedang dibangunkan. Beberapa siri video tutorial mempelajari perisian dalam bentuk screencast dibangunkan dan dimuatnaik ke laman perkongsian video pendidikan berfokus (LearnSoftware) yang dibangunkan bagi tujuan kajian ini. Soal selidik digunakan sebagai instrumen kajian. Kajian ini berbentuk kuantitatif dengan data dikumpulkan daripada 294 orang pelajar yang sedang mengikuti pengajian Multimedia (major dan minor) dari 5 buah Institusi Pengajian Tinggi Awam (IPTA). Melalui analisis regresi berganda yang dilakukan mendapati faktor psikologi dan teknologi adalah pengaruh utama tanggapan mudah guna pelajar terhadap laman perkongsian video pendidikan berfokus, manakala faktor sosial dan institusi tidak berpengaruh. Secara kesimpulan, dapatan kajian ini dapat memberi manfaat kepada pihak institusi pendidikan, pelajar dan tenaga pengajar serta pembangun laman perkongsian video dalam memahami tingkah laku pelajar terhadap menerima dan menggunakan teknologi baru yang diperkenalkan

References

1. Ahmad Zamzuri, M. A. 2013. Open source video management system (VMS) for open education : A comparision study. Turkish Online Journal of Distance Education, 14(3), 33–41.

2. Ajzen, I & Fishbein, M. 1975. Belief, attitude, intention and behavior: An introduction to theory and research. Journal of Leisure Research, 21(4), 114–137.

3. Alenezi, A.R. 2011. An adoption of the TAM model to determine factors affecting students’ acceptance of e-learning in instituitions of higher education in saudi arabia. (Unpublished Doctoral Dissertation). Universiti Utara Malaysia, Kedah.

4. Almarabeh, T, Mohammad, H., Yousef, R. & Majdalawi, Y.K.2014. The University of Jordan elearning platform: State, students’ acceptance and challenges. Journal of Software and Application, 7(12), 999-1007.

5. Al-Busaidi, K.A. & Al-Shihi, H. 2010. Instructors’ acceptance of learning management systems: A theoretical framework. http://ibimapublishing.com/articles/CIBIMA/2010/862128/862128.pdf. (1 Ogos 2018)

6. Bakar, A. A., Razak, F. Z. A., & Abdullah, W. S. W. 2013. Assessing the Effects of UTAUT and SelfDetermination Predictor on Students Continuance Intention to Use Student Portal. World Applied Sciences Journal, 21(10), 1484-1489.

7. Bandura, A. 1977. Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215.

8. Bekele, T.A.2010.Motivation and satisfaction in internet-supported learning environments: A review . Educational Technology and Society, 13(2), 116-127

9. Buzzi, M. C., Buzzi, M. & Leporini, B. 2011. Web 2.0: Twitter and the blind. Paper presented the 9th ACM SIGCHI Italian Chapter International Conference on Computer-Human Interaction, Italy. http://dl.acm.org/citation.cfm?id=2037333. (15 Jun 2014).

10. Cheng, J. & Swanson, J. 2011. An examination of the effects of Web-based tutorials on accounting student learning outcomes. Review of Higher Education and Self-Learning, 3(10), 14-28.

11. Davis, F.D (1989). Perceived usefulness, perceived ease of use and user acceptance of Information Technology. https://pdfs.semanticscholar.org/3969/e582e68e418a2b79c604cd35d5d81de9b35d.pdf

12. Elkaseh, A.M., Wong, K.W. & Fung, C.C 2015.The acceptance of e-learning as a tool for teaching and learning. International Journal Of Information Technology,3(4), 1-11.

13. Fathema, N., Shannon, D. & Ross, M.2015. Expanding the technology acceptance model (TAM) to examine faculty use of Learning Management System (LMS) in higher education instituition. Journal of Online Learning and Teaching, 11(2), 210-223.

14. Heijden, V.D. (2004). User acceptance of hedonic information systems. MIS Quarterly, 12(28), 695-704.

15. Igbaria, Magid, Parasuraman, S. & Baroudi, J.1996. A motivational model of microcomputer usage. Journal of Management Information Systems, 13(1), 127-143.

16. Kocaleva, M., Zdravev, Z. & Stojanovic, I. 2015. Model of e-learning acceptance and use for teaching staff in Higher education institutions. International Journal Mod. Educ. Comput. Sci. 7(4), 23-31.

17. Lee, B-Y, Yoon, J-O, & Lee, I., 2009. Learners acceptance of e-learning in South Korea: Theory and results. Computers and Education, 53(4), 1320-1329

18. Lupshenyuk, D., Hocutt, M. & Owston, R. 2011. Web video project as an instructional strategy in teacher education. Proceedings of Society for Information Technology & Teacher Education International Conference 2011 (pp. 984–991). Cheasapeak VA : AACE.

19. Lwoga, E.T.2014.Critical success factors for adoption of web-based learning management systems in Tanzania. International Journal of education and Development Using Information and Communication Technology (IJEDICT), 10(1), 4-21.

20. Milrad, M., Rossmanith, P., & Scholz, M. 2005. Implementing an educational digital video library using MPEG-4 , SMIL and web technologies. Educational Technology and Society 8(4), 120–127.

21. Noraihan, M., & Mohd Sobhi I., 2013. Pengaruh faktor organisasi dan faktor teknologi terhadap penerimaan media sosial sebagai medium pemasaran penginapan bajet . https://www.researchgate.net/publication/262070874_Pengaruh_Faktor_Organisasi_dan_FaktorTeknologi_Terhadap_Penerimaan_Media_Sosial_Sebagai_Medium_Pemasaran_Penginapan_Bajet

22. Norazah, M.S. & Norbayah, M.S 2011. Exploring the relationship between perceived usefulness, perceived ease of use, perceived enjoyment, attitude and subscribers’ intention towards using 3G mobile services. Journal of Information Technology Management, 22(1), 1-7.

23. Osang, F.B, Abinwi, N. & Tsuma, C. 2015.Reviewing information system usage and performance models.International Journal of Computer Science and Information Technologies, 6(1), 478-484.

24. Patterson, J., & Hargreaves, C. 2011. Automated identification and reconstruction of You Tube video access. Retrieved from https://dspace.lib.cranfield.ac.uk/bitstream/ 1826/8082/1/Automated%20Identification%20and%20Reconstruction%20of%20YouTube%20 Video%20Access%20-%20Final.pdf (1 Ogos 2018)

25. Park, S. Y. 2009. An analysis of the technology acceptance model in understanding university students' behavioral intention to use e-learning. Educational Technology & Society, 12 (3), 150–162

26. Rithika, M, & Sara, S. 2013. Impact of social media on student’s academic performance. International Journal of Logistics & Supply Chain Management Perspectives, 2(4), 636-640

27. Shah, G.U.D., Bhatti, M.N., Iftikhar, M., Qureshi, M.I. & Zaman, K. 2013. Implementation of Technology Acceptance Model in e-learning environment in rural and urban areas of Pakistan. World Applied Sciences Journal 27(11), 1495-1507.

28. Sherer, P., & Shea, T. 2011. Using online video to support student learning and engagement. College Teaching, 59(2), 56-59.

29. Smet, C.D., Bourgonjon, J., Wever, B.D., Schellens, T. & Valcke, M. 2012. Researching instructional use and the technology acceptance of learning management systems by secondary school teachers. Journal of Computer and Education, 58(2), 688-696.

30. Snelson, C. 2008. Web-based video in education: possibilities and pitfalls. Paper presented at TCC Worldwide Online Conference 2008, Hawaii. https://www.learntechlib.org/p/43828 .

31. Tabak, F. & Nguyen, N.T. 2013.Technology Acceptance and performance in online learning environments: Impact of self-regulation. Journal of Online Learning and Teaching, 9(1), 118-130.

32. Venkatesh, V., Morris, M.G., Davis, G.B., and Davis, F.D. 2003.User acceptance of information technology: Toward a unified view. MIS Quarterly, 27 (3). 425-478.

33. Wu, J. & Liu, W. 2013. An empirical of the critical factors affecting student’s satisfaction in EFL blended learning. Journal of Language, Teaching and Research, 4(1),176-185.

34. Zhou, N., Baud, L., & Bellot, P. 2013. Video sharing websites study. Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF). Proceedings of the 2013 IEEE RIVF International Conference, (pp.64 – 69). Paris, France: IEEE.

35. Zabukovsek, S.S., & Bobek, S. 2013. TAM-based external factors related to ERP solutions acceptance in organizations. International Journal of Information Systems and Project Management, 1(4), 25-38.

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