Students' Attitude Towards Focused Educational Video Sharing Sites for Learning
DOI:
https://doi.org/10.53840/myjict5-1-65Keywords:
Focused educational video sharing site, YouTube, TAM, New mediaAbstract
This study is aimed to analyse the psychological factors, social, technological and institutional that influence students' attitudes to use and accept the focused educational video sharing site. The acceptance factors were studied based on the technology acceptance model (TAM). A series of learning software video tutorials in the form of screencast has been developed and uploaded to focused educational video sharing sites named LearnSoftware to be used in this study. A questionnaire has been used as an instrument to analyse the students' attitudes in acceptance of the site for educational purpose. Quantitative research method was used and data were collected from 294 students of Multimedia studies (major and minor) from 5 Public Higher Learning Institutions. Multiple regression analysis conducted found that psychological factors contributed the main influence towards the use of the focused educational video sharing site. In sum, the findings of this study are beneficial for institutions, students and lecturers, and video-sharing site developers in understanding learners’ behavior towards decision-making in accepting and using new technologies introduced.
Downloads
References
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.
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 (Unpublished Doctoral Dissertation).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.
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.
Al-Adwan, A., Al-Adwan, A. & Smedley, J. (2013). Exploring students acceptance of e-learning using technology acceptance model in Jordanian Universities. International Journal of Education and Development Using Information and Communication Technology. 9(2), 4–18.
Ajzen, I & Fishbein, M. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Journal of Leisure Research, 21(4), 114–137.
Albargouthi, M.(2006). Developing a conceptual model of factors affecting social media networking usage in e-learning at Talal Abu Ghazeleh University College of Business (TAGUBC) in Bahrain. International Journal of Computer and Technology, 15(8), 7021-7026.
Al-Busaidi, K.A. & Al-Shihi, H. (2010). Instructors’ acceptance of learning management systems: A theoretical framework. Retrived from http://ibimapublishing.com/articles/CIBIMA/2010/862128/862128.pdf.
Almarashdeh, I.A., Noraidah, S., Nor Azan, M.Z. & Mutasem A. (2010). The success of learning management system among distance learners in Malaysian universities. Journal of Theoritical and Applied Information Technology, 21(2),80-91.
Alshammari, S.H., Ali, M.B., Rosli, M.S.(2016). The influences of technical support, self efficacy and instructional design on the usage and acceptance of LMS: A comprehensive review.The Turkish Online Journal of Educational Technology, 15(2),116-125.
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.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215.
Bakar, A. A., Razak, F. Z. A., & Abdullah, W. S. W. (2013). Assessing the Effects of UTAUT and Self Determination Predictor on Students Continuance Intention to Use Student Portal. World Applied Sciences Journal, 21(10), 1484-1489.
Bekele, T.A.(2010).Motivation and satisfaction in internet-supported learning environments: A review . Educational Technology and Society, 13(2), 116-127.
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. Retrived from http://dl.acm.org/citation.cfm?id=2037333.
Chen, Y-C, Yeh, R.C., Lou, S-J., Lin, Y-C. (2013). What drives a successful web-based language learning environment? An empirical investigation of the critical factors influencing college student’s learning satisfaction. Retrived from http://www.sciencedirect.com/science/article/pii/S1877042813039086
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. Davis, F.D (1989). Perceived usefulness, perceived ease of use and user acceptance of Information Technology. Retrived from https://pdfs.semanticscholar.org/3969/e582e68e418a2b79c604cd35d5d81de9b35d.pdf
Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1992). Extrinsic and instrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22 (14), 1111-1132.
Dorobat, I.(2014).Models for measuring e-learning success in universities: A literature review. Informatica Economica, 18(3), 77-90.
Farahat, T., (2012). Applying the technology acceptance model to online learning in the Egyptian Universities. Retrived from http://www.sciencedirect.com/science/article/pii/S1877042812049890
Guy, R., & Lownes-Jackson, M.. (2013). Web-based tutorials and traditional face-to-face lectures: a comparative analysis of student performance. Retrived from http://iisit.org/Vol10/IISITv10p241- 259Guy0069.pdf.
Heijden, V.D. (2004). User acceptance of hedonic information systems. MIS Quarterly, 12(28), 695- 704.
Hussein, Z. (2015). Explicating students’ behaviors of e-learning: a viewpoint of the extended technology acceptance. International Journal of Management and Applied Science, 1(10), 68-73.
Hussein, R., Aditiawarman, U. & Mohamed, N.(2007). E-learning acceptance in a developing country: A case of the Indonesian Open University. Retrived from http://www.ges2007.de.
Igbaria, Magid, Parasuraman, S. & Baroudi, J.(1996). A motivational model of microcomputer usage. Journal of Management Information Systems, 13(1), 127-143.
Jong, D. & Wang, T-S. (2009).Student acceptance of web based learning system. Proceeding of the 2009 International Symposium on Web Information Systems and Applications. (pp.533-536). Nanchang, China
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.
Lee, D. Y., & Lehto, M.R. (2013). User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model. Retrived from https://www.learntechlib.org/p/132221.
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.
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.
Maina, M.K. & M. Nzuki, D. (2015). Adoption determinants of e-learning management system in instituitions of higher learning in Kenya: A case of selected universities in Nairobi Metropolitan. International Journal of Business and Social Science, 6(2), 233-248.
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
Mitra, S., Agrawal, M., Yadav, A., Carlsson, N., Eager, D., & Mahanti, A. (2010). Characterizing web-based video sharing workloads. Retrived from http://www.ida.liu.se/~nikca89/papers/tweb10.pdf.
Mueller, D. & Strohmeier, S. (2011). Design characteristics of virtual learning environments: state of research. Journal of Computer and Education, 57(4), 2505-2516.
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.
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.
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.
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%20Rec onstruction%20of%20YouTube%20Video%20Access%20-%20Final.pdf.
Portilla, Y., Reiffers, A., Altman, E., El-Azouzi, R. (2015). A study of YouTube recommendation graph based on measurements and stochastic tools. Retrived from https://hal.inria.fr/hal01217047/document
Petty, N.W., (2010). Creating Youtube videos that engage students and enhance learning in statistics and excel. Paper presented at Eighth International Conference on Teaching Statistics, University of Canterbury, New Zealand. Retrieved from http://iaseweb.org/documents/papers/icots8/ICOTS8_C165_PETTY.pdf.
Ramayah, T. & Chow Lee, J.W..(2012). System characteristics, satisfaction and e-learning usage: A Structural Equation Model (SEM).The Turkish Online Journal of Educational Technology, 11(2), 196-206.
Roodt, S., & Peier, D. (2013). Using YouTube in the classroom for the net generation of students. Retrived from http://iisit.org/Vol10/IISITv10p473-488Roodt0046.pdf.
Sherer, P., & Shea, T. (2011). Using online video to support student learning and engagement. College Teaching, 59(2), 56-59.
Simmering, M.J., Posey, C., & Piccoli, G.(2009). Computer self efficacy and motivation to learn in a self directed online course. Decision Science Journal of Innovative Education, 7(1), 99-121.
Snelson, C. (2008). Web-based video in education: possibilities and pitfalls. Paper presented at TCC Worldwide Online Conference 2008, Hawaii. Retrived from https://www.learntechlib.org/p/43828 .
Snelson, C. (2011). YouTube across the Disciplines: A Review of the Literature. MERLOT Journal of Online Learning and Teaching. 7(1), 159-169.
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.
Tarantino, K. & McDonough, J.(2013). Effects of student engagement with social media on student learning: a review of literature. Retrived from http://www.studentaffairs.com/ejournal/Summer_2013/EffectsOfStudentEngagementWithSocialMedi a.pdf
Tarhini, A., Hone, K. & Liu, X. (2013). Factors affecting student’s acceptance of e-learning environments in developing countries: A structural Equation Modeling approach. International Journal of Information and education Technology, 3(1), 54-58
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.
Wu, J-H., Tennyson, R.D. & Hsia, T-L.(2010). A study of student satisfaction in a blended e-learning system environment. Journal of Computers and Education, 55(1), 155-164.
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.
Yiong, B.L.C., Sam, H.K. & Wah, T.K.(2008). Acceptance of e-leaning among distance learners: A Malaysian perspective. Proceedings Ascilite Melbourne, (pp. 541-551). Melbourne, Australia.
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.