A Framework for Developing an Information Policy for Promoting WBLS Adoption and Continuous Use by Experienced and Technical Instructors in Thai Universities

Main Article Content

Patravadee Vongsumedh
Nattapong Sanchan

บทคัดย่อ

          This qualitative research aims to establish the framework for developing an information policy for promoting the WBLS adoption and increasing the continuous use by experienced and technical instructors in Thai universities. According to the findings of a previous quantitative research which collected survey data from 295 Computer and IT (CIT) instructors in Thai universities, the 8 identified factors affecting the WBLS adoption by experienced and technical instructors (e.g., intention to use, system quality, information quality, perceived usefulness, perceived ease of use, compatibility, service quality, and computer self-efficacy) were used as the guidelines for establishing the framework for developing an information policy for promoting the WBLS adoption and continuous use in Thai universities. The population of this qualitative research are the information policy makers and the WBLS stakeholders  in Thai universities. 12 representatives (i.e., the information policy makers, the instructors, and the software developers or technical supporters) from national universities, state universities, private universities, and software development organizations were purposively sampled to join the focus group discussions. A semi-structured interview form, which was developed and validated by 3 experts from the area of educational technology and software development, was used during the focus group discussions.
          The results of this qualitative research were summarized into two-key frameworks: 1) the framework for supporting the positive-effect factors and 2) the framework for decreasing the negative impacts of the negative-effect factors. In order to promote the WBLS adoption and continuous use, a variety of actions can be performed by the different stakeholders along with the different phases of the systems development life cycle. The purposes of these actions are to support the positive-effect factors and to decrease or to prevent the negative impacts of the negative-effect factor. Additionally, the factors with the great statistical effects (e.g., intention to use, system quality, and information quality) or the actions found to support several factors simultaneously (e.g., manpower development and planning, instruction compatibility, and instructors’ involvement during system implementation) should be concerned in order to effectively promote the WBLS adoption and continuous use.

Article Details

บท
บทความวิจัย

References

Addah, J. (2012). Computer literacy and E-learning: Attitudes among first year students in a Ghanaian medical school. International Journal of Computer Applications, 51 (22), 21-25.

Almaiah, M. A., Al-Khasawneh, A., & Althunibat, A. (2020). Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic. Education and Information Technologies, 25, 5261-5280.

Boondao, S., Komlayut, S., & Punnakan, W. (2009). Factors in e-Learning in Universities in Thailand. Special Issue of the International Journal of the Computer, the Internet and Management, 17 (SP1), 31.1-31.4.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology – A comparison of two theoretical models. Management Science, 35 (8), 982-1003.

Deerajviset, P., & Harbon, L. (2014). E-learning in EFL education in Thailand's higher education: The role for lecturers making it work. University of Sydney Papers in TESOL, 9, 37-63.

DeLone, W. H. , & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A 10-year update. Journal of Management Information Systems, 19 (4), 9-30.

Fish, W. W., & Gill, P. B. (2009). Perceptions of Online Instruction. Turkish Online Journal of Educational Technology, 8 (1), 53-64.

Heron, P., & Dugan, R. E. (1997). Information Policy--Distance Education: Provider and Victim Libraries. Journal of Academic Librarianship, 23 (4), 315-318.

Iqbal, M. J., & Ahmad, M. (2010). Enhancing quality of education through e-learning: the case study of Allama Iqbal Open University. The Turkish Online Journal of Distance Education, 11 (1), 84-97.

Krevskiy, I. G., Bershadsky, A., & Glotova, T. (2018). Research Competence for Development of Distance Education in Russian Universities. In Handbook of Research on Students' Research Competence in Modern Educational Contexts (pp. 385-408): IGI Global.

Laohajaratsang, T. (2010). e-Education in Thailand: Equity, quality and sensitivity for learners and teachers. Global Learn Asia Pacific 2010. 17-20 May 2010. Penang, Malaysia, 694-700.

Mêgnigbêto, E. (2010). Information policy: Content and challenges for an effective knowledge society. International Information & Library Review, 42 (3), 144-148.

Mkrttchian, V., Krevskiy, I., Bershadsky, A., Glotova, T., Gamidullaeva, L., & Vasin, S. (2019). Web-Based Learning and Development of University's Electronic Informational Educational Environment. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 14 (1), 32-53.

Moore, N. (1993). Information policy and strategic development: a framework for the analysis of policy objectives. Aslib Proceedings, 45 (11), 281-285.

Motaghian, H., Hassanzadeh, A., & Moghadam, D. K. (2013). Factors affecting university instructors' adoption of web-based learning systems: Case study of Iran. Computers and Education, 61 (1), 158-167.

Namdarian, L., Alidousti, S., & Rasuli, B. (2021). Developing a comprehensive framework for analyzing national scientific and technical information policy: application of HeLICAM in Iran. Online Information Review, 45 (7), 1381-1403.

Ngampornchai, A., & Adams, J. (2016). Students’ acceptance and readiness for E-learning in Northeastern Thailand. International Journal of Educational Technology in Higher Education, 13 (1), 1-13.

Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. (7th ed.). London: McGraw Hill Education.

Pasek, J. E. (2015). Defining of information policy: relating issues to the information cycle. New Review of Academic Librarianship, 21 (3), 286-303.

Pasquale, F. (2014). Redescribing health privacy: the importance of information policy. Houston Journal of Health Law and Policy, 14, 95-128.

Rogers, E. M. (2003). Diffusion of innovations. (5th ed.). New York: Free Press.

Saekow, A., & Samson, D. (2011). E-learning Readiness of Thailand's Universities Comparing to the USA's Cases. International Journal of e-Education, e-Business, e-Management and e-Learning, 1 (2), 126-131.

Selim, H. M. (2007). Critical success factors for e-learning acceptance: Confirmatory factor models. Computers & Education, 49 (2), 396-413.

Vongsumedh, P. (2018). The Web-based Learning System Adoption by Computer and Information Technology Instructors in Thai Universities. SNRU Journal of Science and Technology, 10 (3), 138-147.

Walster, D. (2018). Information policy and e-Learning. In Leading and Managing e-Learning (pp. 141-154): Springer.

Wang, W., & Wang, C. (2009). An empirical study of instructor adoption of web-based learning systems. Computers & Education, 53 (3), 761-774.

Washington, A. L. (2014). Government information policy in the era of big data. Review of Policy Research, 31 (4), 319-325.

Zakharova, N. A., & Yudintseva, A. F. (2019). Online education: Prospects of development in Russia. Universal Journal of Educational Research, 7 (10B), 11-15.

Zawacki-Richter, O., Kondakci, Y., Bedenlier, S., Alturki, U., Aldraiweesh, A., & Püplichhuysen, D. (2015). The Development of Distance Education Systems in Turkey, the Russian Federation and Saudi Arabia. European Journal of Open, Distance and E-learning, 18 (2), 112-128.