Evaluating the Influence of Performance Expectancy on the Adoption of Students’ Information System in Higher Learning Institutions
DOI:
https://doi.org/10.59645/abr.v13i2.23Keywords:
MOODLE, Performance expectancy, Students’ performance, Higher learning institutionsAbstract
The application of computer-based information systems in higher learning institutions as a catalyst to enhance academic performance is inevitable in the 21st technology-oriented century. The intent of this study was to evaluate the influence of performance expectancy on the adoption of MOODLE as one of the learning information systems in higher learning institutions. Specifically, the performance expectancy is measured by quickness for accomplishment of class tasks, confidence on improvement in academic performance, usefulness of the system in study activities, actual improvement in academic performance, usefulness in enhancing learning activities, and improvement of accessibility and download of learning materials. Simple random sampling was used to obtain a total of 97 respondents from the population of about 3,000 students of the Institute of Accountancy Arusha (IAA). This study used a structured questionnaire as a tool of data collection. Descriptive statistics, and correlation analysis were used for data analysis. The findings indicate that 67% of the respondents supported that the system enables them to accomplish their tasks quickly and timely, 45% agreed that the system enables them to improve the confidence for better academic performance, 67% supported the usefulness of the system in their studies, 54% agreed that the system helped them towards the improvement in actual academic performance and 80% supported that the system provides access to download learning materials. On the basis of these research findings, it can be argued that the performance expectancy is somehow capable of influencing the adoption of student information system in higher learning institutions. It is argued that most of students find MOODLE helpful and supportive in achieving their academic targets. It is recommended for IAA to encourage students and learners to make full use of MOODLE so as to enjoy the embedded potentials and benefits. Further studies can be carried to investigate on the extent to which the performance expectancy influence the adoption of Students’ Information System in other levels of educational institutions such as secondary schools.
References
AlQudah Ahmed, A. (2014). Accepting Moodle By Academic Staff At the University of Jordan : Applying and Extending Tam in Technical Support Factors. European Scientific Journal, 10(18), 183–200.
Ansong, E., Boateng, S. L., Boateng, R., & Effah, J. (2016). Determinants of e-learning adoption in universities: Evidence from a developing country. Proceedings of the Annual Hawaii International Conference on System Sciences, 2016-March, 21–30. https://doi.org/10.1109/HICSS.2016.12
Arfken, C. L., & Balon, R. (2011). Declining participation in research studies. Psychotherapy and Psychosomatics, 80(6), 325–328. https://doi.org/10.1159/000324795
Barakabitze, A. A., William-Andey Lazaro, A., Ainea, N., Mkwizu, M. H., Maziku, H., Matofali, A. X., Iddi, A., & Sanga, C. (2019). Transforming African Education Systems in Science, Technology, Engineering, and Mathematics (STEM) Using ICTs: Challenges and Opportunities. Education Research International, 2019, 1–29. https://doi.org/10.1155/2019/6946809
Bervell, B., & Umar, I. N. (2017). Validation of the UTAUT model: Re-considering non-linear relationships of exogeneous variables in higher education technology acceptance research. Eurasia Journal of Mathematics, Science and Technology Education, 13(10), 6471–6490. https://doi.org/10.12973/ejmste/78076
Bremer, M. (2012). Math 261A -Spring 2012. Math 261A -Spring 2012, 1, 18–36. http://mezeylab.cb.bscb.cornell.edu/labmembers/documents/supplement 5 - multiple regression.pdf
Carmen, G. (2015). A Study about Using E-learning Platform ( Moodle ) in University Teaching Process. Procedia - Social and Behavioral Sciences, 180(November 2014), 426–432. https://doi.org/10.1016/j.sbspro.2015.02.140
Chewe, P. (2018). Faculty perception of Moodle software as a teaching tool at the University of Zambia. Zambia (ICT) Journal, 2(1), 25–34.
Chourishi, D. (2015). Effective E-Learning through Moodle Moodle for E-learning. 1(March 2012), 34–38.
Clarke-okah, W., Ferreira, F., & Kwan, A. (2009). ICTs for Higher Education ICTs for Higher Education.
Costa, C., Alvelos, H., & Teixeira, L. (2012a). The Use of Moodle e-learning Platform: A Study in a Portuguese University. Procedia Technology, 5(December), 334–343. https://doi.org/10.1016/j.protcy.2012.09.037
Costa, C., Alvelos, H., & Teixeira, L. (2012b). The Use of Moodle e-learning Platform: A Study in a Portuguese University. Procedia Technology, 5(May 2014), 334–343. https://doi.org/10.1016/j.protcy.2012.09.037
Creswell, J. W. (1998). A model for qualitative research design. Qualitative Research Design, 1–22.
Dansoh, A., Oteng, D., & Frimpong, S. (2017). Challenges Associated With Project Teams in Managing Variations on Construction Projects. Procs 6th International Conference on Infrastructure Development (ICIDA) in Africa, April, 121–131. https://doi.org/ISSN 2026-6650
Ekundayo, S. (2019). Do demographic characteristics moderate the acceptance and use of the Moodle learning system among business students ? Olayemi Abdullateef Aliyu , Chris Arasanmi Toi Ohomai Institute of Technology , New Zealand Samuel Ekundayo Eastern Institute of Technol. International Journal of Education and Development Using Information and Communication Technology (IJEDICT), 15(1), 165–178.
França, R. M., Emília, A., Oliveira, F. De, Dahmer, A., & Barreto, L. (2012). MonSys - Monitoring System for Students and Tutors of Postgraduate Courses of UNASUS / UFMA in Distance mode using Moodle. 14–15.
Grover, V. (2015). ThoughtsGolden Research Thoughts. International Multidisciplinary Research Journal, 4(March), 1–8.
Handayanto, A., Supandi, S., & Ariyanto, L. (2018). Teaching using moodle in mathematics education. Journal of Physics: Conference Series, 1013(1), 1–3. https://doi.org/10.1088/1742-6596/1013/1/012128
Hsu, H. (2012). The Acceptance of Moodle : An Empirical Study Based on UTAUT. 3(December), 44–46. https://doi.org/10.4236/ce.2012.38b010
Ibrahim, M. (2013). The Art of Data Analysis. The Art of Data Analysis, January, 98–104. https://doi.org/10.1002/9781118413357
Jebari, K., Boussedra, F., & Ettouhami, A. (2017). Teaching “information systems management” with moodle. International Journal of Emerging Technologies in Learning, 12(4), 4–16. https://doi.org/10.3991/ijet.v12i04.6183
Jones, K. P., & Jones, K. P. (2015). Impacts on Faculty Workload During a Learning Management System Transition This is to certify that the doctoral dissertation by.
Journal, I., & Engineering, O. F. (2015). International journal of engineering sciences & research technology. International Journal of Engineering Sciences & Research Technology, 4(1), 2–5.
Kim, E., Park, H., & Jang, J. U. (2019). Development of a class model for improving creative collaboration based on the online learning system (Moodle) in Korea. Journal of Open Innovation: Technology, Market, and Complexity, 5(3), 1–12. https://doi.org/10.3390/joitmc5030067
Liu, J. (2013). E-learning in English classroom : Investigating factors impacting on ESL ( English as Second Language ) college students ’ acceptance and use of the Modular Object-Oriented Dynamic Learning Environment ( Moodle ).
Lubua, E. W., & Semlambo, A. (2017). The influence of the ease of use and perceived usefulness to the adoption of mobile money services in SMEs in Tanzania and. Information Technologist (The), 14(January 2018), 131–139.
Luoga, E. T. (2014). Critical success factors for adoption of web-based learning management systems in Tanzania Edda Tandi Lwoga Muhimbili University of Health and Allied Sciences , Tanzania. International Journal of Education and Development Using Information and Communication Technology, 10(1), 4–21.
Macharia, J. K. N., & Pelser, T. G. (2014). Key factors that influence the diffusion and infusion of information and communication technologies in Kenyan higher education. Studies in Higher Education, 39(4), 695–709. https://doi.org/10.1080/03075079.2012.729033
Megel, M. E., & Heermann, J. A. (2018). Methods of data collection. Plastic Surgical Nursing, 14(2), 109–110. https://doi.org/10.1097/00006527-199406000-00014
Mtebe, J. S. (2014). Acceptance and Use of eLearning Solutions in Higher Education in East Africa. In The Electronic Journal of Information Systems in Developing Countries (Issue 18).
Murgor, T. K. (2015). Challenges Facing Adoption of Information Communication Technology in African Universities. Journal of Education and Practice, 6(25), 62–68. http://www.library.ohio.edu/ezpauth/redir/athens.php?http%3A%2F%2Fsearch.ebscohost.com%2Flogin.aspx%3Fdirect%3Dtrue%26db%3Deric%26AN%3DEJ1078515%26site%3Deds-live%26scope%3Dsite
Muries, B. J. J. (2017). Explaining Electronic Learning Management Systems (ELMS) Continued Usage Intentions among Facilitators in Higher Education Institutions (HEIs) in Tanzania. International Journal of Education and Development Using Information and Communication Technology, 13(1), 123–141.
Mutua, N. (2015). Gender Issues in Information Technology. International Journal of Mechanical Engineering Research & Applications, 1(3-August 2013), 1–7. https://www.researchgate.net/publication/271272607
Mwakyusa, W. P. (2016). Impediments of E-learning Adoption in Higher Learning Institutions of Tanzania : An Empirical Review. 7(30), 152–160.
Nyeko, J. S., & Ogenmungu, C. (2017). Determinants of Electronic Learning Adoption in Higher Institutions of Learning in Uganda: A Learners’ Perspective. Global Journal of Computer Science and Technology, 17(1), 2017.
Ohei, K. N., & Brink, R. (2019). A framework development for the adoption of information and communication technology web technologies in higher education systems. SA Journal of Information Management, 21(1), 1–12. https://doi.org/10.4102/sajim.v21i1.1030
Ping, C. (2017). Learning.
Pramana, E. (2018). Determinants of the a Doption of M Obile L Earning S Ystems Among U Niversity S Tudents. Journal of Information Technology Education Research, 17, 365–398.
Radovan, M., & Kristl, N. (2017). Acceptance of technology and its impact on teacher’s activities in virtual classroom: Integrating UTAUT and CoI into a combined model. Turkish Online Journal of Educational Technology, 16(3), 11–22.
Raman, A., Don, Y., Khalid, R., & Rizuan, M. (2014). Usage of learning management system (Moodle) among postgraduate students: UTAUT model. Asian Social Science, 10(14), 186–192. https://doi.org/10.5539/ass.v10n14p186
Rosaline, S., & Wesley, J. R. (2017). Factors affecting students’ adoption of ICT tools in higher education institutions: An Indian context. International Journal of Information and Communication Technology Education, 13(2), 82–94. https://doi.org/10.4018/IJICTE.2017040107
Schober, P., & Schwarte, L. A. (2018). Correlation coefficients: Appropriate use and interpretation. Anesthesia and Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ANE.0000000000002864
Seifu, K. (2020). Determinants of information and communication technology integration in teaching-learning process at Aksum University. Cogent Education, 7(1). https://doi.org/10.1080/2331186X.2020.1824577
Taherdoost, H. (2018). Sampling Methods in Research Methodology; How to Choose a Sampling Technique for Research. SSRN Electronic Journal, 5(September), 18–27. https://doi.org/10.2139/ssrn.3205035
Tan, D. S. P., Ang, J. E., & Kaye, S. B. (2008). Discovering Statistics Using SPSS. In Advances in Experimental Medicine and Biology (Vol. 622). https://doi.org/10.1007/978-0-387-68969-2_13
Technology, C. (2015). Using Moodle in secondary education : A case study of the course “ Research Project ” in Greece Panagiotis Stasinakis Michail Kalogiannakis. 11(3), 50–64.
Umek, L., Aristovnik, A., Tomaževič, N., & Keržič, D. (2015). Analysis of selected aspects of students performance and satisfaction in a moodle-based e-learning system environment. Eurasia Journal of Mathematics, Science and Technology Education, 11(6), 1495–1505. https://doi.org/10.12973/eurasia.2015.1408a
UNESCO UIS. (2014). Information and Communication Technology (ICT) in Education in Asia. In Journal of Communication (Issue 22). https://doi.org/10.15220/978-92-9189-148-1-en
Wong, C. C., & Hiew, P. L. (2005). Diffusion of mobile entertainment in Malaysia: Drivers and barriers. Proceedings - WEC’05: 3rd World Enformatika Conference, 5, 263–266.