Perceived Usefulness, Self-Efficacy, and Emotional Engagement: Does It Affect Student’s Satisfaction while using the Platform?
DOI:
https://doi.org/10.35445/alishlah.v13i1.536Keywords:
Perceived Usefulness, Self Efficacy, Emotional Engagement, Student SatisfactionAbstract
References
Akyol, Z., & Garrison, D. R. (2008). the Development of a Community of Inquiry Over Time in an Online Course: Understanding the Progression and Integration of Social, Cognitive and Teaching Presence. Online Learning, 12(3). http://doi.org/10.24059/olj.v12i3.72
Al-Azawei, A., Parslow, P., & Lundqvist, K. (2017). Investigating the effect of learning styles in a blended e-learning system: An extension of the technology acceptance model (TAM). Australasian Journal of Educational Technology, 33(2), 1–23. http://doi.org/10.14742/ajet.2741
Al-Rahmi, W. M., Othman, M. S., & Yusuf, L. M. (2015). Exploring the factors that affect student satisfaction through using E-learning in Malaysian higher education institutions. Mediterranean Journal of Social Sciences, 6(4S1), 299–310. http://doi.org/10.5901/mjss.2015.v6n4s1p299
Alkhateeb, M. A., & Abdalla, R. A. (2021). Factors influencing student satisfaction towards using learning management system moodle. International Journal of Information and Communication Technology Education, 17(1), 138–153. http://doi.org/10.4018/IJICTE.2021010109
Almahamid, S., & Abu Rub, F. (2011). Factors that determine continuance intention to use e-learning system: an empirical investigation. International Conference on Telecommunication Technology and Applications Proc. of CSIT, 5, 242–246. Retrieved from http://www.ipcsit.net/vol5/43-ICCCM2011-A20017.pdf
Almarashdeh, I. (2016). Sharing instructors experience of learning management system: A technology perspective of user satisfaction in distance learning course. Computers in Human Behavior, 63, 249–255. http://doi.org/10.1016/j.chb.2016.05.013
Almarashdeh, I., Alsmadi, M. K., Jaradat, G., Althunibat, A., Albahussain, S. A., Qawqzeh, Y., … Eldaw, K. E. (2018). Looking inside and outside the system: Examining the factors influencing distance learners satisfaction in learning management system. Journal of Computer Science, 14(4), 453–465. http://doi.org/10.3844/jcssp.2018.453.465
Alomari, M. M., El-Kanj, H., Alshdaifat, N. I., & Topal, A. (2020). A framework for the impact of human factors on the effectiveness of learning management systems. IEEE Access, 8, 23542–23558. http://doi.org/10.1109/ACCESS.2020.2970278
Alshare, K. A., Freeze, R. D., Lane, P. L., & Wen, H. J. (2011). The Impacts of System and Human Factors on Online Learning Systems Use and Learner Satisfaction. Decision Sciences Journal of Innovative Education, 9(3), 437–461. http://doi.org/10.1111/j.1540-4609.2011.00321.x
Andrade, M. S., Miller, R. M., Kunz, M. B., & Ratliff, J. M. (2019). Online learning in schools of business: The impact of quality assurance measures. Journal of Education for Business, 0(0), 1–8. http://doi.org/10.1080/08832323.2019.1596871
Bailey, K. D., & Morais, D. B. (2005). Exploring the use of blended learning in tourism education. Journal of Teaching in Travel and Tourism, 4(4), 23–36. http://doi.org/10.1300/J172v04n04_02
Bates, R., & Khasawneh, S. (2007). Self-efficacy and college students’ perceptions and use of online learning systems. Computers in Human Behavior, 23(1), 175–191. http://doi.org/10.1016/j.chb.2004.04.004
Binyamin, S., Rutter, M., & Smith, S. (2017). Factors influencing the students’ use of learning management systems: A case study of King Abdulaziz University. Proceedings of the International Conference on E-Learning, ICEL, (June), 289–297.
Bolliger, D. U., Inan, F. A., & Wasilik, O. (2014). Development and validation of the online instructor satisfaction measure (OISM). Educational Technology and Society, 17(2), 183–195.
Chen, W. S., & Tat Yao, A. Y. (2016). An Empirical Evaluation of Critical Factors Influencing Learner Satisfaction in Blended Learning: A Pilot Study. Universal Journal of Educational Research, 4(7), 1667–1671. http://doi.org/10.13189/ujer.2016.040719
Cigdem, H., & Ozturk, M. (2016). Factors Affecting Student s ’ Behavioral Intention to Use LMS at a Turkish Post-Secondary Vocational School, 17(3).
Compeau, D. R., & Higgins, C. A. (1995). ASTM E2368-10, Standard Practice for Strain Controlled Thermomechanical Fatigue Testing. MIS Quarterly, 19(2), 189–211. Retrieved from https://www.astm.org/Standards/E2368.htm
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. http://doi.org/10.2307/249008
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95. http://doi.org/10.1287/isre.3.1.60
Eom, S. B. (2014). Understanding e-learners’ satisfaction with learning management systems. Bulletin of the Technical Committee on Learning Technology, 16(2–3), 10–13.
Featherman, M., Thatcher, J., Wright, R. T., & Zimmer, J. C. (2011). The Role of Perceived System Quality as Educators’ Motivation to Continue E-learning System Use. AIS Transactions on Human-Computer Interaction, 3(1), 1–25.
Filak, V. F., & Sheldon, K. M. (2008). Teacher support, student motivation, student need satisfaction, and college teacher course evaluations: Testing a sequential path model. Educational Psychology, 28(6), 711–724. http://doi.org/10.1080/01443410802337794
Gao, B. W., Jiang, J., & Tang, Y. (2020). The effect of blended learning platform and engagement on students’ satisfaction—— the case from the tourism management teaching. Journal of Hospitality, Leisure, Sport and Tourism Education, 27(September), 100272. http://doi.org/10.1016/j.jhlste.2020.100272
Ghazal, S., Aldowah, H., Umar, I., & Bervell, B. (2018). Acceptance and satisfaction of learning management system enabled blended learning based on a modified DeLone-McLean information system success model. International Journal of Information Technology Project Management, 9(3), 52–71. http://doi.org/10.4018/IJITPM.2018070104
Ghozali, I., & Latan, H. (2012). Partial least squares : konsep, teknik dan aplikasi SmartPLS 2.0 M3 untuk penelitian empiris / Hengky Latan, Imam Ghozali. Semarang: Badan Penerbit Universitas Diponegoro.
Ghozali, I., & Latan, H. (2015). Partial least squares: Konsep, teknik, dan aplikasi menggunakan program smart PLS 3.0 (2nd ed.). Semarang: Universitas Diponegoro.
Halverson, L. R., & Graham, C. R. (2019). Learner engagement in blended learning environments: A conceptual framework. Online Learning Journal, 23(2), 145–178. http://doi.org/10.24059/olj.v23i2.1481
Ibrahim Abbas, Z. (2018). Blended Learning and Student Satisfaction: An Investigation into an EAP Writing Course. Advances in Language and Literary Studies, 9(1), 102. http://doi.org/10.7575/aiac.alls.v.9n.1p.102
Igbaria, M., & Iivari, J. (1995). The effects of self-efficacy on computer usage. Omega, 23(6), 587–605. http://doi.org/10.1016/0305-0483(95)00035-6
Islam, A. K. M. N., & Azad, N. (2015). Satisfaction and continuance with a learning management system. The International Journal of Information and Learning Technology, 32(2), 109–123. http://doi.org/10.1108/ijilt-09-2014-0020
Jung, I., Choi, S., Lim, C., & Leem, J. (2002). Effects of different types of interaction on learning achievement, satisfaction and participation in web-based instruction. Innovations in Education and Teaching International, 39(2), 153–162. http://doi.org/10.1080/14703290252934603
Kucuk, S., & Richardson, J. C. (2019). A structural equation model of predictors of online learners’ engagement and satisfaction. Online Learning Journal, 23(2), 196–216. http://doi.org/10.24059/olj.v23i2.1455
Kuo, Y. C., Walker, A. E., Belland, B. R., Schroder, K. E. E., & Kuo, Y. T. (2014). A case study of integrating interwise: Interaction, internet self-efficacy, and satisfaction in synchronous online learning environments. International Review of Research in Open and Distance Learning, 15(1), 161–181. http://doi.org/10.19173/irrodl.v15i1.1664
Lin, H. C., Chiu, Y. H., Chen, Y. J., Wuang, Y. P., Chen, C. P., Wang, C. C., … Ho, W. H. (2017). Continued use of an interactive computer game-based visual perception learning system in children with developmental delay. International Journal of Medical Informatics, 107(July), 76–87. http://doi.org/10.1016/j.ijmedinf.2017.09.003
Manwaring, K. C. (2017). Emotional and Cognitive Engagement in Higher Education Classrooms. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7636&context=etd
Mouakket, S., & Bettayeb, A. M. (2015). Investigating the factors influencing continuance usage intention of Learning management systems by university instructors: The Blackboard system case. International Journal of Web Information Systems, 11(4), 491–509. http://doi.org/10.1108/IJWIS-03-2015-0008
Ohliati, J., & Abbas, B. S. (2019). Measuring students satisfaction in using learning management system. International Journal of Emerging Technologies in Learning, 14(4), 180–189. http://doi.org/10.3991/ijet.v14.i04.9427
Pellas, N. (2014). The influence of computer self-efficacy, metacognitive self-regulation and self-esteem on student engagement in online learning programs: Evidence from the virtual world of Second Life. Computers in Human Behavior, 35, 157–170. http://doi.org/10.1016/j.chb.2014.02.048
Prifti, R. (2020). Self–efficacy and student satisfaction in the context of blended learning courses. Open Learning, 0(0), 1–15. http://doi.org/10.1080/02680513.2020.1755642
Sahni, J. (2019). Applying technology to enhance student satisfaction and engagement: Case of business students. TEM Journal, 8(2), 623–629. http://doi.org/10.18421/TEM82-41
Seddon, P. B. (1997). A Respecification and Extension of the DeLone and McLean Model of IS Succes. Information Systems Research, 8, 240–253.
Skinner, E. A., & Belmont, M. J. (1993). Motivation in the Classroom: Reciprocal Effects of Teacher Behavior and Student Engagement Across the School Year. Journal of Educational Psychology, 85(4), 571–581. http://doi.org/10.1037/0022-0663.85.4.571
Surjanti, J., Sakti, N. C., & Fitrayati, D. (2020). Virtual-based learning attitude: The mediator of individual factors on intention to use. International Journal of Innovation, Creativity and Change, 12(4), 165–186.
UNICEF. (2020). Rencana Kembali Ke Sekolah di Masa Covid-19.
Urbach, N., & Ahleman, F. (2010). Structural equation modeling in information systems research using Partial Least Squares. Journal Of Information Technology Theory And Application, 11(2), 5–40.
Wolverton, C. C., Guidry Hollier, B. N., & Lanier, P. A. (2020). The impact of computer self efficacy on student engagement and group satisfaction in online business courses. Electronic Journal of E-Learning, 18(2), 175–188. http://doi.org/10.34190/EJEL.20.18.2.006
Wong, K. K.-K. (2019). Mastering Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS in 38 Hours. Bloomington.
Wu, J., & Liu, W. (2013). An Empirical Investigation of the Critical Factors Affecting Students’ Satisfaction in EFL Blended Learning. Journal of Language Teaching and Research, 4(1), 176–185. http://doi.org/10.4304/jltr.4.1.176-185
Xiao, J., & Wilkins, S. (2015). The effects of lecturer commitment on student perceptions of teaching quality and student satisfaction in Chinese higher education. Journal of Higher Education Policy and Management, 37(1), 98–110. http://doi.org/10.1080/1360080X.2014.992092
Downloads
Published
How to Cite
Issue
Section
Citation Check
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.



