Computer Self-Efficacy and Effectiveness of Quipper Learning Management System

John Harry S. Caballo; Jobert C.  Regidor; Jude Rafael S.  Alayacyac; Jelly E.  Abellanosa; Giebe Joshua G.  Monajan

doi:10.55927/fjcis.v3i2.11526

Authors

John Harry S. Caballo Faculty, The University of Mindanao, Davao City
Jobert C. Regidor Faculty, Daniel R. Aguinaldo National High School, Davao City
Jude Rafael S. Alayacyac Faculty, The University of Mindanao, Davao City
Jelly E. Abellanosa Faculty, The University of Mindanao, Davao City
Giebe Joshua G. Monajan Faculty, The University of Mindanao, Davao City

DOI:

https://doi.org/10.55927/fjcis.v3i2.11526

Keywords:

Computer Self-Efficacy, Learning Management System, Quipper LMS

Abstract

Blockchain is an advanced mechanism that allows transparent information for a business network. Normally databases in this technology are stored in blocks that are linked together in a chain. It is used as a facilitator for the process of recording transactions and tracking assets of a business network. It will help share data for a collective group. With blockchain, cloud service and transactional data from multiple sources can be easily collected, integrated, and shared. This technology concerning India presently is used by government banking institutions as well as the government storing and sharing data for a wider group. Blockchain is popular in finance, especially money and time. Recently India has made efforts to become a society with digitalized setup by building a large citizen-scale digital public infrastructure, which is a positive push for the government. The basic motive for introducing a high ended technology like blockchain is for maintaining transparency, and to increase the speed of interactions with individuals. This paper has made attempted to study the mechanism adopted by the Indian government under a blockchain and how well it has been utilized. It has also attempted to give a clear picture, of what all developments have made with blockchain and what sectors are much concentrated with blockchain

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References

Adzharuddin, N.A. (2013). Learning Management System (LMS) among university students: does it work? International Journal of e-Education, e-Business, e-Management and e-Learning.

Alqurashi, E. (2019). Predicting student satisfaction and perceived learning within online learning environments. Distance Education, 40(1), 133–148. doi:10.1080/01587919.2018.1553562

Amankwah, F., Konin, D., Sarfo, F. (2017). Computer Self-Efficacy Among Senior High School Teachers in Ghana and the Functionality of Demographic Variables on their Computer Self-efficacy, TOJET: The Turkish Online Journal of Educational Technology, 16(1).

Jamil, W., Wahfiuddin, A., Ampa, A., & Ilmiah, I. (2019). The students' learning interest of Quipper School used by the teacher in teaching English: Descriptive research. Exposure: Jurnal Pendidikan Bahasa Inggris, 8, 141-157. https://doi.org/10.26618/exposure.v8i2.2800

Araka, E., Maina, E.M., Gitonga, R., & Oboko, R.O. (2021). University Students' Perception on the Usefulness of Learning Management System Features in Promoting Self-Regulated Learning in Online Learning.

Bhardwaj, J. (2019). Types of sampling in research. J Pract Cardiovasc Sci, 5(3), 157–163.

Binyamin, S. S., Rutter, M. J., & Smith, S. (2018). The Influence of Computer Self-Efficacy and Subjective Norms on the Students' Use of Learning Management Systems at King Abdulaziz University. International Journal of Information and Education Technology (IJIET), 8(10), 693–699. doi:10.18178/ijiet.2018.8.10.1124

Chaubey, A., & Bhattacharya, B. (2015). Learning Management System in Higher Education. International Journal for Science Technology and Engineering, 2, 158-162.

Creswell (2012), Descriptive correlational design: CHAPTER III RESEARCH METHODOLOGY, 3.1 Research Design, p. 338 http://repository.upi.edu/7096/7/S_ING_0900713_Chapter3.pdf

Davis, F.D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Massachusetts, United States: Sloan School of Management, Massachusetts Institute of Technology.

Fathema, N., Shannon, D., & Ross, M. (2015). Expanding the Technology Acceptance Model (TAM) to examine faculty use of Learning Management Systems (LMSs) in higher education institutions. Journal of Online Learning and Teaching, 11(2), 210–232.

Ganti, A. (2020). Correlation Coefficient. https://www.investopedia.com/terms/c/correlationcoefficient.asp

Ghazal, S., Aldowah, H., Umar, I., & Bervell, B. (2018). Acceptance and satisfaction of the 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. doi:10.4018/ IJITPM.2018070104

Ghilay, Y. (2017). Online learning in higher education. New York, NY: Nova Science Publishers

Hammouri, Q., & Abu-Shanab, E. (2018). Exploring Factors Affecting Users' Satisfaction Toward E-Learning Systems. International Journal of Information and Communication Technology Education, 14(1), 44–57. doi:10.4018/IJICTE.2018010104

Ilola E. (2018). A beginner's guide to standard deviation and standard error. https://s4be.cochrane.org/blog/2018/09/26/a-beginners-guide-to-standard-deviation-and standard-error/

Khan, A., 2018. Advantages and Disadvantages of Computer Skills for Students in their School Life. https://www.jagranjosh.com/articles/advantages-and-disadvantages-of-computer-skills-for-students-in-their-school-life-1517293374-1

Kurata, Y.B., Bano, R.M., & Marcelo, M.C. (2017). Effectiveness of Learning Management System Application in the Learnability of Tertiary Students in an Undergraduate Engineering Program in the Philippines.

Lasmanawati, E., Muktiarni, M., & Maosul, A. (2021). Analysis Learning Management System in Vocational Education. IOP Conference Series: Materials Science and Engineering, 1098.

Lee, J.A. (2008). The relationship of e-learners' self-regulatory efficacy and perception of e-learning environmental quality. Computers in Human Behavior, 24(1), 32-47.

Lewis, B., MacEntee, V.M., Delacruz, S., Englander, C., Jeffrey, T.R., Takach, E., Wilson, S.J., & Woodall, J. (2005). Learning Management Systems Comparison.

Liaw, S. S., & Huang, H. M. (2007). Developing a collaborative e-learning system based on users' perceptions. Lecture Notes in Computer Science, 4402, 751–759.

Mahariyanti, E., & Suyanto, S. (2018). The Effectiveness of using Quipper School Teaching Materials towards Students' Cognitive Outcomes of Eleventh Grade Students of MIPA. Advances in Social Science, Education and Humanities Research (ASSEHR), 330.

Morron, A. (2015). The Effect of Quipper School on the Performance of Grade 7 Students of Bacoor National High School – Gawaran in Teaching Mathematics.

Nel, L. (2010). Blended learning in South African undergraduate classrooms: directives for the effective use of a learning management system.

Rahman, M.E., Daud, M., & Ensimau, N.K. (2019). Learning Management System (LMS) in Teaching and Learning. The International Journal of Academic Research in Business and Social Sciences, 9.

Reed, P. (2014). Staff experience and attitudes towards technology-enhanced learning initiatives in one faculty of health and life sciences. Research in Learning Technology, 22, 1-23. doi: 10.3402/rlt.v22.22770

Salahuddin, A., Ajmal, F., & Saira (2020). Effectiveness of Learning Management System for Teaching English Language at Higher Education Level.

Simon, M. K., & Goes, J. (2011). Correlational research. https://pdf4pro.com/view/correlational-research-dissertationrecipes-com-17d6e5.html

Tarhini, A., Arachchilage, N., & Abbasi, M. (2015). A critical review of theories and models of technology adoption and acceptance in information system research. International Journal of Technology Diffusion, 6(4), 58–77. doi:10.4018/IJTD.2015100104

Vesin, B., Ivanović, M., & Budimac, Z. (2009). Learning management system for programming in Java.

Yusoff, M. Y. (2009). Individual Differences, Perceived Ease of Use, and Perceived Usefulness in E-Library Usage. Journal of Computer and Information Science, 2(1)