International Journal of Nonlinear Analysis and Applications

Evaluation of the effectiveness of e-learning systems in teaching mathematics (Case study: 10th grade mathematical physics and experimental sciences students in North Khorasan province- Iran)

Document Type : Research Paper

Author

Department of Mathematics Education, Farhangian University, Tehran, Iran

Abstract

The purpose of the present study was to investigate the effectiveness of e-learning systems in teaching mathematics to tenth-grade students in both fields of study mathematical physics and experimental sciences disciplines in North Khorasan province (Northeastern Iran). This research was conducted as applied research and by a descriptive-survey method. The statistical population of the present study includes all tenth-grade students of both mathematical physics and experimental sciences in North Khorasan province (2900 students) and finally, about 340 students were selected using Krejcie and Morgan selection table. The research data collection tool is the standard e-learning questionnaire of Watkins et al. \cite{24}. This questionnaire includes 25 questions and 6 factors (access to technology, motivation, ability to learn through the media, Internet group conversations, and important issues for success in e-learning). In order to test the research hypotheses, the structural equation modelling method with LISREL software version 8.8 was used. The results of factor analysis showed that among the items of skills and continuous communication only two items were ma1 and ma4, among the items of motivation, only item a1, among the items of access to technology only item d2, and among the items of the ability to learn through the media, the two items t1 and t2, among the items of Internet group conversations, only the item g3 and among the items of important issues for success in e-learning, the two items m1 and m3 were approved. Because the factor load of these items is more than 0.4 and also the value of the computational t-statistic is more than the standard value of 1.96. In other words, the more students are equipped with these items, the more successful they will be in learning mathematics through electronic systems. The results also showed that among the variables affecting the evaluation of the success of electronic systems, only the value of the motivation t-statistic (1.97) is higher than the standard value of 1.96. In other words, the results indicate that the more motivated students are, the more they will learn mathematics through electronic systems.

Keywords

[1] A.M. Al-Asmari and M.S. Rabb Khan, E-learning in Saudi Arabia: past, present and future, Near Middle East. J. Res. Educ. 2014 (2014), no. 1, 1–11.
[2] F. Al-Balooshi and E.M. Alkhalifa, Multi-modality as a cognitive tool,special issue: Innovations in learning technology, J. Int. Forum Educ. Technol. Soc. 5 (2015), no. 4, 40–55.
[3] D. Al-Fraihat, M. Joy, R. Masadeh and J. Sinclair, Evaluating E-learning systems success: An empirical study, Comput. Human Behav. 102 (2020), no. 2, 67–86.
[4] A. Alhabeeb and J. Rowley, Critical success factors for eLearning in Saudi Arabian universities, Int. J. Educ. Manag. 31 (2017), 131–147.
[5] H. Al-Harrasi, Z. Al-Khanjari and M. Sarrab, Proposing a new design approach for M-learning applications, Int. J. Software Eng. Appl.9 (2015), no. 11, 11–24.
[6] M. Alksasbeh, M. Abuhelaleh, M.A. Almaiah, M. Al-Jaafreh and A.A. Karaka, Towards a model of quality features for mobile social networks apps in learning environments: An extended information system success model, Int. J. Interact. Mobile Technol. 13 (2019), no. 5, 75.
[7] M.A. Almaiah, M.M.A. Jalil and M. Man, Empirical investigation to explore factors that achieve high quality of mobile learning system based on students perspectives, Eng. Sci. Tech.: Int. J. 19 (2016), no. 3, 1314–1320.
[8] B. Al-Shargabi, O. Sabri and S. Aljawarneh, The adoption of an e-learning system using information systems success model: A case study of Jazan University, PeerJ Comput. Sci. 7 (2021), e723.
[9] S. Ghalyan and A. Zalpour, Identifying factors of success in e-learning case study: Physical education students at Shahid Chamran University of Ahvaz, J. Educat. Dev. Jund-i-Shapour 10 (2019), no. 2, 135–143.
[10] L. Ghoraeian, The success of e-learning systems in using the virtual education system for interactors in improving the quality of e-learning, Third Conf. Manag. Educ. Soc. Psyc. Sci. Mashhad, 2021.
[11] A. Ibrahim, Factors affecting the adoption of ICT by administrators in the university for development studies tamale: Empirical evidence from the UTAUT model, Int. J. Sustain. Manag. Info. Tech. 4 (2018), no. 1, p. 1.
[12] B. Kim and M.J. Park, Effect of personal factors to use ICTs on e-learning adoption: Comparison between learner and instructor in developing countries, Info. Tech. Dev. 24 (2018), no. 4, 706–732.
[13] Y.H. Lee, Y.C. Hsieh and C.N. Hsu, Adding innovation diffusion theory to the technology acceptance model: Supporting employees’ intentions to use e-learning systems, J. Educ. Tech. Soc. 14 (2011), no. 4.
[14] J.K. Lee and W.K. Lee, The relationship of e-learners self-regulatory efficacy and perception of e-Learning environmental quality, Comput. Human Behav. 24 (2008), no. 1, 32–47.
[15] E. Lwoga, Critical success factors for adoption of web-based learning management systems in Tanzania, Int. J. Educ. Dev. ICT 10 (2014), no. 1.
[16] H.D. Martin, S.S. Modi and S.S. Feldman, Barriers and facilitators to PDMP iS success in the US: A systematic review, Drug Alcohol Depend. 219 (2021), no. 1, 108460.
[17] J. Martins, F. Branco, R. Gonalves, M. Au-Yong-Oliveira, T. Oliveira, M. Naranjo-Zolotov and F. Cruz-Jesus, Assessing the success behind the use of education management information systems in higher education, Telemat. Inf. 38 (2019), 182–193.
[18] M.A. Mirjalili, The study of the status of factors affecting the e-learning quality assurance from the student teachers point of view, Interdiscip. J. Virtual Learn. Med. Sci. 12 (2021), no. 4.
[19] K. Olyaei, A. Ramezani Esfeden M. Jahantighi and R. Shirzadi, Introduction of a model to evaluate and explain the current status of e-learning system in Iran, Tvto J. Skills Train. 3 (2015), no. 11, 49–65.
[20] A. Ouajdouni, C. Khalid and O. Boubker, Measuring e-learning systems success: Data from students of higher education institutions in Morocco, Data Brief. 35 (2021), 106807.
[21] M. Salam and M.S. Farooq, Does sociability quality of web-based collaborative learning information system influence students satisfaction and system usage? Int. J. Educat. Tech. Higher Educ. 17 (2020), no. 1, 1–39.
[22] P.C. Sun, R.J. Tsai, G. Finger, Y.Y. Chen and D. Yeh, What drives a successful elearning? An empirical investigation of the critical factors in uencing learner satisfaction, Comput. Educ. 50 (2008), no. 4, 1183–1202.
[23] J. Wang, D. Solan and A. Ghods, Distance learning success a perspective from socio-technical systems theory, Behav. Info. Tech. 29 (2011), no. 3, 321–329.
[24] R. Watkins, D. Leigh and D. Trainer, Assessing readiness for e-learning, Perf. Improv. Quart. 17 (2004), no. 4, 66–79.
International Journal of Nonlinear Analysis and Applications
Volume 13, Issue 2
July 2022
Pages 2585-2596
  • Receive Date: 07 January 2022
  • Revise Date: 05 March 2022
  • Accept Date: 09 April 2022