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Year 2021, Volume: 5 Issue: 1, 13 - 18, 31.07.2021

Abstract

References

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Assessing the quality of e-learning with the help of two different perspectives among high school students (Case study: High schools in Jahrom, Iran)

Year 2021, Volume: 5 Issue: 1, 13 - 18, 31.07.2021

Abstract

With the increasing growth of information and the continuous efforts of communities to facilitate communication and the growing need of communities for learning and education, through platforms such as the Internet and cyberspace, without the need for direct contact, people can remotely learn and exchange knowledge. Many disadvantaged areas that in the past lacked proper education and learning can now access vast educational resources and add other resources themselves. The scope of these areas is expanding day by day so that the presence of big data in any business or service where a large amount of data is produced, and the use of communities is of particular importance. The E-learning management system is a virtual educational software. With the help of this system, people can enroll in training courses. In this study, two methods that examine the effect of e-learning are evaluated. Two Likert-Like methods have been selected due to the spread of Coronavirus in Iran and the virtualization of school classrooms. Most of the effort of this article is based on estimating the educational quality of students. In the first phase, about 10 schools and 661 students have been selected. From the selected students, three groups of online, combined, and offline were selected and the desired examinations were performed according to the results of their exams. According to the results, unfortunately, only 25% of the students had a good quality of education, which shows the cost and ineffectiveness of this education.

References

  • [1] Gurstein, M. (2000). Community informatics: Enabling community uses of information and communications technology. In Community Informatics: Enabling Communities with information and communications technologies (pp. 1-30). IGI Global.
  • [2] Baum, S., Ma, J., & Payea, K. (2013). Education pays 2013. The College Board.
  • [3] Almarzooq, Z. I., Lopes, M., & Kochar, A. (2020). Virtual learning during the COVID-19 pandemic: a disruptive technology in graduate medical education.
  • [4] Heide, M., von Platen, S., Simonsson, C., & Falkheimer, J. (2018). Expanding the scope of strategic communication: Towards a holistic understanding of organizational complexity. International Journal of Strategic Communication, 12(4), 452-468.
  • [5] Xu, Q., Wang, N., Tian, B., Xing, L., & Bai, W. (2020, February). Challenges and Countermeasures of Education in the Era of Big Data. In Proceedings of the 9th International Conference on Educational and Information Technology (pp. 215-218).
  • [6] Freeze, R. D., Alshare, K. A., Lane, P. L., & Wen, H. J. (2019). IS success model in e-learning context based on students' perceptions. Journal of Information systems education, 21(2), 4.
  • [7] Ratnawati, N., & Idris, I. (2020). Improving Student Capabilities through Research-Based Learning Innovation on E-Learning System. International Journal of Emerging Technologies in Learning (iJET), 15(04), 195-205.
  • [8] Mayer, R. E. (2019). Searching for the role of emotions in e-learning. Learning and Instruction, 101213.
  • [9] Cantabella, M., Martínez-España, R., Ayuso, B., Yáñez, J. A., & Muñoz, A. (2019). Analysis of student behavior in learning management systems through a Big Data framework. Future Generation Computer Systems, 90, 262-272.
  • [10] Huda, M., Maseleno, A., Teh, K. S. M., Don, A. G., Basiron, B., Jasmi, K. A., ... & Ahmad, R. (2018). Understanding Modern Learning Environment (MLE) in Big Data Era. International Journal of Emerging Technologies in Learning (iJET), 13(05), 71-85.
  • [11] Klašnja‐Milićević, A., Ivanović, M., & Budimac, Z. (2017). Data science in education: Big data and learning analytics. Computer Applications in Engineering Education, 25(6), 1066-1078.
  • [12] Ducange, P., Pecori, R., Sarti, L., & Vecchio, M. (2016, October). Educational big data mining: how to enhance virtual learning environments. In International Joint Conference SOCO’16-CISIS’16-ICEUTE’16 (pp. 681-690). Springer, Cham.
  • [13] Wang, Y. (2016). Big opportunities and big concerns of big data in education. TechTrends, 60(4), 381-384.
  • [14] Udupi, P. K., Malali, P., & Noronha, H. (2016, March). Big data integration for transition from e-learning to smart learning framework. In 3rd MEC International Conference on Big Data and Smart City (ICBDSC) (pp. 1-4). IEEE.
  • [15] Logica, B. & Magdalena, R. (2015). Using Big Data in the Academic Environment. Procedia Economics and Finance 33. 7th International Conference, The Economies of Balkan and Eastern Europe Countries in the changed world, EBEEC.
  • [16] Janazs, S., Dowd, K.O., Schneider, B. (2016). Interpersonal Skills in Organization, 5th edition. New York. McGraw-Hill
  • [17] Marin-Marin, J.A, et al. (2019). Big Data in Education. A Bibliometric Review. MDPI. Social Sciences Journal, volume 8, issue 8.
  • [18] Adam, K. et al. (October 2018). Big Data and Learning Analytics: A Big Potential to Improve E-Learning. Advanced Science Letters. American Scientific Publishers.
  • [19] Malmi, L., Korhonen, A., & Saikkonen, R. (2002). Experiences in automatic assessment on mass courses and issues for designing virtual courses. ACM SIGCSE Bulletin, 34(3), 55-59.
  • [20] DiPaola, S., & Akai, C. (2006). Designing an adaptive multimedia interactive to support shared learning experiences. In ACM SIGGRAPH 2006 Educators program (pp. 14-es).
  • [21] Uhl-Bien, M., & Ospina, S. M. (Eds.). (2012). Advancing relational leadership research: A dialogue among perspectives. IAP.
  • [22] Berry, S. (2019). Teaching to Connect: Community-Building Strategies for the Virtual Classroom. Online Learning, 23(1), 164-183.
There are 22 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Keivan Basiri This is me

Ehsan Amiri 0000-0001-6058-7083

Zahra Ghasemi This is me 0000-0002-2978-9303

Saeed Amiri

Publication Date July 31, 2021
Submission Date January 29, 2021
Published in Issue Year 2021 Volume: 5 Issue: 1

Cite

IEEE K. Basiri, E. Amiri, Z. Ghasemi, and S. Amiri, “Assessing the quality of e-learning with the help of two different perspectives among high school students (Case study: High schools in Jahrom, Iran)”, IJMSIT, vol. 5, no. 1, pp. 13–18, 2021.