Archive / Volume 10, Issue 4, October 2020

Teachers’ Perceptions about the Impact of Moodle in the Educational Field Considering Data Science

Ricardo-Adán Salas-Rueda 1 * , Ana-Libia Eslava-Cervantes 1, Estefanía Prieto-Larios 2

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Abstract

Today, Learning Management Systems (LMS) such as Moodle facilitate the teaching-learning process, promote the organization of creative activities from anywhere and allow the active participation of the students before, during and after the face-to-face sessions. The objective of this quantitative research is to analyze the teachers’ perceptions about the impact of Moodle in the educational field considering data science and machine learning. The independent variable is the use of Moodle during the organization of new school activities and the dependent variables are the performance of the activities inside and outside the classroom and the participation and communication during the educational process. The participants are 70 teachers from the National Autonomous University of Mexico (UNAM). The results of machine learning (linear regression) indicate that Moodle positively influences the participation and communication during the educational process. Likewise, this LMS positively influences the performance of the activities inside and outside the classroom. In particular, Moodle allows improving the educational field through the realization of the online exams and discussion forums, diffusion of the tasks and consultation of the contents at any time. Data science identifies 3 predictive models on the impact of Moodle in the educational field. In fact, the decision tree technique establishes the conditions on the use of this LMS considering the characteristics of the teachers (sex and maximum degree of study). The implications of this research allow affirming that teachers have the opportunity to create, organize and carry out various creative and active activities through this LMS. Finally, teachers can use Moodle to update the activities of the courses and build new educational spaces that allow the active role of the students during the learning process.

Keywords

Moodle teaching technology data science machine learning

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.30935/ojcmt/8498

Online Journal of Communication and Media Technologies, Volume 10, Issue 4, October 2020, Article No: e202023

Published Online: 30 Aug 2020

Article Views: 787

Article Downloads: 239

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References

  • Aikina, T. Y., & Bolsunovskaya, L. M. (2020). Moodle-Based Learning: Motivating and Demotivating Factors. International Journal of Emerging Technologies in Learning, 15(2), 239-248. https://doi.org/10.3991/ijet.v15i02.11297
  • Al-Azawei, A., Baiee, W. R., & Mohammed, M. A. (2019). Learners’ Experience Towards e-Assessment Tools: A Comparative Study on Virtual Reality and Moodle Quiz. International Journal of Emerging Technologies in Learning, 14(5), 34-49. https://doi.org/10.3991/ijet.v14i05.9998
  • Cobanoglu, A. A. (2018). Student teachers’ satisfaction for blended learning via Edmodo learning management system. Behaviour & Information Technology, 37(2), 133-144. https://doi.org/10.1080/0144929X.2017.1417481
  • Dreamson, N., Thomas, G., Hong, A. L., & Kim, S. (2018). The perceptual gaps in using a learning management system: Indigenous cultural perspectives. Technology, Pedagogy and Education, 27(4), 431-444. https://doi.org/10.1080/1475939X.2018.1490665
  • El-Seoud, S. A., Ahmad, A. M., & El-Sofany, H. F. (2009). Mobile Learning Platform Connected to Moodle using J2ME. International Journal of Interactive Mobile Technologies, 3(2), 46-54.
  • Ferreira, J. M., & Cardoso, A. M. (2005). A Moodle extension to book online labs. International Journal of Online and Biomedical Engineering, 1(2), 1-4.
  • González, S. M. G., Pintor-Chávez, M. M., & Gómez-Zermeño, M. G. (2016). Indicators for the evaluation of the level of satisfaction of the use of blackboard educational platform. Campus Virtuales, 5(1), 36-47.
  • Gutman, M. (2017). Facilitating pre-service teachers to develop Regulation of Cognition with Learning Management System. Educational Media International, 54(3), 199-214. https://doi.org/10.1080/09523987.2017.1385164
  • Horvat, A., Dobrota, M., Krsmanovic, M., & Cudanov, M. (2015). Student perception of Moodle learning management system: a satisfaction and significance analysis. Interactive Learning Environments, 23(4), 515-527. https://doi.org/10.1080/10494820.2013.788033
  • Islam, A. K. (2015). The moderation effect of user-type (educators vs. students) in learning management system continuance. Behaviour & Information Technology, 34(12), 1160-1170. https://doi.org/10.1080/0144929X.2015.1004651
  • 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
  • Kyzy, Z. N., Ismailova, R., & Dundar, H. (2018). Learning management system implementation: a case study in the Kyrgyz Republic. Interactive Learning Environments, 26(8), 1010-1022. https://doi.org/10.1080/10494820.2018.1427115
  • Kotama, N. D., Saputra, K. O., & Linawati, L. (2019). Proposed Model of Multiplayer Matching Game Plugins Using Websocket in Moodle. International Journal of Emerging Technologies in Learning, 14(11), 194-201. https://doi.org/10.3991/ijet.v14i11.10190
  • Limongelli, C., Lombardi, M., Marani, A., Sciarrone, F., & Temperini, M. (2016). A recommendation module to help teachers build courses through the Moodle Learning Management System. New Review of Hypermedia and Multimedia, 22(1), 58-82. https://doi.org/10.1080/13614568.2015.1077277
  • Mafuna, L., & Wadesango, N. (2016). Exploring Lecturers’ Acceptance Level of Learning Management System (LMS) at Applying the Extended Technology Acceptance Model (TAM). Journal of Social Sciences, 48(1), 63-70. https://doi.org/10.1080/09718923.2016.11893571
  • Oskouei, R. J., & Kor, N. M. (2017). Proposing a Novel Adaptive Learning Management System: An Application of Behavior Mining & Intelligent Agents. Intelligent Automation & Soft Computing, 23(2), 199-205. https://doi.org/10.1080/10798587.2016.1186429
  • Rehatschek, H., Holzl, G., & Fladischer, M. (2011). The Set-Up and Implementation of Fully Virtualized Lessons with an Automated Workflow Utilizing VMC/Moodle at the Medical University of Graz. International Journal of Emerging Technologies in Learning, 6(4), 47-51. http://dx.doi.org/10.3991/ijet.v6i4.1784
  • Romero-Díaz, J. J., Sola-Martínez, T., & Trujillo-Torres, J. M. (2015). Instructional Capabilities of Moodle Tools for Production of Courses and Educational Materials. Digital Education Review, 28, 59-76.
  • Salas-Rueda, R. A. (2020). Impact of the WampServer application in Blended learning considering data science, machine learning, and neural networks. E-Learning and Digital Media, 17(3), 199-217. https://doi.org/10.1177/2042753020901730
  • Salas-Rueda, R. A. (2019). Construction and evaluation of a web application for the educational process on Normal Distribution considering the science of data and machine learning. Research in Learning Technology, 27, 1-24. https://doi.org/10.25304/rlt.v27.2085
  • Salas-Rueda, R. A., & Lugo-García, J. L. (2019). Impact of the flipped classroom during the higher education process on the derivatives considering the science of data and learning machine. EDMETIC, Revista de Educación Mediática y TIC, 8(1), 147-170. https://doi.org/10.21071/edmetic.v8i1.9542
  • Salas-Rueda, R. A., Salas-Rueda, E. P., & Salas-Rueda, R. D. (2020). Analysis and design of the web game on descriptive statistics through the ADDIE model, data science and machine learning. International Journal of Education in Mathematics, Science and Technology, 8(3), 245-260. https://doi.org/10.46328/ijemst.v8i3.759
  • Shah, M., & Cheng, M. (2019). Exploring factors impacting student engagement in open access courses. Open Learning: The Journal of Open, Distance and e-Learning, 34(2), 187-202. https://doi.org/10.1080/02680513.2018.1508337
  • Shdiafat, A., & Obeidallah, R. (2019). Quiz Tool Within Moodle and Blackboard Mobile Applications. International Journal of Interactive Mobile Technologies, 13(8), 32-41. https://doi.org/10.3991/ijim.v13i08.10552
  • Silva-Ordaz, M., García-Ramírez, T., Guzmán-Flores, T., & Chaparro-Ramírez, R. (2016). Study of Moodle’s tools to develop 21st Century skills. Campus Virtuales, 5(2), 58-69.
  • Then, M., Wallenborn, B., Ianniello, B. R., Vu, D. V., Fuchs, M., & Hemmje, M. (2016). Innovative Authoring Tools for Online-Courses with Assignments. International Journal of Emerging Technologies in Learning, 11(2), 12-22. https://doi.org/10.3991/ijet.v11i02.5108
  • Tumbleson, B. E. (2016). Collaborating in Research: Embedded Librarianship in the Learning Management System. The Reference Librarian, 57(3), 224-234. https://doi.org/10.1080/02763877.2015.1134376
  • Veytia-Bucheli, M. G., & Leyva-Ortiz, J. A. (2016). Teaching literature with Moodle in the Bachelor of Education. Apertura, 9(1), 64-79.
  • Vidrio-Talavera, P. D., Gómez-Zermeño, M. G., & Zambrano-Izquierdo, D. (2015). Didactic assessment of Moodle platform in high school. Apertura, 7(1), 1-14.