Abstract
The evaluation of the quality of teaching is a critical aspect of an educational system, since it is the basis for knowing which elements work well and which ones work poorly. Thus, through the results of the evaluation, actions can be articulated to improve the system. The evaluation methods are quite developed in face-to-face education, but not so in the case of online education. This article presents a proposal for an evaluation model for online education based on the analysis of the activity developed by students in the context of a virtual campus based on Moodle. This model has been implemented through a web application that allows managing the evaluation of the subjects. For this, two files extracted from Moodle; the grader report and the log of the activity of the virtual subject to be evaluated are taken as input. From them, the quality criteria defined in the model are automatically calculated. Likewise, the system allows users to manually evaluate other types of criteria that can be dynamically configured. In this sense, another feature of the tool is its ability to configure and adapt to different versions of Moodle and to new quality criteria.
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References
De Medio, C., Limongelli, C., Sciarrone, F., Temperini, M.: MoodleREC: a recommendation system for creating courses using the moodle e-learning platform. Comput. Hum. Behav. 104, 106168 (2020)
Ehlers, U., Goertz, L., Hildebrandt, B., Pawlowski, J.M.: Quality in e-learning. Voc. Train. Berlin-Cedefop 29, 3–15 (2004)
Fernández-Pampillón Cesteros, A.M.: UNE 71362: calidad de los materiales educativos digitales. Revista AENOR (329) (2017)
Gutiérrez-Pérez, B.M., Martín-García, A.V.: Evaluation of quality in blended learning training. In: Martín-García, A.V. (ed.) Blended Learning: Convergence between Technology and Pedagogy. LNNS, vol. 126, pp. 91–111. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-45781-5_5
Hadullo, K., Oboko, R., Omwenga, E.: A model for evaluating e-learning systems quality in higher education in developing countries. Int. J. Educ. Dev. ICT 13(2), 185 (2017)
Jiang, L., Wang, X.: Optimization of online teaching quality evaluation model based on hierarchical PSO-BP neural network. Complexity (2020)
Littenberg-Tobias, J., Reich, J.: Evaluating access, quality, and equity in online learning: a case study of a MOOC-based blended professional degree program. Internet High. Educ. 47, 100759 (2020)
Martínez-Caro, E., Cegarra-Navarro, J.G., Cepeda-Carrión, G.: An application of the performance-evaluation model for e-learning quality in higher education. Total Qual. Manag. Bus. Excell. 26(5–6), 632–647 (2015)
Muñoz, C., García-Peñalvo, F.J., Morales, E.M., Conde, M.Á., Seoane, A.M.: Improving learning object quality: moodle HEODAR implementation. Int. J. Dist. Educ. Technol. (IJDET) 10(4), 1–16 (2012)
Ortiz-López, A., Olmos-Migueláñez, S., Sánchez-Prieto, J.C.: e-Learning quality assessment in higher education: a mapping study. In: Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality, pp. 833–838, October 2020
Wu, D., Wu, L., Palmer, A., Zhou, P.: Automatic evaluation of online learning interaction content using domain concepts. The Electronic Library (2020)
Acknowledgments
I would like to thank Guillermo Duque, Yuan Xu Jiang, and Ana María Fernández-Pampillón Cesteros for their participation in carrying out this work. This work has been partially supported by European Commission through the project “colMOOC: Integrating Conversational Agents and Learning Analytics in MOOCs” (588438-EPP-1-2017-1-EL-EPPKA2-KA).
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Sarasa-Cabezuelo, A., Llobet, S.C. (2022). A Tool for Evaluating the Quality of Online Teaching. In: Guralnick, D., Auer, M.E., Poce, A. (eds) Innovations in Learning and Technology for the Workplace and Higher Education. TLIC 2021. Lecture Notes in Networks and Systems, vol 349. Springer, Cham. https://doi.org/10.1007/978-3-030-90677-1_37
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