Abstract
Virtual learning environments during the pandemic have made it possible to support the originally face-to-face modalities in education at all levels. The teaching and learning processes require educational strategies that make it possible to take classrooms to the virtual world and be as effective as in the face-to-face setting. The objective of this work is to determine a virtual classroom design model that generates a positive effect on the motivation and performance of the participants. A descriptive methodology with quantitative approach is developed using the survey technique in two courses of first academic cycle of engineering careers at the Salesian Polytechnic University in the city of Guayaquil, during two academic periods, one from May to September 2020, another from October 2020 to February 2021, and five courses during May to September 2021. The analysis determined the relationship of the virtual classroom design, with the order, graphic line, formats, and amount of resources, with the motivation and performance of the participants. It is concluded the positive effect that the learning activities have, making them more meaningful for the student, in relation to the model of their presentation, generating an intention of appropriation and belonging on the part of the participant, due to its immediate comprehension and ease of realization. This study presents a virtual classroom design model, as well as a set of digital educational media and meaningful learning activities for virtual environments on Moodle, which have proven to be effective in their application.
Keywords
- Instructional design
- Technology enhanced learning
- e-learning
- COVID-19
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References
Abd Elrahman, M.G.S., Hassan, A., Gunied, H., Al Saedi, K.M.A., Mohammed, F.A.: The usage of E-learning among mass communication students. In: Musleh Al-Sartawi, A.M.A. (ed.) The Big Data-Driven Digital Economy: Artificial and Computational Intelligence. SCI, vol. 974, pp. 47–57. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-73057-4_4
Ashrafi, A., Zareravasan, A., Rabiee Savoji, S., Amani, M.: Exploring factors influencing students’ continuance intention to use the learning management system (LMS): a multi-perspective framework. Interact. Learn. Environ. (2020). https://doi.org/10.1080/10494820.2020.1734028
Wang, R., Chen, L., Solheim, I.: Modeling dyslexic students’ motivation for enhanced learning in E-learning systems. ACM Trans. Interact. Intell. Syst. 10 (2020). https://doi.org/10.1145/3341197
Lin, C.-L., Jin, Y.Q., Zhao, Q., Yu, S.-W., Su, Y.-S.: Factors influence students’ switching behavior to online learning under COVID-19 pandemic: a push–pull–mooring model perspective. Asia-Pac. Educ. Res. 30(3), 229–245 (2021). https://doi.org/10.1007/s40299-021-00570-0
Kim, E.J., Kim, J.J., Han, S.H.: Understanding student acceptance of online learning systems in higher education: application of social psychology theories with consideration of user innovativeness. Sustain 13, 1–14 (2021). https://doi.org/10.3390/su13020896
Miller, K.A., Deci, E.L., Ryan, R.M.: Intrinsic motivation and self-determination in human behavior. Contemp. Sociol. 17, 253 (1988). https://doi.org/10.2307/2070638
Torres-Toukoumidis, A., Carrera, P., Balcazar, I., Balcazar, G.: Descriptive study of motivation in gamification experiences from higher education: systematic review of scientific literature. Univers. J. Educ. Res. 9, 727–733 (2021). https://doi.org/10.13189/ujer.2021.090403
Yamani, H.A.: A Conceptual framework for integrating gamification in eLearning systems based on instructional design model. Int. J. Emerg. Technol. Learn. 16, 14–33 (2021). https://doi.org/10.3991/ijet.v16i04.15693
Ma, L., Lee, C.S.: Evaluating the effectiveness of blended learning using the ARCS model. J. Comput. Assist. Learn. jcal.12579 (2021). https://doi.org/10.1111/jcal.12579
Llerena-Izquierdo, J., Ayala-Carabajo, R.: University teacher training during the COVID-19 emergency: the role of online teaching-learning tools. In: Rocha, Á., Ferrás, C., López-López, P.C., Guarda, T. (eds.) ICITS 2021. AISC, vol. 1331, pp. 90–99. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-68418-1_10
Saleem, A.N., Noori, N.M., Ozdamli, F.: Gamification applications in E-learning: a literature review. Technol. Knowl. Learn., 1–21 (2021). https://doi.org/10.1007/s10758-020-09487-x
Al Ghawail, E.A., Ben Yahia, S., Alrzini, J.R.: Gamification model for developing E-learning in Libyan higher education. In: Uskov, V.L., Howlett, R.J., Jain, L.C. (eds.) Smart Education and e-Learning 2021. SIST, vol. 240, pp. 97–110. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-2834-4_9
Bernik, A.: Gamification framework for E-learning systems in higher education. Teh. Glas. 15, 184–190 (2021). https://doi.org/10.31803/tg-20201008090615
Echeverría Rodríguez, L., Cobos, R.: The impact of a motivation booster in blended learning experiences in computer science education. Rev. EIA. 18, 1–12 (2021). https://doi.org/10.24050/reia.v18i35.1320
Llerena-Izquierdo, J., Atiaja-Balseca, L.: Gamification within the learning evaluation process using Ardora at the Salesian Polytechnic University (Guayaquil, Ecuador). In: Botto-Tobar, M., Montes León, S., Camacho, O., Chávez, D., Torres-Carrión, P., Zambrano Vizuete, M. (eds.) ICAT 2020. CCIS, vol. 1388, pp. 139–150. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-71503-8_11
Wang, Y., Jiang, Y.L.: Research on learning behavior based on ARCS learning motivation model. Adv. Sci. Technol. 105, 356–363 (2021). https://doi.org/10.4028/www.scientific.net/ast.105.356
Goksu, I., Islam Bolat, Y.: Does the ARCS motivational model affect students’ achievement and motivation? Meta-Anal. Rev. Educ. 9, 27–52 (2021). https://doi.org/10.1002/rev3.3231
Bacher-Hicks, A., Goodman, J., Mulhern, C.: Inequality in household adaptation to schooling shocks: covid-induced online learning engagement in real time. J. Public Econ. 193, 104345 (2021). https://doi.org/10.1016/j.jpubeco.2020.104345
Aditya, D.S.: Embarking digital learning due to COVID-19: are teachers ready? J. Technol. Sci. Educ. 11, 104–116 (2021). https://doi.org/10.3926/jotse.1109
De La Serna-Tuya, A.S., Salgado-Gutierrez, D., Ochoa-Garcia, J., Mora-Lopez, A.F., Garcia-Bejar, L.: Digital Tools for virtual courses for university teachers affected by COVID-19. In: Proceedings - 10th International Conference on Virtual Campus, JICV 2020. Institute of Electrical and Electronics Engineers Inc. (2020). https://doi.org/10.1109/JICV51605.2020.9375698
Urakova, S.: ICT and the new teaching and learning spaces: from new pedagogical models to virtual teaching and learning environments. Жypнaл инocтpaнныx языкoв и лингвиcтики 2 (2021)
Kahambing, J.G.S.: Time to reopen schools: COVID-19, health disparity and education. J. Public Health (Bangkok) (2021). https://doi.org/10.1093/pubmed/fdab205
Azubuike, O.B., Adegboye, O., Quadri, H.: Who gets to learn in a pandemic? Exploring the digital divide in remote learning during the COVID-19 pandemic in Nigeria. Int. J. Educ. Res. Open. 2, 100022 (2021). https://doi.org/10.1016/j.ijedro.2020.100022
Hudlicka, E.: To feel or not to feel: the role of affect in human-computer interaction. Int. J. Hum. Comput. Stud. 59, 1–32 (2003). https://doi.org/10.1016/S1071-5819(03)00047-8
Llerena, J., Ayala-Carabajo, R.: Significant learning activities (ASA) in the modality of face-to-face studies with integration of virtual educational media in Engineering careers. In: Proceedings of the 15th Latin American Conference on Learning Technologies, LACLO 2020, pp. 1–9 (2020). https://doi.org/10.1109/LACLO50806.2020.9381134
Keller, J.: Motivational design of instruction. Instr. -Design Theor. Model. 1, 386–434 (1983)
Okey, J.R., Santiago, R.S.: Integrating instructional and motivational design. Perform. Improv. Q. 4, 11–21 (1991). https://doi.org/10.1111/j.1937-8327.1991.tb00500.x
Lock, J., Lakhal, S., Cleveland-Innes, M., Arancibia, P., Dell, D., De Silva, N.: Creating technology-enabled lifelong learning: a heutagogical approach. Br. J. Educ. Technol. (2021). https://doi.org/10.1111/bjet.13122
Alamri, H.A., Watson, S., Watson, W.: Learning technology models that support personalization within blended learning environments in higher education. TechTrends 65(1), 62–78 (2020). https://doi.org/10.1007/s11528-020-00530-3
Yang, W., Li, Q., Wang, X.: The effect of powerpoint theme color on learners’ learning effectiveness and emotions. In: 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 510–512. IEEE (2021). https://doi.org/10.1109/CSCWD49262.2021.9437633
Nurminen, M., Leppänen, L., Väätäjä, H., Ihantola, P.: Search of the emotional design effect in programming revised. In: Lavoué, É., Drachsler, H., Verbert, K., Broisin, J., Pérez-Sanagustín, M. (eds.) EC-TEL 2017. LNCS, vol. 10474, pp. 434–440. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-66610-5_39
Llerena Izquierdo, J.: Uso de AVAC en la Universidad Politécnica Salesiana. https://dspace.ups.edu.ec/handle/123456789/10913
Kiewra, K.A., Kim, S. Il, Risch, N., Mayer, R.E., Dubois, N.F., Christensen, M.: Effects of advance organizers and repeated presentations on students’ learning. J. Exp. Educ. 65, 147–159 (1996). https://doi.org/10.1080/00220973.1997.9943789
Imhof, B., Scheiter, K., Edelmann, J., Gerjets, P.: How temporal and spatial aspects of presenting visualizations affect learning about locomotion patterns. Learn. Instr. 22, 193–205 (2012). https://doi.org/10.1016/j.learninstruc.2011.10.006
Hancock-Niemic, M.A., Lin, L., Atkinson, R.K., Renkl, A., Wittwer, J.: Example-based learning: exploring the use of matrices and problem variability. Education Tech. Research Dev. 64(1), 115–136 (2015). https://doi.org/10.1007/s11423-015-9403-8
Colliot, T., Jamet, É.: Improving students’ learning by providing a graphic organizer after a multimedia document. Br. J. Educ. Technol. 52, 252–265 (2021). https://doi.org/10.1111/bjet.12980
Bouman, M.: A strange kind of marriage: the challenging journey of entertainment-education collaboration. In: Frank, L.B., Falzone, P. (eds.) Entertainment-Education Behind the Scenes, pp. 61–83. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-63614-2_5
Llerena-Izquierdo, J., Barcia-Ayala, O., Ayala-Carabajo, R.: Faculty training through crowdlearning for emerging online education. In: 2020 IEEE ANDESCON, pp. 1–7 (2020). https://doi.org/10.1109/ANDESCON50619.2020.9272103
Lorenzo Moledo, M., Quiroga-Carrillo, A., Santos Rego, M.A.: La educación en Red: realidades diversas, horizontes comunes, XVII Congreso Nacional y IX Iberoamericano de Pedagogía, Santiago de Compostela, 7–9 de julio de 2021, libro de resúmenes. Universidad de Santiago de Compostela, Servicio de Publicaciones e Intercambio Científico (2021). https://doi.org/10.15304/cc.2021.1393
Acknowledgments
We thank the young people of the times involved in this work, the Universidad Politécnica Salesiana for the support received and the Vice-Rectorate for Research of the university for the constant monitoring and accompaniment.
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Llerena-Izquierdo, J. (2022). Virtual Classroom Design Model and Its Relation to Student Motivation and Performance in a Moodle Learning Environment During the Emergency of COVID-19. In: Berrezueta, S., Abad, K. (eds) Doctoral Symposium on Information and Communication Technologies - DSICT. Lecture Notes in Electrical Engineering, vol 846. Springer, Cham. https://doi.org/10.1007/978-3-030-93718-8_3
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