Ceres Morais, Daniela Pedrosa (CIDTFF), Vitor Rocio, José Cravino (CIDTFF) & Leonel Morgado | Technology and Innovation in Learning, Teaching and Education. TECH-EDU 2020. Communications in Computer and Information Science, pp. 210-222
Abstract:
We used BPMN diagrams to identify indicators that can assist teachers in their intervention actions to support students’ self-regulation and co-regulation in an asynchronous e-learning context. The use of BPMN modeling, by making explicit the tasks and procedures implicit in the intervention of the e-learning teacher, also exposed which data were available for developing decision-support indicators, as well as the relevant moments for carrying out interventions. Such indicators can help e-learning teachers focus their interventions to support self-regulation and co-regulation of learning, as well as enabling the creation of live data dashboards to support decision-making for those interventions, thus this process can contribute to devise better instruments for teacher intervention in support of self-regulation and co-regulation of student learning.
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Referência:
Morais, C., Pedrosa, D., Rocio, V., Cravino, J., Morgado, L. (2021). Using BPMN to Identify Indicators for Teacher Intervention in Support of Self-regulation and Co-regulation of Learning in Asynchronous e-learning. In A. Reis., J. Barroso, J. B. Lopes, T. Mikropoulos, C.W. Fan (eds.), Technology and Innovation in Learning, Teaching and Education. TECH-EDU 2020. Communications in Computer and Information Science (vol. 1384, pp. 210-222). Springer. https://doi.org/10.1007/978-3-030-73988-1_16
