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oai:uvadoc.uva.es:10324/635092025-02-28T12:03:31Zcom_10324_1165com_10324_931com_10324_894col_10324_1337

e-FeeD4Mi: Automating tailored LA-informed feedback in Virtual Learning Environments Ortega Arranz, Alejandro Topali, Paraskevi Asensio Pérez, Juan Ignacio Villagrá Sobrino, Sara Lorena Martínez Monés, Alejandra Dimitriadis Damoulis, Ioannis Producción Científica The provision of personalized and timely feedback can become challenging when shifting from face-to-face to online learning. Feedback is not only about providing support to students, but also about identifying when and which students need what kind of support. Usually, educators carry out such activities manually. However, the manual identification, personalization and provision of feedback might turn unmanageable, especially in large-scale environments. Previous works proposed the use of data-driven tools to automate the feedback provision with the active involvement of human agents in its design. Nevertheless, to the best of our knowledge, these tools do not guide instructors in the process of feedback design and sense-making of the data-driven information. This paper presents e-FeeD4Mi, a web-based tool developed to support instructors in the design and automatic enactment of feedback in multiple virtual learning environments. We developed e-FeeD4Mi following a Design-Based Research approach and its potential for adoption has been evaluated in two evaluation studies. 2023-12-09T11:57:42Z 2023-12-09T11:57:42Z 2022 info:eu-repo/semantics/conferenceObject In: Hilliger, I., Muñoz-Merino, P.J., De Laet, T., Ortega-Arranz, A., Farrell, T. (eds) Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption. EC-TEL 2022. Lecture Notes in Computer Science, vol 13450. Springer, Cham. 978-3-031-16289-3 https://uvadoc.uva.es/handle/10324/63509 10.1007/978-3-031-16290-9_39 eng https://link.springer.com/chapter/10.1007/978-3-031-16290-9_39 info:eu-repo/semantics/openAccess Springer