Journal Publications

  • Er, E., Dimitriadis, Y., Gasevic, D. (2020). A collaborative learning approach to dialogic peer feedback: a theoretical framework. Assessment & Evaluation in Higher Education. [Published online]. DOI: 10.1080/02602938.2020.1786497.
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  • Er, E., Dimitriadis, Y., Gasevic, D. (2020). Collaborative peer feedback and learning analytics: theory-oriented design for supporting class-wide interventions. Assessment & Evaluation in Higher Education. [Published online]. DOI: 10.1080/02602938.2020.1764490.
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  • Er, E., Gómez-Sánchez, E., Dimitriadis, Y., Bote-Lorenzo, M.L., Asensio-Pérez, J.I., Álvarez-Álvarez,S. (2019). Aligning learning design and learning analytics through instructor involvement: A MOOC case study, Interactive Learning Environments, 27(5-6), 685-698.
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  • Er, E., Gómez-Sánchez, E., Dimitriadis, Y., Bote-Lorenzo, M.L., Asensio-Pérez, J.I., Álvarez-Álvarez,S. (2019). Generating actionable predictions regarding MOOC learners’ engagement in peer reviews, Behaviour & Information Technology, 39(12), 1356-1373.
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Conference Proceedings

  • Er, E. (2020). Self and peer monitoring in peer feedback: Instructors’ perspective. In Proceedings of Learning Analytics Summer Institute (LASI) 2020, Valladolid, Spain, 1-8.
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  • Er, E., Dimitriadis, Y., Gasevic, D. (2019). Synergy: A Web-Based Tool to Facilitate Dialogic Peer Feedback. In Proceedings of Fourteenth European Conference on Technology Enhanced Learning. Delft, Netherlands.
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  • Er, E., Dimitriadis, Y., Gasevic, D. (2019). Synergy: An online platform for dialogic peer feedback at scale. In Proceedings of Thirteenth International Conference on Computer Supported Collaborative Learning. Lyon, France.
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  • Er, E., Dimitriadis, Y., Gasevic, D. (2019). Scaling dialogic peer feedback via learning analytics and scripts. In Proceedings of Thirteenth International Conference on Computer Supported Collaborative Learning. Lyon, France.
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  • Er, E., Gómez-Sánchez,E., Bote-Lorenzo, M.L., Asensio-Pérez, J.I., Dimitriadis, Y. (2019). Informing the design of collaborative activities in MOOCS using actionable predictions. In Proceedings of the 2019 Learning at Scale conference. Chicago, USA. 
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