We are happy to announce the HCLA23 workshop accepted papers.
Inaya El Alaoui, Célina Treuillier and Anne Boyer
Víctor Alonso-Prieto, Yannis Dimitriadis, Sara L. Villagrá-Sobrino, Alejandra Martínez-Monés, Paraskevi Topali and Alejandro Ortega-Arranz
Carla Barreiros, Philipp Leitner, Martin Ebner, and Stefanie Lindstaedt
Inas Redjem, Célina Treuillier and Anne Boyer
Shoeb Joarder, Mohamed Amine Chatti, Seyedemarzie Mirhashemi and Qurat Ul Ain
Esteban Villalobos, Mar Pérez-Sanagustín, Julien Broisin
Proceedings will be submitted to CEUR-WS for publication.
University of Valladolid, Spain
Graz University of Technology, Austria
Universitat Pompeu Fabra, Spain
Universitat Pompeu Fabra, Spain
New York University, US
Utah State University, US
Monash University, Australia
University of Duisburg-Essen, Germany
Buckingham Shum, S., Ferguson, R. and Martinez-Maldonado R. (2019). Human-Centred Learning Analytics. Journal of Learning Analytics, JLA, 6(2): 1-9.
Dimitriadis, Y., Martínez-Maldonado, R., & Wiley, K. (2021). Human-Centered Design Principles for Actionable Learning Analytics. Research on E-Learning and ICT in Education: Technological, Pedagogical and Instructional Perspectives, 277-296.
Ochoa, X., & Wise, A. F. (2020). Supporting the Shift to Digital with Student-Centered Learning Analytics. Educational Technology Research and Development, 1-5.
Chatti, M. A., Yücepur, V., Muslim, A., Guesmi, M., & Joarder, S. (2021). Designing Theory-Driven Analytics-Enhanced Self-Regulated Learning Applications. In Visualizations and Dashboards for Learning Analytics (pp. 47-68). Springer, Cham.
Sarmiento, J. P., & Wise, A. F. (2022, March). Participatory and Co-Design of Learning Analytics: An Initial Review of the Literature. In LAK22: 12th International Learning Analytics and Knowledge Conference (pp. 535-541).
Shneiderman, B. (2022). Human-Centered AI. Oxford University Press.
Dollinger, M., Liu, D., Arthars, N., & Lodge, J. (2019). Working Together in Learning Analytics Towards the Co-Creation of Value. Journal of Learning Analytics, 6(2), 10–26.
Wise, A. F., & Jung, Y. (2019). Teaching with Analytics: Towards a Situated Model of Instructional Decision-Making. Journal of Learning Analytics, 6(2), 53-69.
Holstein, K., McLaren, B. M., & Aleven, V. (2019). Co-Designing a Real-Time Classroom Orchestration Tool to Support Teacher–AI Complementarity. Journal of Learning Analytics, 6(2), 27–52.
Lawrence, L., Guo, B., Yang, K., Echeverria, V., Kang, Z., Bathala, V., Li, C., Huang, W., Rummel, N., & Aleven, V. (2022). Process to co-design AI-based orchestration tools to support dynamic transitions: Design narratives through Conjecture Mapping. In International Society of the Learning Sciences: 15th Annual Conference on Computer Supported Collaborative Learning (pp. 139-146)
Ahn, J., Campos, F., Hays, M., & Digiacomo, D. (2019). Designing in Context: Reaching Beyond Usability in Learning Analytics Dashboard Design. Journal of Learning Analytics, 6(2), 70–85.
Rehrey, G., Shepard, L., Hostetter, C., Reynolds, A. M., & Groth, D. (2019). Engaging Faculty in Learning Analytics: Agents of Institutional Culture Change. Journal of Learning Analytics, 6(2), 86–94.
Carlos G. Prieto-Alvarez et al., "Co-designing learning analytics tools with learners". In Jason M. Lodge, Jared Cooney Horvath, & L. Corrin (Eds.), Learning analytics in the classroom: Translating learning analytics research for teachers. (London: Routledge, 2018).