Human-centred learning analytics and AI in education: A systematic literature review (2024) Alfredo, R., Echeverria, V., Jin, Y., Yan, L., Swiecki, Z., Gašević, D., Martinez-Maldonado, R. Computers and Education: Artificial Intelligence, 6, art. no. 100215. [DOI] Q1 SJR 2023: 3.23
How teachers conceptualise shared control with an AI co-orchestration tool: A multiyear teacher-centred design process (2023) Lawrence, L., Echeverria, V., Yang, K., Aleven, V., Rummel, N. British Journal of Educational Technology, 55 (3), pp. 823-844. [DOI] Q1 SJR 2023: 2.43
Lessons Learnt from a Multimodal Learning Analytics Deployment In-The-Wild (2023) Echeverria, V.*co-first authors, Martinez-Maldonado, R..*co-first authors, Fernandez-Nieto, G., Yan, L., Zhao, L., Alfredo, R., Li, X., Dix, S., Jaggard, H., Wotherspoon, R., Osborne, A., Shum, S.B., Gašević, D. ACM Transactions on Computer-Human Interaction, 31 (1), art. no. 8 . [DOI] Q1 – SJR 2023: 1.84
Designing Hybrid Human-AI Orchestration Tools for Individual and Collaborative Activities: A Technology Probe Study (2023) Echeverria, V., Yang, K., Lawrence, L., Rummel, N., Aleven, V. IEEE Transactions on Learning Technologies, 16 (2), pp. 191-205. [DOI] Q1 – SJR 2023: 1.49
HuCETA: A framework for human-centered embodied teamwork analytics (2022) Echeverria, V., Martinez-Maldonado, R., Yan, L., Zhao, L., Fernandez-Nieto, G., Gašević, D., & Shum, S. B. IEEE Pervasive Computing, 22(1), pp. 39-49. [DOI] Q2 – SJR 2023: 1.49
Storytelling with learner data: Guiding student reflection on multimodal team data (2021) Fernandez-Nieto, G. M., Echeverria, V., Shum, S. B., Mangaroska, K., Kitto, K., Palominos, E., Axisa, C., & Martinez-Maldonado, R. IEEE Transactions on Learning Technologies, 14(5), pp. 695-708 [DOI] Q1 – SJR 2023: 1.288
Designing translucent learning analytics with teachers: An elicitation process (2022) Martinez-Maldonado, R., Elliott, D., Axisa, C., Power, T., Echeverria, V., & Buckingham Shum, S. Interactive Learning Environments, 30(6), 1077-1091. Routledge. [DOI]
Moodoo the tracker: Spatial Classroom Analyticsfor Characterising Teachers’ Pedagogical Approaches (2021) Martinez-Maldonado, R., Echeverria, V., Mangaroska, K., Shibani, A., Fernandez-Nieto, G., Schulte, J., & Buckingham Shum, S. International Journal of Artificial Intelligence in Education, pp. 1-27. [DOI]
What do you mean by collaboration analytics? A conceptual model (2021) Martinez-Maldonado, R., Gašević, D., Echeverria, V., Fernandez Nieto, G., Swiecki, Z., & Buckingham Shum, S. Journal of Learning Analytics. Society for Learning Analytics Research. [DOI]
What can analytics for teamwork proxemics reveal about positioning dynamics in clinical simulations? (2021) Fernandez-Nieto, G., Martinez-Maldonado, R., Echeverria, V., Kitto, K., An, P., & Buckingham Shum, S. Proceedings of the ACM on Human-Computer Interaction, 5 (CSCW1), pp 1-24. ACM. [DOI]
Where is the teacher? Digital analytics for classroom proxemics (2020) Martinez-Maldonado, R., Schulte, J., Echeverria, V., Gopalan, Y., & Shum, S. B. Journal of Computer Assisted Learning, 36(5), pp. 741-762. John Wiley & Sons [DOI]
Exploratory versus Explanatory Visual Learning Analytics: Driving Teachers’ Attention through Educational Data Storytelling (2018) Echeverria, V., Martinez-Maldonado, R., Buckingham Shum, S., Chiluiza, K., Granda, R., & Conati, C. Journal of Learning Analytics, 5(3), pp. 72-97. Society for Learning Analytics Research. [DOI]
Conference Proceedings – LONG PAPERS (peer-reviewed)
VizChat: Enhancing Learning Analytics Dashboards with Contextualised Explanations using Multimodal Generative AI Chatbots (2024) Yan, L., Zhao, L., Echeverria, V., Jin, Y., Alfredo, R., Li, X., Gašević, D., & Martinez-Maldonado, R.
Data Storytelling in Data Visualisation: Does it Enhance the Efficiency and Effectiveness of Information Retrieval and Insights Comprehension? (2024) Shao, H., Martinez-Maldonado, R., Echeverria, V., Yan, L., & Gasevic, D.
Epistemic Network Analysis for End-users: Closing the Loop in the Context of Multimodal Analytics for Collaborative Team Learning (2024) Zhao, L., Echeverria, V., Swiecki, Z., Yan, L., Alfredo, R., Li, X., Gasevic, D., Martinez-Maldonado, R. 14th International Conference on Learning Analytics and Knowledge, LAK 2024, pp. 90-100. [DOI]
TeamSlides: a Multimodal Teamwork Analytics Dashboard for Teacher-guided Reflection in a Physical Space (2024) Echeverria, V., Yan, L., Zhao, L., Abel, S., Alfredo, R., Dix, S., Jaggard, H., Wotherspoon, R., Osborne, A., Buckingham Shum, S., Gasevic, D., Martinez-Maldonado, R. 14th International Conference on Learning Analytics and Knowledge, LAK 2024, pp. 112-122. [DOI] Runner-up – Best paper nominee
Data Storytelling Editor: A Teacher-Centred Tool for Customising Learning Analytics Dashboard Narratives (2024) Fernandez-Nieto, G.M., Martinez-Maldonado, R., Echeverria, V., Kitto, K., Gašević, D., Buckingham Shum, S. 14th International Conference on Learning Analytics and Knowledge, LAK 2024, pp. 678-689. [DOI]
SLADE: A Method for Designing Human-Centred Learning Analytics Systems (2024) Alfredo, R., Echeverria, V., Jin, Y., Swiecki, Z., Gašević, D., Martinez-Maldonado, R. 14th International Conference on Learning Analytics and Knowledge, LAK 2024, pp. 24-34. [DOI]
Supporting Online Collaborative Work at Scale: A Mixed-Methods Study of a Learning Analytics Tool (2023) Ochoa, X., Echeverria, V., Carrillo, G., Heredia, V., Chiluiza, K. L@S 2023 – Proceedings of the 10th ACM Conference on Learning @ Scale, pp. 237-247. [DOI]
Pair-Up: Prototyping Human-AI Co-orchestration of Dynamic Transitions between Individual and Collaborative Learning in the Classroom (2023) Yang, K.B., Echeverria, V., Lu, Z., Mao, H., Holstein, K., Rummel, N., Aleven, V. 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, art. no. 453. [DOI]
TMBQ-LT: A student-facing learning tool to support time management skills (2023). Núñez, A.-G., Echeverria, V., Zúñiga-Prieto, M., Auria, B., & De Laet, T. International Conference on Computer Supported Education 2023, pp. 217-224. Scitepress. [DOI]
How do teachers use dashboards enhanced with data storytelling elements according to their data visualization literacy skills? (2023) Pozdniakov, S., Martinez-Maldonado, R., Tsai, Y.-S., Echeverria, V., Srivastava, N., & Gasevic, D. LAK23: 13th International Learning Analytics and Knowledge Conference, pp. 89-99. [DOI]
Co-Designing AI-Based Orchestration Tools to Support Dynamic Transitions: Design Narratives Through Conjecture Mapping (2022) Lawrence, L. E. M., Guo, B., Yang, K., Echeverria, V., Kang, Z., Bathala, V., Li, C., Huang, W., Aleven, V., & Rummel, N. 15th Annual Conference on Computer Supported Collaborative Learning, pp. 139-146 [DOI]
Surveying teachers’ preferences and boundaries regarding human-AI control in dynamic pairing of students for collaborative learning (2021) Yang, K. B., Lawrence, L. E. M., Echeverria, V., Guo, B., Rummel, N., & Aleven, V. 16th European Conference on Technology Enhanced Learning, EC-TEL 2021, pp. 260-274. Springer International Publishing. [DOI]
Exploring human-AI control over dynamic transitions between individual and collaborative learning (2020) Echeverria, V., Holstein, K., Huang, J., Sewall, J., Rummel, N., & Aleven, V. 15th European Conference on Technology Enhanced Learning, EC-TEL 2020, pp. 230-243. Springer International Publishing. [DOI]
Moodoo: Indoor positioning analytics for characterizing classroom teaching (2020) Martinez-Maldonado, R., Echeverria, V., Schulte, J., Shibani, A., Mangaroska, K., & Buckingham Shum, S. Artificial Intelligence in Education: 21st International Conference, AIED 2020, pp. 360-373. Springer International Publishing. [DOI]
From data to insights: A layered storytelling approach for multimodal learning analytics (2020) Martinez-Maldonado, R., Echeverria, V., Fernandez Nieto, G., & Buckingham Shum, S. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1-15. [DOI]
Towards collaboration translucence: Giving meaning to multimodal group data (2019) Echeverria, V., Martinez-Maldonado, R., & Buckingham Shum, S. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp. 1-16. [DOI] Acceptance rate: 22%
DBCollab: Automated feedback for face-to-face group database design (2017) Echeverria, V., Martinez-Maldonado, R., Chiluiza, K., & Buckingham Shum, S. Proceedings of the 25th International Conference on Computers in Education, ICCE 2017-Main Conference Proceedings. [DOI]
Driving data storytelling from learning design (2018) Echeverria, V., Martinez-Maldonado, R., Granda, R., Chiluiza, K., Conati, C., & Buckingham Shum, S. 8th International Conference on Learning Analytics and Knowledge, pp. 131-140. [DOI]
Portable tabletops: A low-cost pen-and-touch approach (2016) Wong-Villacres, M., Echeverria, V., Granda, R., & Garcia, K. C. Human-Computer Interaction. Interaction Platforms and Techniques: 18th International Conference, HCI International 2016, pp. 241-252. Springer International Publishing. [DOI]
Multi-tabletop System to Support Collaborative Design Assessment (2016) Luzardo, G., Echeverria, V., Quiñonez, Y., & Granda, R. Trends and Applications in Software Engineering: Proceedings of the 4th International Conference on Software Process Improvement CIMPS’2015, pp. 271-281. Springer International Publishing. [DOI]
Multimodal selfies: Designing a multimodal recording device for students in traditional classrooms (2015) Domínguez, F., Chiluiza, K., Echeverria, V., & Ochoa, X. Proceedings of the 2015 ACM on International Conference on multimodal interaction, pp. 567-574. [DOI]
Automatic labeling of forums using Bloom’s taxonomy (2013) Echeverria, V., Gomez, J. C., & Moens, M. -F. Advanced Data Mining and Applications: 9th International Conference, ADMA 2013, pp. 517-528. Springer Berlin Heidelberg. [DOI]
Conference Proceedings – SHORT PAPERS AND POSTERS (peer-reviewed)
Human-AI Collaboration in Thematic Analysis using ChatGPT: A User Study and Design Recommendations (2024) Yan, L., Echeverria, V., Nieto, G. F., Jin, Y., Swiecki, Z., Zhao, L., Gašević, D., & Martinez-Maldonado, R. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. [DOI]
Acknowledging power structures in the design of AI-based orchestration tools (2023) Lawrence, L. E. M., Echeverria, V., & Rummel, N. International Conference on Computer-Supported Collaborative Learning 2023, pp. 173-176. International Society of the Learning Sciences. [DOI]
Technology ecosystem for orchestrating dynamic transitions between individual and collaborative AI-tutored problem solving (2022) Yang, K. B., Lu, Z., Echeverria, V., Sewall, J., Lawrence, L., Rummel, N., & Aleven, V. International Conference on Artificial Intelligence in Education, pp. 673-678. Springer International Publishing. [DOI]
Analyzing Speech Data to Detect Work Environment in Group Activities. (2022) Barzola, V., Alvarado, E., Loja, C., Velez, A., Silva, I., & Echeverria, V. International Conference on Artificial Intelligence in Education, pp. 357-361. Springer International Publishing. [DOI]
An exploratory evaluation of a collaboration feedback report (2022) Echeverria, V., Wong-Villacres, M., Ochoa, X., & Chiluiza, K. LAK22: 12th International Learning Analytics and Knowledge Conference, pp. 478-484. [DOI]
“I need more motivation”: Engaging students in the gamification design process (2021) Barzola, V., Pichardo, H., Macías, J., Zambrano, D., & Echeverria, V. 16th European Conference on Technology Enhanced Learning, EC-TEL 2021, pp. 310-314. Springer International Publishing. [DOI]
Explorations of Designing Spatial Classroom Analytics with Virtual Prototyping. (2021) Jang, J., Lee, J., Echeverria, V., Lawrence, L. E. M., & Aleven, V. LAK21: 11th International Learning Analytics and Knowledge Conference, pp. 518-524. [DOI]
Where is the nurse?: Towards automatically visualising meaningful team movement in healthcare education (2018) Echeverria, V., Martinez-Maldonado, R., Power, T., Hayes, C., & Shum, S. B. Artificial Intelligence in Education: 19th International Conference, AIED 2018, pp. 74-78. Springer International Publishing. [DOI]
Physical learning analytics: A multimodal perspective (2018) Martinez-Maldonado, R., Echeverria, V., Santos, O. C., Dos Santos, A. D. P., & Yacef, K. Proceedings of the 8th International Conference on Learning Analytics and Knowledge, pp. 375-379. [DOI]
Towards proximity tracking and sensemaking for supporting teamwork and learning (2017) Martinez-Maldonado, R., Yacef, K., Dos Santos, A. D. P., Shum, S. B., Echeverria, V., Santos, O. C., & Pechenizkiy, M. 2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT), pp. 89-91. IEEE. [DOI]
Towards data storytelling to support teaching and learning (2017) Echeverria, V., Martinez-Maldonado, R., & Buckingham Shum, S. Proceedings of the 29th Australian Conference on Computer-Human Interaction, pp. 347-351. [DOI]
A tabletop system to promote argumentation in computer science students (2015) Wong-Villacres, M., Ortiz, M., Echeverria, V., & Chiluiza, K. Proceedings of the 2015 International Conference on Interactive Tabletops & Surfaces, pp. 325-330. [DOI]
Workshops and TUTORIALS (CO-ORGANISED)
A tutorial on data storytelling techniques for learning analytics dashboards (2021) Echeverria, V., Lawrence, L., Tsai, Y.-S., Singh, S., Martinez-Maldonado, R., & Fernandez-Nieto, G. M. Companion Proceedings, pp. 421-424. Society for Learning Analytics Research. [link]
2nd Crossmmla: Multimodal learning analytics across physical and digital spaces (2018) Martinez-Maldonado, R., Echeverria, V., Prieto, L. P., Rodriguez-Triana, M. J., Spikol, D., Curukova, M., Mavrikis, M., Ochoa, X., & Worsley, M. CEUR Workshop Proceedings. [link]
Workshop PAPERS (PEER-REVIEWED)
Multimodal collaborative workgroup dataset and challenges. (2017) Echeverria, V., Falcones, G., Castells, J., Granda, R., & Chiluiza, K. CEUR workshop proceedings.
How to capitalise on mobility, proximity and motion analytics to support formal and informal education? (2017) Martinez-Maldonado, R., Echeverria, V., Yacef, K., Dos Santos, A. D. P., & Pechenizkiy, M. MMLA and Cross-LAK Workshops 2017, pp. 39-46. CEUR workshop proceedings. [link]
Towards a distributed framework to analyze multimodal data. Echeverria, V., Domínguez, F., & Chiluiza, K. (2016). Workshop Cross-LAK-held at LAK (Vol. 16). CEUR workshop proceedings. [link]
Presentation skills estimation based on video and Kinect data analysis (2014) Echeverría, V., Avendaño, A., Chiluiza, K., Vásquez, A., & Ochoa, X. Proceedings of the 2014 ACM workshop on Multimodal Learning Analytics Workshop and Grand Challenge, pp. 53-60. [DOI]