Aditi Mallavarapu

Sehgal, S., Bhavya, B., Chivukula, K., Zhai, C., & Mallavarapu, A. (2024). Exploring AI-powered Multimodal Analogies for Science Education. Seventeenth International Conference on Educational Data Mining (EDM 2024). Presented at the Seventeenth International Conference on Educational Data Mining (EDM 2024).

Mallavarapu, A., Walker, E., Kelley, C., Gardner, S., Roschelle, J., & Uzzo, S. (2024). Network Based Methodology for Characterizing Interdisciplinary Expertise in Emerging Research. In H. Cherifi, L. M. Rocha, C. Cherifi, & M. Donduran (Eds.), Complex Networks & Their Applications XII (pp. 121–132). https://doi.org/10.1007/978-3-031-53499-7_10

Prado, Y., Ouyang, S., Risha, Z., Ferguson, C., Gardner, S., A., M., … Roschelle, J. (2024). Unveiling the Value of Exploration: Insights from NSF-Funded Research on Emerging Technologies for Teaching and Learning. In Digital Promise Global. Retrieved from https://circls.org/unveiling-the-value-of-exploration-executive-summary

Mallavarapu, A., & Gardner, S. (2023). Existing Partnership Trends in the CIRCLS Community. In Partnerships for Change: Transforming Research on Emergent Learning Technologies. In Digital Promise Global (pp. 11–13). Retrieved from Digital Promise website: https://circls.org/partnerships-for-change-existing-partnership-trends-in-the-circls-community

Booth, J., & Mallavarapu, A. (2023). The DATA Project: Partnering with Youth to Design a Tool for Data Literacy and Advocacy. 28th Annual conference - Recentering & Democratizing Knowledge for the Society for Social Work and Research. Presented at the 28th Annual conference - Recentering & Democratizing Knowledge for the Society for Social Work and Research.

Wen, N., Mallavarapu, A., Biehl, J., Walker, E., & Babichenko, D. (2023). Understanding Barriers of Missing Data in Personal Informatics Systems. In A. Tsanas & A. Triantafyllidis (Eds.), Pervasive Computing Technologies for Healthcare (pp. 603–618). https://doi.org/10.1007/978-3-031-34586-9_40

Mallavarapu, A., Lyons, L., & Uzzo, S. (2022). Exploring the Utility of Social-Network-Derived Collaborative Opportunity Temperature Readings for Informing Design and Research of Large-Group Immersive Learning Environments. Journal of Learning Analytics, 9(1), 53–76. https://doi.org/10.18608/jla.2022.7419

Risha, Z., Mallavarapu, A., Farzan, R., Booth, J., Sondel, B., & Walker, E. (2022). Proposing a Role Based Framework for Data Literacy. International Conference of the Learning Sciences-ICLS, 1601–1604. International Society of the Learning Sciences.

Risha, Z., Mallavarapu, A., Rosta, F., Jaime, B., Dondal, B., & Walker, E. (2022). Proposing a Role-Based Framework for Data Literacy. In C. Chinn, E. Tan, C. Chan, & Y. Kali (Eds.), Proceedings of the 16th International Conference of the Learning Sciences ICLS 2022. Hiroshima, Japan: International Society of the Learning Sciences.

Beheshti, E., Lyons, L., Mallavarapu, A., Thompson, W., Wallingford, B., & Uzzo, S. (2021). Co-Designing Learning Dashboards for Informal Educators. https://doi.org/10.4324/9780203702345-6

Lyons, L., & Mallavarapu, A. (2021). Collective Usability: Using Simulation Tools to Explore Embodied Design Challenges in Immersive, Shared Mixed-Reality Experiences. Educational Technology & Society, 24(2), 120–135. Retrieved from http://index.j-ets.net/Published/24_2/ETS_24_2_10.pdf

Mallavarapu, A., Uzzo, S., & Lyons, L. (2021). Formative Fugues: Reconceptualizing Formative Feedback for Complex Systems Learning Environments. International Journal of Complexity in Education, 2(2), 4–46.

Mallavarapu, A., Lyons, L., & Uzzo, S. (2021). Formative Fugues: Reconceptualizing Formative Feedback for Complex Systems Learning Environments. International journal of complexity in education, 2(2), 2(2).

Humanizing AI Research in Education by Broadening Community Engagement. (2021). Retrieved from https://circls.org/educatorcircls/humanizing-ai-research-in-education-by-broadening-community-engagement

Levy Cohen, R., Mallavarapu, A., Lyons, L., Uzzo, M., & S. (2021). Studying Collective Problem-Solving Regulation in an Immersive Open-Ended Museum Exhibit. Proceedings of the 2021 AERA Annual Meeting. Presented at the 2021 AERA Annual Meeting. https://doi.org/10.3102/1691516

Levy-Cohen, R., Mallavarapu, A., Lyons, L., & Uzzo, S. (2021). Studying Shared Regulation in Immersive Learning Environments. In C. Hmelo-Silver, B. de Wever, & J. Oshima (Eds.), Proceedings of 15th International Conference on Computer-Supported Collaborative Learning – CSCL 2021 (pp. 100–115). International Society of the Learning Sciences.

Cohen, R. L., Mallavarapu, A., Lyons, L., & Uzzo, S. (2021). Studying shared regulation in immersive learning environments. 14th International Conference on Computer-Supported Collaborative Learning-CSCL.

Beheshti, E., Lyons, L., Mallavarapu, A., Wallingford, B., & Uzzo, S. (2020). Design Considerations for Data-Driven Dashboards: Supporting Facilitation Tasks for Open-Ended Learning. Presented at the CHI '20: CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3334480.3382871

Mallavarapu, A., & Lyons, L. (2020). Exploration Maps, Beyond Top Scores: Designing Formative Feedback for Open-Ended Problems. International Conference on Educational Data Mining (EDM), 790–795. Retrieved from https://par.nsf.gov/servlets/purl/10290783

Beheshti, E., Lyons, L., Thompson, W., Mallavarapu, A., & Uzzo, S. M. (2020). Human-in-the-Loop: Supporting Facilitators' Scaffolding of Visitor Engagement and Learning in Science Museums. Proceedings of the 2020 AERA Annual Meeting. Presented at the 2020 AERA Annual Meeting. https://doi.org/10.3102/1574391

Mallavarapu, A., Lyons, L., Uzzo, S., Thompson, W., Levy-Cohen, R., & Slattery, B. (2019). Connect-to-Connected Worlds. Presented at the CHI '19: CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3290605.3300237

Mallavarapu, A., Lyons, L., Slattery, B., Shelley, T., Minor, E., & Zellner, M. (2015). Developing Computational Methods to Measure and Track Learners’ Spatial Reasoning in an Open-Ended Simulation. Journal of Educational Data Mining, 7(2), 49–82. Retrieved from https://files.eric.ed.gov/fulltext/EJ1115279.pdf