PUBLICATIONS
* = Student mentee co-author
** = Community partner co-author
PEER REVIEWED ARTICLES
*Arnell, J., Swanson, H., & Lawrence, L. (2023). “Shake the slinky more”: Exploring the medley of meaning in middle school science students’ language. Paper accepted to the International Conference of the Learning Sciences.
Cromley, J., Chen, R., & Lawrence, L. (2023). Meta-analysis of STEM learning using virtual reality: Benefits across the board. Journal of Science Education and Technology. [link]
*Dawkins., A., Lawrence, L., Swanson, H., (2023). Comparing the pedagogical strategies of teachers who co-designed units to support students’ theory building. Poster accepted to the International Conference of the Learning Sciences.
Echeverria, V. *Yang, K., Lawrence, L., Rummel, N., & Aleven, V. (2023). Designing human-AI orchestration tools to support dynamic classroom transitions. IEEE Transactions on Learning Technologies. [link] [pdf]
Lawrence, L., Echeverria, V., & Rummel, N. (2023). Acknowledging power structures in the design of AI-based orchestration tools. Paper accepted to the International Conference on Computer Supported Collaborative Learning.
Lawrence, L., *Garcia, D., Ochoa, K., *Valdez, S., Begolli, K., Bustamante, A., & Ahn, J. (2023). Factors that impact the implementation of a game-based curriculum and adaptations teachers design to address them. Paper accepted to the International Conference of the Learning Sciences.
*Lin, E., *Alvarez-Vargas, D., Lawrence, L., Ochoa, K., *Farag, L. M., Cao, Z., Rhodes, K., & Bustamante, A. (2023). “Sparking” math talk in a fraction ball classroom lesson. Poster accepted to the International Conference of the Learning Sciences.
Aleven, V., Blankestijn, J., Lawrence, L., *Nagashima, T., & Taatgen, N. (2022). A dashboard to support teachers during students’ self-paced AI-supported problem-solving practice. In Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption: 17th European Conference on Technology Enhanced Learning, EC-TEL 2022, Toulouse, France, September 12–16, 2022, Proceedings. Springer-Verlag, Berlin, Heidelberg, 16–30. https://doi.org/10.1007/978-3-031-16290-9_2 [link] [pdf]
*Yang, K. B., Lu, Z., Echeverria, V., Sewall, J., Lawrence, L., Rummel, N., & Aleven, V. (2022, July). Technology ecosystem for orchestrating dynamic transitions between individual and collaborative AI-tutored problem solving. In Artificial Intelligence in Education: 23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part I (pp. 673-678). [link] [pdf]
Hmelo-Silver, C. E., Puntambekar, S., Glazewski, K., Lawrence, L., Rummel, N., Aleven, V., … Worsley, M. (2022). AI and ambitious learning practices. In Weinberger, A. Chen, W., Hernández-Leo, D., & Chen, B. (Eds.). Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning-CSCL 2022. (pp. 525-532). Hiroshima, Japan: International Society of the Learning Sciences. [link] [pdf]
Lawrence, L. (2022). Examining design-based implementation research through linkographic analysis. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.). Proceedings of the 16th International Conference of the Learning Sciences-ICLS 2022. (pp. 1797-1798). Hiroshima, Japan: International Society of the Learning Sciences. [link] [pdf] [poster]
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 Weinberger, A. Chen, W., Hernández-Leo, D., & Chen, B. (Eds.). Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning-CSCL 2022. (pp. 139-146). Hiroshima, Japan: International Society of the Learning Sciences. Best Design Paper Award. [link] [pdf]
Lawrence, L., Rummel, N., & Aleven, V. (2022). Ethical consideration for designing AI to support dynamic learning transitions. In Weinberger, A. Chen, W., Hernández-Leo, D., & Chen, B. (Eds.). Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning-CSCL 2022. (pp. 526-527). Hiroshima, Japan: International Society of the Learning Sciences. [link] [pdf]
Mercier, E., Lawrence, L., Ahn, J., Wegemer, C., Benichou, M., Kali, Y., … Cheng, B. (2022). Mapping the complexities and benefits of research-design partnerships. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.). Proceedings of the 16th International Conference of the Learning Sciences-ICLS 2022. (pp. 1794-1801). Hiroshima, Japan: International Society of the Learning Sciences. [link] [pdf]
Lawrence, L., Holstein, K., Berman, S., Fancsali, S., McLaren, B. M., Ritter, S., & Aleven, V. (2021). Teachers’ orchestration needs during the shift to remote learning. In Technology Enhanced Learning for a Free, Safe, and Sustainable World: 16th European Conference on Technology Enhanced Learning, EC-TEL 2021, Bolzano, Italy, September 20–24, 2021, Proceedings (pp. 347-351). Springer Nature, Cham. [link] [pdf]
*Yang, K., Lawrence, L., Echeverria, V., *Guo , B., Holstein, K., Rummel, K., & Aleven, V. (2021). Surveying teachers’ preferences and boundaries regarding human-AI control in dynamic pairing of students for collaborative learning. In Technology-Enhanced Learning for a Free, Safe, and Sustainable World: 16th European Conference on Technology Enhanced Learning, EC-TEL 2021, Bolzano, Italy, September 20–24, 2021, Proceedings (pp. 260-274). Springer Nature, Cham. [link] [pdf]
*Jang, J., *Lee, J., Echeverria, V., Lawrence, L., & Aleven, V. (2021). Explorations of designing spatial classroom analytics with virtual prototyping. In Proceedings of the 11th International Learning Analytics & Knowledge Conference (LAK21), April 12–16, 2021, Irvine, CA, USA. ACM, New York, NY, USA, (pp. 518-524). https://doi.org/10.1145/3448139.3448192. [link] [pdf]
*Yang, K., Wang, X., Echeverria, V., Lawrence, L., Holstein, K., Rummel, K., & Aleven, V. (2021). Exploring Policies for Dynamically Teaming Up Students through Log Data Simulation. In Hsiao I., Sahebi S., Bouchet F., & Vie J.J. (Eds.), Proceedings, Fourteenth International Conference on Educational Data Mining (EDM 2021) (pp. 183-194). Educational Data Mining Society. [link] [pdf]
Lawrence, L., Shehab, S., & Tissenbaum, M. (2021). Human-centered design taxonomy: Case study application with novice, multidisciplinary designers. Symposium conducted at the 15th Annual International Conference of the Learning Sciences. (pp. 860-861). Bochum, Germany: International Society of the Learning Sciences. [link] [pdf]
Lawrence, L., *Tucker, T., & Mercier, E. (2021). Examining the influence of instructor interventions on group collaboration. Hmelo-Silver, C. E., De Wever, B., & Oshima, J. (Eds.). (2021). Proceedings of the 14th International Conference on Computer-Supported Collaborative Learning - CSCL 2021. (pp. 161-164). Bochum, Germany: International Society of the Learning Sciences. Best Design Paper Nomination. [link] [pdf]
*Tucker, T., Lawrence, L., & Mercier, E. (2021). Investigating the effectiveness of an orchestration tool on the nature of students’ collaborative interactions during group work. Proceedings of the 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. https://peer.asee.org/38174 [link] [pdf]
Shehab, S., Lawrence, L., & Tissenbaum, M. (2021). Integrating human-centered design in a food science capstone course: A case study. de Vries, E., Hod, Y., & Ahn J. (Eds.). (2021). Proceedings of the 15th International Conference of the Learning Sciences - ICLS 2021. (pp. 861-862). Bochum, Germany: International Society of the Learning Sciences. [link] [pdf]
Shehab, S., Tissenbaum, M., Lawrence, L., Lewis, D. R., Easterday, M., Carlson, S., ... & Sawyer, K. (2021). Towards brining human-centered design to K-12 and post-secondary classrooms. de Vries, E., Hod, Y., & Ahn J. (Eds.). (2021). Proceedings of the 15th International Conference of the Learning Sciences - ICLS 2021. (pp. 859-866). Bochum, Germany: International Society of the Learning Sciences. [link] [pdf]
Shehab, S., Lawrence, L., Mercier, E., **Margotta, A., **Livingston, L., **Silva, M., & Tucker, T. (2020). Towards the effective implementation of collaborative problem solving in undergraduate engineering classrooms: Co-designing guidelines for teaching assistants. Proceedings of the 2020 ASEE Virtual Annual Conference Content Access, Virtual Online. https://doi.org/10.18260/1-2--35396 [link] [pdf]
Lawrence, L. & Mercier, E. (2019). Co-design of an orchestration tool: Supporting engineering teaching assistants as they facilitate collaborative learning. Interaction Design and Architecture(s) Journal, (42), 111-130. [link] [pdf]
Lawrence, L., & Mercier, E. (2019). A review of the evolving definition of orchestration: Implications for research and design. In A wide lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings.13th International Conference on Computer-Supported Collaborative Learning. (pp. 829-830). Lyon, France: International Society of the Learning Sciences. [poster]
Lawrence, L., Henderson, A. K., & Mercier, E. (2018). Exploring collaboration between designers and educational researchers to improve interdisciplinary research methods. LSGS Conference 2018 Expanding Apprenticeship. Bloomington, IN: Learning Sciences Graduate Students Conference. [poster]
Kelly, S. B., Lawrence, L., & Mercier, E. (2017). Engaging everyday science data to help make sense of data. In Making a Difference—Prioritizing Equity and Access in CSCL: The 12th International Conference on Computer Supported Collaborative Learning. (pp. 581-584). Philadelphia, USA: International Society of the Learning Sciences. [pdf]
Lawrence, L. & Mercier, E. (2017). Designing visualizations to monitor collaboration in engineering discussion sessions. In Vogel, C. & Muratovski, G. (Eds.), Re: Research. Cincinnati, OH: International Association of Societies of Design Research. https://doi.org/10.7945/ C25Q4P [poster]
THESES
Lawrence, L. (2020). The design process of a collaborative orchestration tool and its implications for instructor uptake. [Doctoral dissertation, University of Illinois at Urbana–Champaign]. ProQuest Dissertations Publishing. [link] [pdf]
Lawrence, L. (2018). Food for Thought: How interface design fosters collaborative data discussions. [Master’s Thesis, University of Illinois at Urbana–Champaign]. IDEALS. [link] [pdf]
BOOK CHAPTERS
Lawrence, L., *Szura, J. W., Begolli, K., **Minko, J., Bustamante, A., & Ahn, J. (2022). Tiered levels of engagement for teacher partnerships. In L. Wentworth, C. Conaway, S. Shewchuk, & P. Arce-Trigatti (Ed.) RPP Brokers Handbook, V. 2: A Guide to Brokering in Education Research-Practice Partnerships. Houstin, TX: National Network of Education Research-Practice Partnerships (NNERPP). [link] [pdf]
Cromley, J. G., & Lawrence, L. (2018). Multimedia simulations that foster deep learning: Findings from a review of the literature. R. Zheng (Ed.). Strategies for deep learning with digital technology: Theories and practices in education. Hauppauge, NY: Nova Science Publishers. [link]
OTHER PUBLICATIONS
Lawrence, L., Shehab, S., **Livingston, L., & **Margotta, A. (2019). Collaborative teaching sequence: A guide for teachers. CoLearnLab Resources. [link]
Kelly, S., Lawrence, L., & Mercier, E. (2017). Food for Thought: User and resource guide. CoLearnLab Resources. [link]