Srijita Chakraburty

Efficient Research Assistant with success in independent and team-driven research environments. Currently completing PhD. degree in Learning Sciences with a specialization in Computer Science Education.

• International Society of Learning Sciences
• American Education Research Association
• Educational Advances in Artificial Intelligence
• Special Interests Group in Computer Science Education

Peer-Reviewed Journal Articles

Hong, D., Chakraburty, S., Zou, X., Chen, Y., & Hmelo-Silver, C. (2023). Visual Representations for Studying Collaborative Inquiry. Interdisciplinary Journal of Problem-Based Learning. In press.

Chakraburty, S., Glazewski, K., Hmelo-Silver, C., & Svetina Valdivia, D. (2023). Measuring upper-elementary students’ understanding of AI concepts - A Rasch model analysis . Information and Learning Sciences. Submitted (Under-revision)

Peer-Reviewed Conference Proceedings

Chakraburty, S., Jeon, M., Glazewski, K. D., Hmelo-Silver, C. E., Ottenbreit-Leftwich, A., Jantaraweragul, K., ... & Lester, J. (2023). An Analysis of Teacher Practices and Student Participation in Contrasting Activity Systems in an AI Educational Program. In Proceedings of the 17th International Conference of the Learning Sciences-ICLS 2023, pp. 1026-1029. International Society of the Learning Sciences.

Ottenbreit-Leftwich, A., Glazewski, K., Hmelo-Silver, C., Jantaraweragul, K., Jeon, M., Chakraburty, S., ... & Lester, J. (2022, March). Is Elementary AI Education Possible?. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2 (pp. 1364-1364).

Ashiya Katuka, G., Chakraburty, S., Lee, H., Dhama, S., Earle-Randell, T., Celepkolu, M., Elizabeth Boyer, K., Glazewski, K., Hmelo-Silver, C., & McKlin, T. (2023). Integrating Natural Language Processing in Middle School Science Classrooms: An Experience Report. In Proceedings of the ACM Technical Symposium on Computer Science Education. In press.

Gupta, A., Lee, S., Mott, B., Chakraburty, S., Glazewski, K., Ottenbreit-Leftwich, A., Scribner, A., Hmelo-Silver, C., & Lester, J. (2023). Supporting Upper Elementary Students in Learning AI Concepts with Story-Driven Game-Based Learning. The Symposium on Educational Advances in Artificial Intelligence. In press.

Conference Presentations

Chakraburty, S., Jantaraweragul, K., Glazewski, K., Ottenbreit-Leftwich, A.,Hmelo-Silver, C., Scribner, A., Gupta, A., Mott, B., & Lester, J  (2023, April 13-16). PrimaryAI: Measuring Upper Elementary Student Learning for AI Concepts and Practices. Paper presented at the 2023 American Educational Research Association (AERA) Annual Meeting, Chicago, IL.

Kim, J., Lee, H., Chakraburty, S., Johnson V, Leftwich, A., Glazewski, K., Hmelo-Silver, C., Scribner, A., Mott, B.,& Lester, J. (2023, October). AI Curriculum Implementation with Elementary School Teachers: ChallengesEncountered and a Path Forward [Paper presentation]. Association for Educational Communication and Technology (AECT) International Conference, Orlando, Florida.

Chakraburty, S., Kim, J., Johnson, V., Glazewski, K., Ottenbreit-Leftwich, A.,Hmelo-Silver, C., Mott, B., & Lester, J  (2024, April 11-14).Measuring Upper-Elementary Students' Understanding of AI Concepts - A Rasch Model Analysis. Paper to be presented at the 2024 American Educational Research Association (AERA) Annual Meeting, Philadelphia, PA.

Chakraburty, S., Lee, H., Smyslova, D., Johnson, V., Glazewski, K., Ottenbreit-Leftwich, A.,Hmelo-Silver, Ashiya Katuka, G., Celepkolu, M., & Elizabeth Boyer, K. (2024, April 11-14).An Inquiry-Based Learning Approach to a Natural Language Processing Curriculum for Middle-School Students. Paper to be presented at the 2024 American Educational Research Association (AERA) Annual Meeting, Philadelphia, PA.

Other Publications

Martinez, L., Shen, Y., Handel, A., Chakraburty, S., Stein, C. M., Malone, L. L., ... & Zalwango, S. (2018). Effectiveness of WHO's pragmatic screening algorithm for child contacts of tuberculosis cases in resource-constrained settings: a prospective cohort study in Uganda. The lancet respiratory medicine, 6(4), 276-286.

Martinez, L., Handel, A., Shen, Y., Chakraburty, S., Quinn, F. D., Stein, C. M., ... & Whalen, C. C. (2018). A prospective validation of a clinical algorithm to detect tuberculosis in child contacts. American journal of respiratory and critical care medicine, 197(9), 1214-1216.

• Officer in the Learning Science Graduate Student Association at Indiana University
• Reviewer for AERA and International Society of Learning Sciences