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Publications

INVITE Exclusive

  • Jaldi, C. D., Ilkou, E., Schroeder, N., & Shimizu, C. (2024). Education in the era of Neurosymbolic AIJournal of Web Semantics, 100857.
  • Zhang, S., Palaguachi, C., Pitera, M., Jaldi, C. D., Schroeder, N. L., Botelho, A. F., & Gladstone, J. R. (2024). Semi-automating the Scoping Review Process: Is it Worthwhile? A Methodological EvaluationEducational Psychology Review36(4), 1-35. 
  • Mannekote, A., Davies, A., Pinto, J. D., Zhang, S., Olds, D., Schroeder, N. L., Lehman, B., Zapata-Rivera, D., Zhai, C. (2024). Large Language Models for Whole-Learner Support: Opportunities and ChallengesFrontiers in Artificial Intelligence7, 1460364.
  • Zhang, S., Jaldi, C., Schroeder, N. L., López, A. A., Gladstone, J. R., & Heidig, S. (2024). Pedagogical agent design for K-12 education: A systematic reviewComputers & Education. 105165. 
  • Barrett, J. (2023). Thinking Critically: Classroom Activities to Examine Ethics in Computing. In ACM EngageCSEdu. ACM, New York, NY, USA.
  • Bhavya, S.S., Xiong, J., Zhai. C. (2024). AnaDE1.0: A Novel Data Set for Benchmarking Analogy Detection and Extraction. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL).
  • Bhavya, S.S., Zhou, Y., Sehgal, S., Bhat, S., Zhai, C. (2024). Analego: Let’s build analogies together! Demo presentation at the AAAI 2024 Workshop on AI for Education (AI4Ed). 2024.
  • Forsyth, C.M., Zapata-Rivera, D., Graf, A., & Jiang, Y. (2024) Complex Conversations: LLMs vs. Knowledge Engineered Conversation-based Assessment. In The Proceedings of the International Conference on Educational Data Mining. 862-867.
  • Zapata-Rivera, D., Forsyth, C. M., Graf, A., & Jiang, Y. (2024). Designing and Evaluating Evidence-Centered Design based Conversations for Assessment with LLMs. Proceedings of EDM 2024 Workshop: Leveraging Large Language Models for Next Generation Educational Technologies.
  • Zhang, S., Jaldi, C., Schroeder, N. L., & Gladstone, J. R. (2024). Pedagogical agents in K-12 education: A scoping reviewJournal of Research on Technology in Education, 1–28. 
  • ChengXiang Zhai, LiveDataLab: A Cloud-based Open Lab for Integrating Big Data Research, Education, and Applications, In Proceedings of 2024 IEEE International Conference on Big Data, Washington DC, Dec. 15-18, 2024, pp. 8820-8824.
  • Zhang, S., Meshram, P. S., Ganapathy Prasad, P., Israel, M., & Bhat, S. (2025, February). An LLM-Based Framework for Simulating, Classifying, and Correcting Students’ Programming Knowledge with the SOLO Taxonomy. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2 (pp. 1681-1682).
  • Hum, S., Gadbury, M., Ginger, J., Duda, K., & Lane, H. C. (2025, July). BarrelBots: ChatGPT Feedback for Middle School Student Creative Minecraft Artifacts. In International Conference on Artificial Intelligence in Education. Cham: Springer Nature Switzerland.
  • Hum, S., Gadbury, M., Duda, K., Ginger, J., Lane, H. C., & Nadler, D. (2025). BarrelBots: Measuring Self-efficacy and Puzzle-based Computational Thinking in Minecraft. In Proceedings of the 19th International Conference of the Learning Sciences-ICLS 2025. International Society of the Learning Sciences.
  • Earle-Randell, T. V., Zhang, S., Schroeder, N., Boyer, K. E., Dorley, E. (2025, July). How Virtual Agents Can Shape Human-Human Collaboration: A Systematic Review. In International Conference on Artificial Intelligence in Education. Cham: Springer Nature Switzerland.

Works Partially Supported by INVITE

Informing Literature

Some sample works that have contributed to the knowledge base INVITE is inspired by:

Learning STEM in INVITE platforms
Learner Modeling and Adaptive Educational Systems
Learning Analytics and Educational Data Mining
assessment
MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING