Selected Publications and Reports

Holstein, K. (2019). Designing Real-time Teacher Augmentation to Combine Strengths of Human and AI Instruction. Doctoral dissertation, Carnegie Mellon University. 
[pdf]
Holstein, K., McLaren, B. M. & Aleven, V.  (2019). Designing for complementarity: Teacher and student needs for orchestration support in AI-enhanced classrooms. To appear in Proceedings of the 20th International Conference on Artificial Intelligence in Education (AIED 2019).
*Best Paper and Best Student Paper Nominee*   [link]   [pdf]

Holstein, K., McLaren, B. M. & Aleven, V.  (2019). Co-designing a real-time classroom orchestration tool to support teacher–AI complementarity. Journal of Learning Analytics (JLA). 
[link]   [pdf]

Holstein, K., McLaren, B. M., & Aleven, V.  (2018). Student learning benefits of a mixed-reality teacher awareness tool in AI-enhanced classrooms. In Proceedings of the 19th International Conference on Artificial Intelligence in Education (AIED 2018). LNAI 10947 (pp. 154-168). Springer: Berlin.
*Best Paper Award*   [pdf]

  Holstein, K., McLaren, B. M., & Aleven, V.  (2018). Informing the design of teacher awareness tools through Causal Alignment Analysis. In Proceedings of the 13th International Conference of the Learning Sciences (ICLS 2018). 
*Best Student Paper Award*   [pdf]
Holstein, K., Hong, G., Tegene, M., McLaren, B. M., & Aleven, V.  (2018).  The classroom as a dashboard: Co-designing wearable cognitive augmentation for K-12 teachers. In Proceedings of the Eighth International Learning Analytics & Knowledge Conference (LAK 2018), (pp. 79-88). ACM.  
[link]  [pdf]

Holstein, K., McLaren, B. M., & Aleven, V.  (2017).  Intelligent tutors as teachers' aides: Exploring teacher needs for real-time analytics in blended classrooms. In Proceedings of the Seventh International Learning Analytics & Knowledge Conference (LAK 2017), (pp. 257-266). ACM.   
[link]
   [pdf]

Other relevant Publications
Zhang, C., Huang, Y., Wang, J., Fang, W., Lu, D., Stamper, J., Fancsali, S., Holstein, K., & Aleven, V. (2019).  Early detection of wheel spinning: Comparison across tutors, models, features, and operationalizations. In Proceedings of the Twelfth International Conference on Educational Data Mining (EDM’19). IEDMS.  
[pdf]


Holstein, K., Yu, Z. Popescu, O., Sewall, J., McLaren, B. M., & Aleven, V.  (2018). Opening up an intelligent tutoring system development environment for extensible student modeling. In Proceedings of the 19th International Conference on Artificial Intelligence in Education (AIED 2018).   
[pdf]
Long, Y., Holstein, K., & Aleven, V. (2018). What exactly do students learn when they practice equation solving?: refining knowledge components with the additive factors model. In Proceedings of the 8th International Conference on Learning Analytics and Knowledge (LAK 2018) (pp. 399-408). ACM.   
[pdf]
Holstein, K., McLaren, B. M., & Aleven, V. (2017). SPACLE: Investigating learning across virtual and physical spaces using spatial replays. In Proceedings of the Seventh International Learning Analytics & Knowledge Conference (LAK 2017), (pp. 358-367). ACM.   
[pdf]


Holstein, K., Xhakaj, F., Aleven, V., McLaren, B. M. (2016).  Luna: A Dashboard for Teachers Using Intelligent Tutoring Systems. 4th International Workshop on Teaching Analytics at the European Conference on Technology-Enhanced Learning (EC-TEL 2016).   
[pdf]


Aleven, V., Xhakaj, F., Holstein, K., McLaren, B. M. (2016).  Developing a Teacher Dashboard For Use with Intelligent Tutoring Systems. 4th International Workshop on Teaching Analytics at the European Conference on Technology-Enhanced Learning (EC-TEL 2016).   
[pdf]
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