Jonathan P. Rowe

Unlocking Gameplay Insights with Epistemic (Ordered) Network Analysis: Understanding the Potential of Video Games to Foster Authentic Scientific Practices in STEM Education

Zambrano, A. F., Barany, A., Ocumpaugh, J., Nasiar, N., Vandenberg, J., Goslen, A., … Hutt, S. (2025, March 26). Journal of Science Education and Technology.

Engagement of adolescents with ADHD in a narrative-centered game-based behavior change environment to reduce alcohol use

Pugatch, M., Blum, N. J., Barbaresi, W. J., Rowe, J., Berna, M., Hennigan, S., … Ozer, E. (2024, January 5). Frontiers in Education, Vol. 1.

LLM-Based Student Plan Generation for Adaptive Scaffolding in Game-Based Learning Environments

Goslen, A., Kim, Y. J., Rowe, J., & Lester, J. (2024, July 17). International Journal of Artificial Intelligence in Education, Vol. 7.

Leveraging student planning in game-based learning environments for self-regulated learning analytics.

Goslen, A., Taub, M., Carpenter, D., Azevedo, R., Rowe, J., & Lester, J. (2024, September 5). Journal of Educational Psychology, Vol. 9.

Narrative Play—Promoting Adolescent Health With Interactive Games

Sinha, A., Rowe, J., & Ozer, E. (2024, April 11). JAMA.

Recognizing Multi-Party Epistemic Dialogue Acts During Collaborative Game-Based Learning Using Large Language Models

Acosta, H., Lee, S., Bae, H., Feng, C., Rowe, J., Glazewski, K., … Lester, J. C. (2024, November 14). International Journal of Artificial Intelligence in Education, Vol. 11.

Student Perspectives on Expressing Academic Emotions in Digital Game-Based Learning

Goslen, A., Vandenberg, J., Zambrano, A. F., Nasiar, N., Hutt, S., Ocumpaugh, J., & Rowe, J. (2024, December 2).

The AI Institute for Engaged Learning

Lester, J., Bansal, M., Biswas, G., Hmelo‐Silver, C., Roschelle, J., & Rowe, J. (2024, February 14). AI Magazine.

Enhancing Engagement Modeling in Game-Based Learning Environments with Student-Agent Discourse Analysis

Goslen, A., Henderson, N., Rowe, J., Zhang, J., Hutt, S., Ocumpaugh, J., … Lester, J. (2023, January 1). Communications in Computer and Information Science, Vol. 1831, pp. 681–687.

It’s Good to Explore: Investigating Silver Pathways and the Role of Frustration During Game-Based Learning

Nasiar, N., Zambrano, A. F., Ocumpaugh, J., Hutt, S., Goslen, A., Rowe, J., … Mott, B. (2023, January 1). Communications in Computer and Information Science, Vol. 1831, pp. 497–503.

Supporting Adolescent Engagement with Artificial Intelligence–Driven Digital Health Behavior Change Interventions

Giovanelli, A., Rowe, J., Taylor, M., Berna, M., Tebb, K. P., Penilla, C., … Ozer, E. M. (2023, May 24). Journal of Medical Internet Research, Vol. 5.

Investigating Student Interest and Engagement in Game-Based Learning Environments

Zhang, J., Hutt, S., Ocumpaugh, J., Henderson, N., Goslen, A., Rowe, J. P., … Lester, J. (2022, January 1). Lecture Notes in Computer Science, Vol. 13355, pp. 711–716.

Leveraging Student Goal Setting for Real-Time Plan Recognition in Game-Based Learning

Goslen, A., Carpenter, D., Rowe, J. P., Henderson, N., Azevedo, R., & Lester, J. (2022, January 1). Lecture Notes in Computer Science, Vol. 13355, pp. 78–89.

Robust Adaptive Scaffolding with Inverse Reinforcement Learning-Based Reward Design

Fahid, F. M., Rowe, J. P., Spain, R. D., Goldberg, B. S., Pokorny, R., & Lester, J. (2022, January 1). Lecture Notes in Computer Science, Vol. 1.

A reinforcement learning approach to adaptive remediation in online training

Spain, R., Rowe, J., Smith, A., Goldberg, B., Pokorny, R., Mott, B., & Lester, J. (2021, July 23). The Journal of Defense Modeling and Simulation Applications Methodology Technology, Vol. 7.

Adaptively Scaffolding Cognitive Engagement with Batch Constrained Deep Q-Networks

Fahid, F. M., Rowe, J. P., Spain, R. D., Goldberg, B. S., Pokorny, R., & Lester, J. (2021, January 1). Lecture Notes in Computer Science, Vol. 1.

Enhancing Multimodal Affect Recognition with Multi-Task Affective Dynamics Modeling

Henderson, N., Min, W., Rowe, J., & Lester, J. (2021, September 28). 2021 9TH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII), Vol. 9.

Investigating Student Reflection during Game-Based Learning in Middle Grades Science

Carpenter, D., Cloude, E., Rowe, J., Azevedo, R., & Lester, J. (2021, April 5). (Vol. 4). Vol. 4.

Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits

Emerson, A., Henderson, N., Min, W., Rowe, J., Minogue, J., & Lester, J. (2021, January 1). Lecture Notes in Computer Science, Vol. 1.

Artificial Intelligence for Personalized Preventive Adolescent Healthcare

Rowe, J. P., & Lester, J. C. (2020, July 24). Journal of Adolescent Health.

Fostering Engagement in Health Behavior Change: Iterative Development of an Interactive Narrative Environment to Enhance Adolescent Preventive Health Services

Ozer, E. M., Rowe, J., Tebb, K. P., Berna, M., Penilla, C., Giovanelli, A., … Lester, J. C. (2020, July 24). Journal of Adolescent Health.

Predictive Student Modeling in Game-Based Learning Environments with Word Embedding Representations of Reflection

Geden, M., Emerson, A., Carpenter, D., Rowe, J., Azevedo, R., & Lester, J. (2020, October 20). International Journal of Artificial Intelligence in Education.

116. Engaging Adolescents In A Self-Adaptive Personalized Behavior Change System For Adolescent Preventive Healthcare

Ozer, E. M., Rowe, J. P., Tebb, K. P., Berna, M. S., Jasik, C. B., Penilla, C., … Lester, J. C. (2019, January 16). Journal of Adolescent Health.

4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temporal Data Fusion

Henderson, N. L., Rowe, J. P., Mott, B. W., Brawner, K., Baker, R., & Lester, J. C. (2019, January 1). Lecture Notes in Computer Science.

Collaborative inquiry play

Saleh, A., Hmelo-Silver, C. E., Glazewski, K. D., Mott, B., Chen, Y., Rowe, J. P., & Lester, J. C. (2019, October 14). Information and Learning Sciences.

Designing and Developing Interactive Narratives for Collaborative Problem-Based Learning

Mott, B. W., Taylor, R. G., Lee, S. Y., Rowe, J. P., Saleh, A., Glazewski, K. D., … Lester, J. C. (2019, January 1). Lecture Notes in Computer Science.

Detecting and Addressing Frustration in a Serious Game for Military Training

DeFalco, J. A., Rowe, J. P., Paquette, L., Georgoulas-Sherry, V., Brawner, K., Mott, B. W., … Lester, J. C. (2017, September 12). International Journal of Artificial Intelligence in Education.

Play in the Museum

Rowe, J. P., Lobene, E. V., Mott, B. W., & Lester, J. C. (2017, July 1). International Journal of Gaming and Computer-Mediated Simulations.

Toward affect-sensitive virtual human tutors: The influence of facial expressions on learning and emotion

Mudrick, N. V., Taub, M., Azevedo, R., Rowe, J., & Lester, J. (2017, October 1).

Using multi-channel data with multi-level modeling to assess in-game performance during gameplay with Crystal Island

Taub, M., Mudrick, N. V., Azevedo, R., Millar, G. C., Rowe, J., & Lester, J. (2017, February 7). Computers in Human Behavior.

The AIIDE 2015 Workshop Program

Barot, C., Buro, M., Cook, M., Eladhari, M., Johansson, M., Li, B., … Zook, A. (2016, June 1). AI Magazine.

Using Multi-level Modeling with Eye-Tracking Data to Predict Metacognitive Monitoring and Self-regulated Learning with Crystal Island

Taub, M., Mudrick, N. V., Azevedo, R., Millar, G. C., Rowe, J., & Lester, J. (2016, January 1). Lecture Notes in Computer Science.

DeepStealth: Leveraging Deep Learning Models for Stealth Assessment in Game-Based Learning Environments

Min, W., Frankosky, M. H., Mott, B. W., Rowe, J. P., Wiebe, E., Boyer, K. E., & Lester, J. C. (2015, January 1). Lecture Notes in Computer Science, Vol. 9112, pp. 277–286.

A Supervised Learning Framework for Modeling Director Agent Strategies in Educational Interactive Narrative

Lee, S. Y., Rowe, J. P., Mott, B. W., & Lester, J. C. (2014, January 31). IEEE Transactions on Computational Intelligence and AI in Games.

Generalizability of Goal Recognition Models in Narrative-Centered Learning Environments

Baikadi, A., Rowe, J., Mott, B., & Lester, J. (2014, January 1). Lecture Notes in Computer Science.

Leveraging Semi-Supervised Learning to Predict Student Problem-Solving Performance in Narrative-Centered Learning Environments

Min, W., Mott, B. W., Rowe, J. P., & Lester, J. C. (2014, January 1). Lecture Notes in Computer Science, pp. 664–665.

Serious Games Go Informal: A Museum-Centric Perspective on Intelligent Game-Based Learning

Rowe, J. P., Lobene, E. V., Mott, B. W., & Lester, J. C. (2014, January 1). Lecture Notes in Computer Science.

Reports on the 2011 AAAI Fourth Artificial Intelligence for Interactive Digital Entertainment Conference Workshops

Elson, D., Rowe, J., Smith, A. M., Smith, G., & Tomai, E. (2012, March 1). AI Magazine.

Affect dynamics in military trainees using vMedic: From engaged concentration to boredom to confusion

Ocumpaugh, J., Andres, J. M., Baker, R., DeFalco, J., Paquette, L., Rowe, J., … Sottilare, R. Artificial intelligence in education, aied 2017, 10331, 238–249.

Archetype-driven character dialogue generation for interactive narrative

Rowe, J. P., Ha, E. Y., & Lester, J. C. Intelligent virtual agents, proceedings, 5208, 45–58.

Balancing learning and engagement in game-based learning environments with multi-objective reinforcement learning

Sawyer, R., Rowe, J., & Lester, J. Artificial intelligence in education, aied 2017, 10331, 323–334.

Improving student problem solving in narrative-centered learning environments: A modular reinforcement learning framework

Rowe, J. P., & Lester, J. C. Artificial intelligence in education, aied 2015, 9112, 419–428.

Is more agency better? The impact of student agency on game-based learning

Sawyer, R., Smith, A., Rowe, J., Azevedo, R., & Lester, J. Artificial intelligence in education, aied 2017, 10331, 335–346.

Off-task behavior in narrative-centered learning environments

Rowe, J. P., McQuiggan, S. W., Robison, J. L., & Lester, J. C. Artificial intelligence in education - building learnning systems that care: from knowledge representation to affective modelling , 200, 99–106.

Toward affect-sensitive virtual human tutors: The influence of facial expressions on learning and emotion

Mudrick, N. V., Taub, M., Azevedo, R., Rowe, J., & Lester, J. International conference on affective computing and intelligent, 184–189.

Using multi-level modeling with eye-tracking data to predict metacognitive monitoring and self-regulated learning with CRYSTAL ISLAND

Taub, M., Mudrick, N. V., Azevedo, R., Millar, G. C., Rowe, J., & Lester, J. Intelligent tutoring systems, its 2016, 0684, 240–246.

Using multi-level modeling with eye-tracking data to predict metacognitive monitoring and self-regulated learning with crystal island

Taub, M., Mudrick, N. V., Azevedo, R., Millar, G. C., Rowe, J., & Lester, J. Intelligent tutoring systems, its 2016, 9684, 240–246.