Jonathan Rowe

Pugatch, M., Blum, N. J., Barbaresi, W. J., Rowe, J., Berna, M., Hennigan, S., … Ozer, E. (2024). Engagement of adolescents with ADHD in a narrative-centered game-based behavior change environment to reduce alcohol use. FRONTIERS IN EDUCATION, 8. https://doi.org/10.3389/feduc.2023.1183994

Lester, J., Bansal, M., Biswas, G., Hmelo-Silver, C., Roschelle, J., & Rowe, J. (2024, February 14). The AI Institute for Engaged Learning. AI MAGAZINE. https://doi.org/10.1002/aaai.12161

Giovanelli, A., Rowe, J., Taylor, M., Berna, M., Tebb, K. P., Penilla, C., … Ozer, E. M. (2023). Supporting Adolescent Engagement with Artificial Intelligence-Driven Digital Health Behavior Change Interventions. JOURNAL OF MEDICAL INTERNET RESEARCH, 25. https://doi.org/10.2196/40306

Zhang, J., Hutt, S., Ocumpaugh, J., Henderson, N., Goslen, A., Rowe, J. P., … Lester, J. (2022). Investigating Student Interest and Engagement in Game-Based Learning Environments. ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, Vol. 13355, pp. 711–716. https://doi.org/10.1007/978-3-031-11644-5_72

Goslen, A., Carpenter, D., Rowe, J. P., Henderson, N., Azevedo, R., & Lester, J. (2022). Leveraging Student Goal Setting for Real-Time Plan Recognition in Game-Based Learning. ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, Vol. 13355, pp. 78–89. https://doi.org/10.1007/978-3-031-11644-5_7

Fahid, F. M., Rowe, J. P., Spain, R. D., Goldberg, B. S., Pokorny, R., & Lester, J. (2022). Robust Adaptive Scaffolding with Inverse Reinforcement Learning-Based Reward Design. ARTIFICIAL INTELLIGENCE IN EDUCATION: POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS AND DOCTORAL CONSORTIUM, PT II, Vol. 13356, pp. 204–207. https://doi.org/10.1007/978-3-031-11647-6_35

Spain, R., Rowe, J., Smith, A., Goldberg, B., Pokorny, R., Mott, B., & Lester, J. (2021, July 23). A reinforcement learning approach to adaptive remediation in online training. JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS, Vol. 7. https://doi.org/10.1177/15485129211028317

Fahid, F. M., Rowe, J. P., Spain, R. D., Goldberg, B. S., Pokorny, R., & Lester, J. (2021). Adaptively Scaffolding Cognitive Engagement with Batch Constrained Deep Q-Networks. ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT I, Vol. 12748, pp. 113–124. https://doi.org/10.1007/978-3-030-78292-4_10

Henderson, N., Min, W., Rowe, J., & Lester, J. (2021). Enhancing Multimodal Affect Recognition with Multi-Task Affective Dynamics Modeling. 2021 9TH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII). https://doi.org/10.1109/ACII52823.2021.9597432

Carpenter, D., Cloude, E., Rowe, J., Azevedo, R., & Lester, J. (2021). Investigating Student Reflection during Game-Based Learning in Middle Grades Science. LAK21 CONFERENCE PROCEEDINGS: THE ELEVENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, pp. 280–291. https://doi.org/10.1145/3448139.3448166

Emerson, A., Henderson, N., Min, W., Rowe, J., Minogue, J., & Lester, J. (2021). Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits. ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT II, Vol. 12749, pp. 151–155. https://doi.org/10.1007/978-3-030-78270-2_27

Geden, M., Emerson, A., Carpenter, D., Rowe, J., Azevedo, R., & Lester, J. (2021). Predictive Student Modeling in Game-Based Learning Environments with Word Embedding Representations of Reflection. INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 31(1), 1–23. https://doi.org/10.1007/s40593-020-00220-4

Rowe, J. P., & Lester, J. C. (2020). [Review of Artificial Intelligence for Personalized Preventive Adolescent Healthcare]. JOURNAL OF ADOLESCENT HEALTH, 67(2), 552–558. https://doi.org/10.1016/j.jadohealth.2020.02.021

Ozer, E. M., Rowe, J., Tebb, K. P., Berna, M., Penilla, C., Giovanelli, A., … Lester, J. C. (2020). Fostering Engagement in Health Behavior Change: Iterative Development of an Interactive Narrative Environment to Enhance Adolescent Preventive Health Services. JOURNAL OF ADOLESCENT HEALTH, 67(2), S34–S44. https://doi.org/10.1016/j.jadohealth.2020.04.022

Henderson, N. L., Rowe, J. P., Mott, B. W., Brawner, K., Baker, R., & Lester, J. C. (2019). 4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temporal Data Fusion. ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2019), PT I, Vol. 11625, pp. 144–156. https://doi.org/10.1007/978-3-030-23204-7_13

Saleh, A., Hmelo-Silver, C. E., Glazewski, K. D., Mott, B., Chen, Y., Rowe, J. P., & Lester, J. C. (2019). Collaborative inquiry play A design case to frame integration of collaborative problem solving with story-centric games. INFORMATION AND LEARNING SCIENCES, 120(9/10), 547–566. https://doi.org/10.1108/ILS-03-2019-0024

Mott, B. W., Taylor, R. G., Lee, S. Y., Rowe, J. P., Saleh, A., Glazewski, K. D., … Lester, J. C. (2019). Designing and Developing Interactive Narratives for Collaborative Problem-Based Learning. INTERACTIVE STORYTELLING, ICIDS 2019, Vol. 11869, pp. 86–100. https://doi.org/10.1007/978-3-030-33894-7_10

Ozer, E. M., Rowe, J. P., Tebb, K. P., Berna, M. S., Jasik, C. B., Penilla, C., … Lester, J. C. (2019). ENGAGING ADOLESCENTS IN A SELF-ADAPTIVE PERSONALIZED BEHAVIOR CHANGE SYSTEM FOR ADOLESCENT PREVENTIVE HEALTHCARE. JOURNAL OF ADOLESCENT HEALTH, 64(2), S60–61. https://doi.org/10.1016/j.jadohealth.2018.10.132

DeFalco, J. A., Rowe, J. P., Paquette, L., Georgoulas-Sherry, V., Brawner, K., Mott, B. W., … Lester, J. C. (2018). Detecting and Addressing Frustration in a Serious Game for Military Training. INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 28(2), 152–193. https://doi.org/10.1007/s40593-017-0152-1

Rowe, J. P., Lobene, E. V., Mott, B. W., & Lester, J. C. (2017). Play in the Museum: Design and Development of a Game-Based Learning Exhibit for Informal Science Education. INTERNATIONAL JOURNAL OF GAMING AND COMPUTER-MEDIATED SIMULATIONS, 9(3), 96–113. https://doi.org/10.4018/ijgcms.2017070104

Mudrick, N. V., Taub, M., Azevedo, R., Rowe, J., & Lester, J. (2017). Toward affect-sensitive virtual human tutors: The influence of facial expressions on learning and emotion. International conference on affective computing and intelligent, 184–189. https://doi.org/10.1109/acii.2017.8273598

Taub, M., Mudrick, N. V., Azevedo, R., Millar, G. C., Rowe, J., & Lester, J. (2017). Using multi-channel data with multi-level modeling to assess in-game performance during gameplay with CRYSTAL ISLAND. COMPUTERS IN HUMAN BEHAVIOR, 76, 641–655. https://doi.org/10.1016/j.chb.2017.01.038

Barot, C., Buro, M., Cook, M., Eladhari, M., Johansson, M., Li, B., … Zook, A. (2016). The AIIDE 2015 Workshop Program. AI MAGAZINE, 37(2), 91–94. https://doi.org/10.1609/aimag.v37i2.2660

Taub, M., Mudrick, N. V., Azevedo, R., Millar, G. C., Rowe, J., & Lester, J. (2016). Using Multi-level Modeling with Eye-Tracking Data to Predict Metacognitive Monitoring and Self-regulated Learning with CRYSTAL ISLAND. INTELLIGENT TUTORING SYSTEMS, ITS 2016, Vol. 9684, pp. 240–246. https://doi.org/10.1007/978-3-319-39583-8_24

Min, W., Frankosky, M. H., Mott, B. W., Rowe, J. P., Wiebe, E., Boyer, K. E., & Lester, J. C. (2015). DeepStealth: Leveraging Deep Learning Models for Stealth Assessment in Game-Based Learning Environments. ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015, Vol. 9112, pp. 277–286. https://doi.org/10.1007/978-3-319-19773-9_28

Lee, S. Y., Rowe, J. P., Mott, B. W., & Lester, J. C. (2014). A Supervised Learning Framework for Modeling Director Agent Strategies in Educational Interactive Narrative. IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, 6(2), 203–215. https://doi.org/10.1109/tciaig.2013.2292010

Baikadi, A., Rowe, J., Mott, B., & Lester, J. (2014). Generalizability of goal recognition models in narrative-centered learning environments. User modeling, adaptation, and personalization, umap 2014, 8538, 278–289. https://doi.org/10.1007/978-3-319-08786-3_24

Min, W., Mott, B. W., Rowe, J. P., & Lester, J. C. (2014). Leveraging semi-supervised learning to predict student problem-solving performance in narrative-centered learning environments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 664–665). https://doi.org/10.1007/978-3-319-07221-0_99

Rowe, J. P., Lobene, E. V., Mott, B. W., & Lester, J. C. (2014). Serious games go informal: a museum-centric perspective on intelligent game-based learning. Intelligent tutoring systems, its 2014, 8474, 410–415. https://doi.org/10.1007/978-3-319-07221-0_51

Elson, D., Rowe, J., Smith, A. M., Smith, G., & Tomai, E. (2012). Reports on the 2011 AAAI Fourth Artificial Intelligence for Interactive Digital Entertainment Conference Workshops. AI MAGAZINE, 33(1), 55–56. https://doi.org/10.1609/aimag.v33i1.2393

Ocumpaugh, J., Andres, J. M., Baker, R., DeFalco, J., Paquette, L., Rowe, J., … Sottilare, R. Affect dynamics in military trainees using vMedic: From engaged concentration to boredom to confusion. Artificial intelligence in education, aied 2017, 10331, 238–249.

Rowe, J. P., Ha, E. Y., & Lester, J. C. Archetype-driven character dialogue generation for interactive narrative. Intelligent virtual agents, proceedings, 5208, 45–58.

Sawyer, R., Rowe, J., & Lester, J. Balancing learning and engagement in game-based learning environments with multi-objective reinforcement learning. Artificial intelligence in education, aied 2017, 10331, 323–334.

Rowe, J. P., & Lester, J. C. Improving student problem solving in narrative-centered learning environments: A modular reinforcement learning framework. Artificial intelligence in education, aied 2015, 9112, 419–428.

Sawyer, R., Smith, A., Rowe, J., Azevedo, R., & Lester, J. Is more agency better? The impact of student agency on game-based learning. Artificial intelligence in education, aied 2017, 10331, 335–346.

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

Mudrick, N. V., Taub, M., Azevedo, R., Rowe, J., & Lester, J. Toward affect-sensitive virtual human tutors: The influence of facial expressions on learning and emotion. International conference on affective computing and intelligent, 184–189.

Taub, M., Mudrick, N. V., Azevedo, R., Millar, G. C., Rowe, J., & Lester, J. Using multi-level modeling with eye-tracking data to predict metacognitive monitoring and self-regulated learning with CRYSTAL ISLAND. Intelligent tutoring systems, its 2016, 0684, 240–246.

Taub, M., Mudrick, N. V., Azevedo, R., Millar, G. C., Rowe, J., & Lester, J. Using multi-level modeling with eye-tracking data to predict metacognitive monitoring and self-regulated learning with crystal island. Intelligent tutoring systems, its 2016, 9684, 240–246.