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

Goslen, A., Kim, Y. J., Rowe, J., & Lester, J. (2024, July 17). LLM-Based Student Plan Generation for Adaptive Scaffolding in Game-Based Learning Environments. INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, Vol. 7. https://doi.org/10.1007/s40593-024-00421-1

Goslen, A., Taub, M., Carpenter, D., Azevedo, R., Rowe, J., & Lester, J. (2024, September 5). Leveraging Student Planning in Game-Based Learning Environments for Self-Regulated Learning Analytics. JOURNAL OF EDUCATIONAL PSYCHOLOGY, Vol. 9. https://doi.org/10.1037/edu0000901

Sinha, A., Rowe, J., & Ozer, E. (2024, April 23). Narrative Play-Promoting Adolescent Health With Interactive Games. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION. https://doi.org/10.1001/jama.2024.3239

Acosta, H., Lee, S., Bae, H., Feng, C., Rowe, J., Glazewski, K., … Lester, J. C. (2024, November 14). Recognizing Multi-Party Epistemic Dialogue Acts During Collaborative Game-Based Learning Using Large Language Models. INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION. https://doi.org/10.1007/s40593-024-00436-8

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

Goslen, A., Henderson, N., Rowe, J., Zhang, J., Hutt, S., Ocumpaugh, J., … Lester, J. (2023). Enhancing Engagement Modeling in Game-Based Learning Environments with Student-Agent Discourse Analysis. ARTIFICIAL INTELLIGENCE IN EDUCATION. POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS, DOCTORAL CONSORTIUM AND BLUE SKY, AIED 2023, Vol. 1831, pp. 681–687. https://doi.org/10.1007/978-3-031-36336-8_105

Nasiar, N., Zambrano, A. F., Ocumpaugh, J., Hutt, S., Goslen, A., Rowe, J., … Mott, B. (2023). It's Good to Explore: Investigating Silver Pathways and the Role of Frustration During Game-Based Learning. ARTIFICIAL INTELLIGENCE IN EDUCATION. POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS, DOCTORAL CONSORTIUM AND BLUE SKY, AIED 2023, Vol. 1831, pp. 497–503. https://doi.org/10.1007/978-3-031-36336-8_77

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

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

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

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.