I am a research scientist and software developer for the Curriculum Pathways group of SAS Institute, working on developing and understanding the latest innovations in educational technology. My research focus is on developing effective educational technology with the application of artificial intelligence and data mining techniques.

I received my Ph.D. from the Computer Science Department of North Carolina State University since the Fall of 2008. Upon entering the program I joined the IntelliMedia group under the direction of Dr. James Lester. During this time I also worked as an intern in the Education Practice group of SAS Instute, furthering work on educational technology. I was an active member of the STARS Alliance program which aims to broaden participation in computing.

Prior to starting my graduate career, I received my Bachelor's in Computer Science from NCSU in May 2008 with minors in Psychology and Cognitive Science. As an undergraduate student I was a member of the University Scholars Program as well as the Computer Science Honors Program. Through these activities I was also able to begin working on research as an undergraduate which helped to solidify my desire to continue onto graduate school. During this time I also spent three years as an intern at SAS Institute in the IT Management Solutions group.

Education

Ph.D. (2013)
Computer Science
North Carolina State University

M.S. (2012)
Computer Science
North Carolina State University

B.S. (2008)
Computer Science
Minors in Cognitive Science and Psychology
North Carolina State University
Valedictorian


Research

My research interests include artificial intelligence and its application in education. Specifically, I am highly interested in metacognition and affect during learning with educational technologies. I have investigated issues related to self-regulated learning, problem solving strategies, and goal setting. Along the lines of affective research I have investigated issues of detection of student affect as well as understanding the affective process as it occurs during learning. In particular I have looked into affective trajectories during learning, regulation of affect, and the role of empathy in learning environments. I am also interested in the development and use of artificial intelligence and data mining techniques with special focus on how these can be applied in educational domains. My additional interests include game-based learning, mobile applications for education, and virtual pedagogical agents.

Books

Scott McQuiggan, Lucy Kosturko, Jamie McQuiggan, and Jennifer Sabourin (2015). Mobile Learning: A Handbook for Developers, Educators, and Learners. Wiley [Amazon]

Book Chapters

James Lester, Bradford Mott, Jonathan Rowe, and Jennifer Sabourin (2014). Learner Modeling to Predict Real-Time Affect in Serious Games. In Robert Sottilare, Xiangen Hu, Art Graesser (Eds.) Design Recommendations for Adaptive Intelligent Tutoring Systems: Learner Modeling, Sottilare, R., Graesser, A., Hu, X., and Holden, H. (Eds.), Army Research Labs, Orlando, Florida, pp. 201-210.[pdf]

James Lester, Scott McQuiggan, and Jennifer Sabourin (2013). Affect Recognition and Expression in Narrative-Centered Learning Environments. In Calvo, R. and D'Mello, S (Eds.) New Perspectives on Affect and Learning Technologies. New York: Springer. [pdf]

James Lester, Bradford Mott, Jennifer Sabourin, Jonathan Rowe, and Lucy Shores (2013). Supporting Self-Regulated Learning in Narrative-Centered Learning Environments. In Azevedo, R. and Aleven, V. (Eds.) International Handbook of Metacognition and Learning Technologies. Berlin: Springer.[pdf]

Journal Articles

Jennifer Sabourin and James Lester (2014). Affect and Engagement in Game-Based Learning Environments. IEEE Transactions on Affective Computing, 5(1), 45-56.[pdf]

Jennifer Sabourin, Lucy Shores, Bradford Mott, and James Lester. (2013) Understanding and Predicting Student Self-Regulated Learning Strategies in Game-Based Learning Environments. International Journal of Artificial Intelligence in Education, 23(1-4), 94-114.[pdf]

Jennifer Sabourin, Jonathan Rowe, Bradford Mott and James Lester (2013). Considering Alternate Futures to Classify Off-Task Behavior as Emotion Self-Regulation: A Supervised Learning Approach. Journal of Educational Data Mining.[pdf]

James Lester, Eun Young Ha, Seung Lee, Bradford Mott, Jonathan Rowe, and Jennifer Sabourin (2013). Serious Games Get Smart: Intelligent Game-Based Learning Environments. AI Magazine, 34(4), 31-45.[pdf]

Scott McQuiggan, Jennifer Robison, and James Lester (2010). Affective Transitions in Narrative-Centered Learning Environments. Educational Technology & Society, 13 (1), 40-53. [pdf]

Conference Papers

Jennifer Sabourin, Lucy Kosturko, and Scott McQuiggan. Coding for All: Computer Science Outreach for All Ages and Budgets. In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science (SIGCSE-2017), Seattle, WA, 2017 [pdf]

Jennifer Sabourin, Lucy Kosturko, Kristin Hoffmann, and Scott McQuiggan. Toward Automated Support for Teacher-Facilitated Formative Feedback on Student Writing. In Proceedings of the 9th International Conference on Educational Data Mining (EDM-2016), Raleigh, NC, 2016 [pdf]

Jennifer Sabourin, Lucy Kosturko, and Scott McQuiggan. Where to Next? A Comparison of Recommendation Strategies for Navigating a Learning Object Repository. In Proceedings of the 23rd Conference on User Modelling, Adaptation and Personalization (UMAP-2015), Dublin, Ireland, 2015. [pdf]

Jennifer Sabourin, Lucy Kosturko, Clare Fitzgerald and Scott Mcquiggan. Student Privacy and Educational Data Mining: Perspectives from Industry. In Proceedings of the 8th International Conference on Educational Data Mining (EDM-2015), Madrid, Spain, 2015. [pdf]

Jennifer Sabourin, Lucy Kosturko, and Scott McQuiggan. Teacher Usage Behaviors within an Online Open Educational Resource Repository. In Proceedings of the First ACM Conference on Learning at Scale (L@S-2014), Atlanta, GA 2014. [pdf]

Jennifer Sabourin, Bradford Mott, and James Lester. Discovering Behavior Patterns of Self-Regulated Learners in an Inquiry-Based Learning Environment. In Proceedings of the 16th International Conference on Artificial Intelligence in Education (AIED-2013), Memphis, TN 2013. [pdf]

Jennifer Sabourin, Bradford Mott, and James Lester. Utilizing Dynamic Bayes Nets to Improve Early Prediction Models of Self-Regulated Learning. In Proceedings of the 21st International Conference on User Modeling, Adaptation and Personalization (UMAP-2013) Rome, Italy 2013. [pdf]

Jennifer Sabourin, Lucy Shores, Bradford Mott, and James Lester. Predicting Student Self-Regulation Strategies in Game-Based Learning Environments. In Proceedings of the 11th International Conference on Intelligent Tutoring Systems (ITS-2012). Chania, Greece, 2012. [pdf]

Jennifer Sabourin, Jonathan Rowe, Bradford Mott, and James Lester. Exploring Inquiry-based Problem-Solving Strategies in Game-based Learning Environments. In Proceedings of the 11th International Conference on Intelligent Tutoring Systems (ITS-2012). Chania, Greece, 2012. [pdf]

Jennifer Sabourin, Bradford Mott, and James Lester. Early Prediction of Student Self-Regulation Strategies by Combining Multiple Models. In Proceedings of the 5th International Conference on Educational Data Mining (EDM-2012). Chania, Greece, 2012. [pdf]

Jennifer Sabourin, Bradford Mott, and James Lester. Modeling Learner Affect with Theoreticallly Grounded Dynamic Bayesian Networks In Proceedings of the 4th International Conference on Affective Computing and Intelligent Interaction (ACII-2011), Memphis, Tennessee. 2011 [pdf]

Jennifer Sabourin, Jonathan Rowe, Bradford Mott, and James Lester. When Off-Task in On-Task: The Affective Role of Off-Task Behavior in Narrative-Centered Learning Environments. In Proceedings of the 15th International Conference on Artificial Intelligence in Education (AIED-2011), Auckland, New Zealand. 2011.[pdf]

Jennifer Robison, Scott McQuiggan and James Lester. Developing Empirically Based Student Personality Profiles for Affective Feedback Models.In Proceedings of the Tenth International Conference on Intelligent Tutoring Systems (ITS-2010), Pittsburgh, Pennsylvania. 2010.[pdf]

Jennifer Robison, Scott McQuiggan and James Lester. Evaluating the Consequences of Affective Feedback in Intelligent Tutoring Systems. In Proceedings of International Conference on Affective Computing and Intelligent Interaction (ACII-2009), Amsterdam, the Netherlands. 2009. pp 37-42. [pdf(Best Student Paper Award)

Jennifer Robison, Jonathan Rowe, Scott McQuiggan and James Lester. Predicting User Psychological Characteristics from Interactions with Empathetic Virtual Agents. In Proceedings of the 9th International Conference on Intelligent Virtual Agents (IVA-2009), Amsterdam, the Netherlands. 2009. pp 330-336. [pdf]

Jennifer Robison, Scott McQuiggan and James Lester. Modeling Task-Based vs. Affect-Based Feedback Behavior in Pedagogical Agents: An Inductive Approach.In Proceedings of the 14th International Conference on Artificial Intelligence and Education (AIED-2009), Brighton, England. 2009. pp 25-32. [pdf]

Jonathan Rowe, Scott McQuiggan, Jennifer Robison, and James Lester. Off-Task Behavior in Narrative-Centered Learning Environments.In Proceedings of the 14th International Conference on Artificial Intelligence and Education (AIED-2009), Brighton, England. 2009. pp 99-106. [pdf]

Scott McQuiggan, Jennifer Robison, and James Lester. Affective Transitions in Narrative-Centered Learning Environments. In Proceedings of the Ninth International Conference on Intelligent Tutoring Systems (ITS-2008), Montreal, Canada, 2008. pp 490-499. [pdf]

Scott McQuiggan, Jennifer Robison, Robert Phillips, and James Lester. Modeling Parallel and Reactive Empathy in Virtual Agents: An Inductive Approach. In Proceedings of the 7th International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2008), Estoril, Portugal, 2008. [pdf]

Symposium and Workshop Papers

Jennifer Sabourin, Lucy Shores, and Scott McQuiggan. SAS Read Aloud: A Mobile App for Early Reading. In Industry and Innovation Track in conjunction with the 16th International Conference on Artificial Intelligence in Education, 2013.[pdf]

Jonathan Rowe, Eleni Lobene, Jennifer Sabourin, Bradford Mott, and James Lester. Run-Time Affect Modeling in a Serious Game with the Generalized Intelligent Framework for Tutoring. In Workshop Towards the Development of a Generalized Intelligent Framework for Tutoring in conjunction with the 16th International Conference on Artificial Intelligence in Education, 2013. [pdf]

Jennifer Sabourin, Bradford Mott, and James Lester. Exploring Affect and Inquiry in Open-Ended Game-Based Learning Environments. In Workshop on Emotions in Games for Learning in conjunction with the 11th International Conference on Intelligent Tutoring Systems , 2012.[pdf]

Jennifer Sabourin. Affective Support in Narrative-Centered Learning Environments. In Doctoral Consortium in conjunction with the 4th International Conference on Affective Computing and Intelligent Interaction , 2011.[pdf]

Jennifer Sabourin, Bradford Mott, and James Lester. Generalizing Models of Student Affect in Game-Based Learning Environments. In Machine Learning for Affective Computing Workshop in conjunction with the 4th International Conference on Affective Computing and Intelligent Interaction ,2011.[pdf]

Jennifer Robison. Affective Support in Narrative-Centered Learning Environments In Proceedings of the ACII 2009 Doctoral Consortium in conjuction with the 3rd International Conference on Affective Computing and Intelligent Interaction, Amsterdam, The Netherlands. [pdf]

Lucy Shores, Jennifer Robison, Jonathan Rowe, Kristin Hoffman, James Lester. Narrative-Centered Learning Environments: A Self-Regulated Learning Perspective. In Working Notes of the 2009 AAAI Fall Symposium on Cognitive and Metacognitive Educational Systems, Washington, DC. 2009.

Jonathan Rowe, Scott McQuiggan, Jennifer Robison, Derrick Marcey, and James Lester. StoryEval: An Empirical Evaluation Framework for Narrative Generation. In Working Notes of the 2009 AAAI Spring Symposium on Intelligent Narrative Technologies II, Stanford University. 2009. [pdf]

Jennifer Robison, Scott McQuiggan, and James Lester. Differential Affective Experiences in Narrative-Centered Learning Environments. In Proceedings of the ITS'08 Workshop on Emotional and Cognitive Issues in ITS, Montreal, Canada, 2008. [pdf]

Scott McQuiggan, Kristin Hoffmann, John Nietfeld, Jennifer Robison, and James Lester. Examining Self-Regulated Learning in a Narrative-Centered Learning Environment: An Inductive Approach to Modeling Metacognitive Monitoring. In Proceedings of the ITS'08 Workshop on Metacognition and Self-Regulated Learning in Educational Technologies, Montreal, Canada, 2008.

Other Publications and Presentations

Jennifer Sabourin, Eric Roberts, Jane Stout, and Tiffany Barnes. Booming Enrollments and Gender Diversity: How do we Keep History from Repeating Itself? Presented at: The 2016 Grace Hopper Celebration of Women in Computing (GHC-2016) Houston, TX, 2016. [pdf]

Jennifer Sabourin and James Lester. Self-Regulated Learning in Exploratory Game-Based Learning Environments Presented at: The 2012 Annual Meeting of the American Educational Research Association (AERA-2012) Vancouver, BC, 2012.

Jonathan Rowe, Jennfier Sabourin, and James Lester. Affect and Off-Task Behavior in Narrative-Centered Learning Environments. Presented at: The 2012 Annual Meeting of the American Educational Research Association (AERA-2012) Vancouver, BC, 2012.

Jennifer Sabourin, Bradford Mott, and James Lester. Computational Models of Affect and Empathy for Pedagogical Virtual Agents. Presented at: Standards in Emotion Modeling, 2011. [pdf]

Jennifer Robison and Lucy Shores. Supporting Collaborative Learning in Narrative-Centered Learning Environments Presented at: Grace Hopper Celebration of Women in Computing . Atlanta, Georgia, 2010. [pdf]

James Lester, Scott McQuiggan, John Nietfeld, Jennifer Robison, Hiller Spires. Supporting Self-Regulation Through Affective Modeling in Intelligent Narrative-Centered Learning Environments. Presented at: The 2009 Annual Meeting of the American Educational Research Association (AERA-2009) San Diego, CA, 2009.


Honors

Centennial Campus Magnet Middle School Partner Award 2013
NCSU Preparing the Professoriate Program (story)
Certificate of Accomplishment in Teaching (story)
Best Student Paper Award - ACII 2009 (story)
Outstanding Graduate Teaching Assistant Award Nomination (story)
NSF Graduate Research Fellow (story)
NCSU Graduate Deans Fellowship
Valedictorian, NCSU May 2008 (story)
College of Engineering Senior Award for Scholarly Achievement for the 2007-2008 Academic School Year (story)
Member of Phi Kappa Phi Honors Society

Activities

Preparing the Professoriate Preparing the Professoriate is a highly competitive program open to doctoral students in the later years of their career. The purpose of the program is to give doctoral students experience with teaching and other aspects of faculty life. I participated in this program during the 2011-2012 academic year. During this time I was an instructor for the CSC 116 - Introduction to Java Programming course.

SPARCS (Students in Programming, Robotics and Computer Science). SPARCS is a middle school outreach program for broadening participation in Computer Science. SPARCS is sponsored by the Raleigh branch of the NSF STARS program. The program involves monthly Saturday sessions to introduce students to fun and interesting concepts in Computer Science. As one of the founding members of the SPARCS program I continued to lead the program for its first 5 years. It has now been packaged into a standarized program which can be implemented by other interested individuals and currently has 2 additional programs in addition to the original program.

Certificate of Accomplishment in Teaching The Certificate of Accomplishment in Teaching is a program which encourages graduate students to get experience teaching as well as attend professional development seminars. A critical component of this program involves the active reflection on the teaching strategies of oneself and others.




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