2025-2026
Zapata-Rivera, D., Forsyth, C.M., Zhang, L., Graesser, A.C.: Exploring the use of generative AI in conversation-based assessment. In: Assessing Early Successes, Challenges and Potential of Generative AI in Intelligent Tutoring Systems, pp. 101–108. U.S. Army CCDC - Soldier Center, Orlando, FL (2025) Link to PDF
Zhang, L, Zhai, X., Lin, J., Kleiman,J. , Zapata-Rivera,D., Forsyth,C.M., Jiang, Y., Hu, X. and Graesser, A.C. (accepted) Exploring Communicative Strategies for Collaborative LLM Agents in Mathematical Problem Solving. The 26th International Conference on Artificial Intelligence in Education (AIED 2025).
Hou,X., Forsyth, C.M., Andrews-Todd, J., Rice, J., Cai, Z., Jiang, Y. , Zapata-Rivera, D. and Graesser, A.C. (in press). An LLM-enhanced Multi-Agent Architecture for Conversation-Based Assessment. The 26th International Conference on Artificial Intelligence in Education (AIED 2025).
Graf, E. A., Forsyth, C., Ruiz Diaz, S., Yan, D., & Jiang. Y. (2025). Mathematical Explorations in an LLM. Graf, E. A. (2025). Applications of Generative AI to Mathematics Education: Opportunities and Challenges, accepted coordinated session proposal at NCME 2025
Andrews-Todd, J., Graf, E. A., Forsyth, C., Cisterna-Alburquerque, D., Song, Y., & Lee, J. (2025). Showcasing a STEM conversation-based assessment with AI agents. Innovation demonstration accepted at the annual meeting of the National Council on Measurement in Education, Denver, CO.
Panelist "AI in Education: Enhancing Learning or Replacing Thinking?" at Minerva Hackathan. AI Consensus May 2025.
2023-2024
Zapata-Rivera & Forsyth, C.M (Sept, 2024) Expert Workshop: Exploring the use of generative AI in conversation-based assessment. Presented at Early Successes, Challenges and the Potential of Generative AI in Intelligent Tutoring Systems.
Zapata-Rivera, D., Forsyth, C. M., Graf, A., & Jiang, Y. (2024). Designing and evaluating evidence-centered design based conversations for assessment with LLMs. Proceedings of EDM 2024 Workshop: Leveraging Large Language Models for Next Generation Educational Technologies.
Forsyth, C., Zapata-Rivera, D., Graf, E., & Jiang, Y. (2024). Complex conversations: LLMs vs. knowledge engineered conversation-based assessment. Proceedings of the 17th International Conference on Educational Data Mining (EDM 2024), pp 868-871. DOI: 10.5281/zenodo.12729976.
Andrews-Todd, J., Kerzabi, E., & Forsyth, C.M. (2024). Exploring the efficacy of an online collaborative problem solving training program. In J. Clarke-Midura, I. Kollar, X. Gu, & C. D’Angelo. Proceedings of the 17th International Conference on Computer Supported Collaborative Learning – CSCL 2024 (pp. 27-34). Buffalo, NY: International Society of the Learning Sciences.
Steinberg, J., Forsyth, C., & Andrews-Todd, J. (2024). An exploratory approach to individualized score reporting for an online electronics collaborative problem-solving task. (Research Report No. RR-XX-XX). Princeton, NJ: Educational Testing Service.
Lehman, B., Sparks, J., Zapata-Rivera, D. Steinberg, J. & Forsyth, C (2024) A Framework of Caring Assessments for Diverse Learners" Practical Assessment, Research, and Evaluation.
Graf, A., Forsyth, C., & Zapata, D. (2024) Solving Math Problems with Bing. AI and Innovation. Presented at AI and Innovation: ETS
Forsyth, C., Zapata-Rivera, D., Graf, A. & Jiang, Y. Prompt engineering for Conversations in Assessment. Presented at AI and Innovation: ETS
Forsyth, C.M. 2024 Conversation-based Assessments. Presented to U Penn Analytics.
Andrews-Todd, Forsyth, C.M., & Kerzabi., E. (April 2024). Computational Thinking and Problem Solving. National Council of Measurement in Education. (NCME 2024) Philadelphia, P.A.
Forsyth, C.M., Andrews-Todd,J., Kerzabi, E. & Ling, G. (April 2024). Collaborative Problem Solving Training Program: Arming the 21st. Century. [demo] National Council of Measurement in Education. (NCME 2024) Philadelphia, P.A.
Ling, G. Forsyth, C.M., Lehman, B. Hoang, A., & Zapata-Rivera ( April 2024). AI Mapping of Learning and Workforce Experience in a Skill Building Profile. National Council of Measurement in Education. (NCME 2024) Philadelphia, P.A.
Forsyth, C.M., Guzman-Orth, D., Lopez, A. & Luce, C. (October 2023). The Role of Engagement in Conversation Based Assessment. 7th International Conference for the Center for Culturally-Responsive Assessment (CREA 2024). Chicago: IL
Forsyth, C.M., Tenison, C. and Arslan, B. (2023). The current trends and opportunities in machine learning and learning analytics. In Eds. R. Tierney, F. Rizvi, and K. Ercikan 4th Edition The International Encyclopedia for Education. Elsevier. Link to PDF
Zapata-Rivera, D., Sparks, J.R., Forsyth, C., Lehman, B., (2023). Conversation-Based assessment: Current findings and future work . In Eds. R. Tierney, F. Rizvi, and K. Ercikan International Encyclopedia of Education 4th Edition. Elsevier. Link to PDF
Andrews-Todd, J. & Forsyth, C. (2023). Assessment of collaborative problem solving skills. In Eds. R. Tierney, F. Rizvi, and K. Ercikan International Encyclopedia of Education 4th Edition. Elsevier. Link to PDF
2021-2022
Andrews Todd, J., Steinberg, J., Flor, M., & Forsyth, C.M. (2022). Exploring automated classification approaches to advance the assessment of collaborative problem solving skills. Journal of Intelligence,10,29, pg 1-24. Link to PDF
Lehman,B. Sparks, J. R. , Zapata-Rivera,D. Steinberg, J & Forsyth, C.M. (under review,2022). A model of caring assessments for diverse learners. The Applied Measurement in Education special issue on Racial Justice.
Baker, R. S., Heffernan, N. T., Patikorn, T. P., Forsyth, C. M., & Katz, I. R. (2021). Editorial Acknowledgments and Introduction to the Special Issue for the NAEP Data Mining Competition. Journal of Educational Data Mining, 13(2), i. https://doi.org/10.5281/zenodo.5275308
Forsyth, C.M., Sparks, J., Steinberg, J. & McCulla (2022). Linguistic profiles of students interacting with conversation-based assessment systems. To be in The Proceedings of the International Conference on Educational Data Mining (EDM2022).
Zapata-Rivera, D. & Forsyth, C.M (2022). Learner modeling in conversation-based assessment. To be in the Proceedings of Human Computer Interaction International (HCII 2022). Springer Nature Switzerland AG [ invited paper]
Steinberg, J., Forsyth, C.M. , & Andrews-Todd, J. (April, 2022) An Exploratory Approach to Individualized Score Reporting for an Online Electronics Collaborative Problem-Solving Task. Presented at the Annual Conference of the American Educational Research Association (AERA 2022).
Rupp, A., & Forsyth, C.M. (2021). Co-host of AI in Education session. NCME [virtual]
Invited Talks:
Forsyth, C.M. (2022). Panelist for Advancing the Science of Collaboration through AI. Empowering Learners in AI 2022.
Forsyth, C.M. (2022). Moderator and Panelist for Big Data Hub. Entrepreneurial, not-for-profit, and government digital learning systems. National Science Foundation Convergence Accelerator. (UMass)
Forsyth, C.M (June, 2021). Speaker and Panelist on Big Data. NCME Big Data SIGIMIE Discussion Session. NCME.
Forsyth, C.M. (February, 2021). Theoretically-Grounded Data Mining in Complex Digital Environments. Invited presentation to Women in AI. ETS Canada.
Rupp, A., & Forsyth, C.M. (2021). Co-host of AI in Education session. NCME [virtual]
Forsyth, C.M. (2021). Machine Learning and Learning Analytics. Invited presentation for AI Course, Computer Science Department. Worcester Polytechnic Institute.
2019-2020
Forsyth, C.M., Graesser, A.C., & Millis, K. (2020) Predicting learning in a multi-component serious game. The Journal of Technology, Knowledge and Learning, 25 n2 p251-277. Link to PDF
Andrews-Todd, J. & Forsyth, C.M. (2020) Exploring social and cognitive dimensions of collaborative problem solving in an open online simulation-based task. Computers in Human Behavior. 10.1016/j.chb.2018.10.025. Link to PDF
Jackson, G.T., Lehman, B., Forsyth, C. (under review) Game-Based Assessment: Investigating Relations between Skill Assessment, Game Performance, and User Experience. Computers and Education.
Lehman, B., Jackson, G.T. & Forsyth, C.M. (2019) A (Mis)match analysis: Examining the alignment between test taker performance in conventional and game-based assessment. Journal of Applied Testing Technology, 20,17-34. Link to PDF
Forsyth, C.M. Andrews-Todd, J. & Steinberg, J. (2020)"Are You Really a Team Player?: Profiles of collaborative problem solvers in an online environment" In: Proceedings of The13th International Conference on Educational Data Mining (EDM 2020), Anna N. Rafferty, Jacob Whitehill, Violetta Cavalli-Sforza, and Cristobal Romero (eds.) 2020, pp. 403 - 408
Forsyth, C.M. & Rupp, A. (2020). Artificial Intelligence & Educational Measurement: Trends, Mindsets, and Practices. National Council of Measurement in Education. [virtual] Session Co-Chair
Zapata-Rivera, D., Forsyth, C., & Molloy, H. (2019). Supporting Computational Thinking Skills for Adults. In Proceedings of the first International Workshop on Supporting Lifelong Learning at AIED 2019. 28-31. Online: http://ceur-ws.org/Vol-2395/paper5.pdf
Forsyth, C.M., Peters, S. Moon, J., & Napolitano, D. (April, 2019) Assessing scientific inquiry based on multiple sources of evidence.Presented at the annual meeting of the American Educational Research Association, Toronto, Canada.
Forsyth, C.M., Peters, S., Andrews-Todd, J. (April, 2019). Multi-level reporting on collaborative problem solving in an educational simulation . Presented at National Council of Measurement in Education, Toronto, Canada.
Peters, S., Forsyth, C.M., Zapata-Rivera, D. (April, 2019). Communicating process data to teachers for conversation-based assessment. Presented at National Council of Measurement in Education, Toronto, Canada.
Andrews-Todd, J., Forsyth, C., & Steinberg, J. (April, 2019). Developing profiles for reporting for collaborative problem solving assessment. Paper submitted to the annual meeting of the American Educational Research Association, Toronto, Canada.
Steinberg, J., Andrews-Todd, A., & Forsyth, C.M. (2019) The influences of communication and group dynamics on collaborative problem solving. Paper presented at Northeastern Educational Research Association.
Invited Talks:
Forsyth, C.M. (April 2020). Theoretically-grounded data mining in Intelligent Systems for learning and assessment. Invited presentation for the Human Systems Engineering Brownbag, Ira A. Fulton Schools of Engineering, Arizona State University. [INVITED TALK]
Forsyth, C.M (March,2020). A method for fine-grained analysis of learning. Invited presentation for User Modeling course, Computer Science Department, Worcester Polytechnic Institute. [INVITED TALK]
2017-2018
Forsyth, C.M., Luce, C., Zapata-Rivera, D., Jackson, J., Evanini, K., & So, Y. (2018) Evaluating English language learners' conversations: Man vs. Machine. International Journal on Computer Assisted Language Learning. DOI: 10.1080/09588221.2018.1517126 Link to PDF
Graesser, A.C., Forsyth, C., & Lehman, B. (2017). Two heads are better than one: Learning from agents in conversational trialogues. Teacher College Record, 119, 1-20. Link to PDF
Lopez, A. A., Luce, C., Zapata-Rivera, D., & Forsyth, C. (2017). Using formative conversation- based assessments to support students’ English language development. IEEE Technical Committee on Learning Technology Bulletin, 19(1), 6-9. Link to PDF
Millis, K. Forsyth, C.M., Wiemer, K., Wallace, P., Steciuch, C. (2018) Learning scientific inquiry from a serious game that uses Autotutor. In Eds. K. Millis, D. Long, J.P. Magliano, and K. Wiemer :Multi-Disciplinary Approaches to Deep Learning. London: Taylor & Francis. DOI:
Graesser, A.C., Foltz, P.W., Rosen, Y., Shaffer, D.W., Forsyth, C., and Germany, M. (2018). Challenges of assessing collaborative problem solving. In E. Care, P. Griffin, and M. Wilson (eds.), Assessment and Teaching of 21st Century Skills (pp. 75-91). Heidelberg, Germany: Springer Publishers. Link to PDF.
Graesser, A.C., Forsyth, C.M., & Foltz, P. (2017). Assessing conversation quality, reasoning, and problem solving performance with computer agents. In B. Csapo, J. Funke, and A. Schleicher (Eds.), On the nature of problem solving: A look behind PISA 2012 problem solving assessment (pp. 245-261). Heidelberg, Germany: OECD Series. Link to PDF
Andrews-Todd, Jessica, Forsyth, C.M., Rupp, A, & Horwitz, P. (April, 2018) Measuring Collaboration in Complex Computerized Performance Assessment. Presented at the Annual Meeting of the American Educational Research Association (AERA). New York, NY
Andrews-Todd, J. & Forsyth, C. (April, 2018). The In-Task Assessment Framework. Presented at the National Council of Measurement in Education (NCME). New York, NY
Zapata-Rivera, D., Kannan, P., Forsyth, C., Peters, S., Bryant, A. D., Guo, E., & Long, R. (2018). Designing and evaluating reporting systems in the context of new assessments. In D.D. Schmorrow & C.M. Fidopiastis (Eds.), Augmented cognition: Users and contexts (AC 2018, LNAI 10916, pp. 143-153). New York, NY: Springer.
Andrews-Todd, J., Forsyth, C., Steinberg, J., & Rupp, A. A. (2018). Identifying profiles of collaborative problem solvers in an online electronics environment. In K. E. Boyer & M. Yudelson (Eds.), Proceedings of the 11th International Conference on Educational Data Mining (pp. 239 – 245). Buffalo, NY: International Educational Data Mining Society.
Zapata-Rivera, D., & Forsyth, C. (2018, June). Providing intelligent support on computational thinking for adults. Paper presented at the Third International Workshop on Intelligent Mentoring Systems (IMS2018) held in conjunction with AIED2018, London, UK.
Andrews-Todd, J. Forsyth, C.M., & Steinberg., J. (2018) Exploring the Relationship between Collaborative Problem Solving Skills and Performance in an Online Simulation-Based Task . To be presented at the Society for Text and Discourse. Brighton, England.
Forsyth, C. M., Jackson, G. T., Hebert, D. Lehman, B., Inglese, P. & Grace,L. (2017). Striking a balance: User-experience and performance in computerized game-based assessment. In R.Baker, E. Andre, X. Hu, T. Rodrigo, B. du Bouley. The Proceedings of the International Conference on Artificial Intelligence in Education, LNCS. Springer: Verlag.
Forsyth, C. M., Peters, S., Zapata-Rivera, D., Lentini, J., Graesser, A. C., & Cai, Z. (2017). Interactive score reporting: An AutoTutor-based system for teachers. In R.Baker, E. Andre, X. Hu, T. Rodrigo, B. du Bouley. The Proceedings of the International Conference on Artificial Intelligence in Education, LNCS. Springer: Verlag.
Peters, S., Forsyth, C.M., Zapata-Rivera, D. (2017). Score Reports for Conversation-Based Assessments: Identifying and Interpreting Evidence. American Educational Research Association.
Millis, K, Forsyth,C.M., Wallace, P., & Cai, Z. (2017). Learning from a serious game with AutoTutor. Paper to be presented at the annual meeting of the Society for Text and Discourse, Philadelphia, PA.
2015-2016
Millis, K., Forsyth, C.M., Wallace, P., Graesser, A.C., Timmins, G. (2016). The impact of game-like features on learning from an intelligent tutoring system. Technology, Knowledge and Learning,, 22, 1-22. Link to PDF
Forsyth, C., Jackson, G. T., Zapata-Rivera, D., Lehman, B., & Katz, I. (2016, November). Conversation-based assessment systems created with AutoTutor Script Authoring Tool for Assessment. Poster presented at the Society for Computers in Psychology, Boston, MA.
Forsyth, C. Millis, K. Cai, Z., & Graesser, A. (2016, November). Learning from OperationARA: A game-like version of AutoTutor. Poster presented at the Society for Computers in Psychology, Boston, MA.
Moon, LaMar, Forsyth, & Keehner (2016, will be August). The Impact of Interactivity on Simulation-Based Science Inquiry with Variable-Setting Controls. Annual Meeting of the Cognitive Science Society. Philadelphia, PA.
Forsyth, C.M. & Graesser, A.C. (April, 2016). Predicting learning in a serious game with multiple pedagogical agents. American Educational Research Association. Washington, D.C.
Forsyth, C.M., Kerr, D. Moon, J.., Huang, J., Finn, B., LaMar, G.A., Cayton-Hodges, G. Keehner, M. (April, 2016). Gathering and interpreting process data from interactive simulations guided by cognitive science theory and methods. American Educational Research Association. Washington, D.C.
Forsyth, C.M., Graesser A.C., Olney, A.M., Millis, K., Walker, B. & Cai,C. (2015). Moody Agents: Affect and discourse during learning in a serious game. In Conati, C., & Heffernan, N.(Eds.), Proceedings of the 17th International Conference on Artificial Intelligence in Education (pp. xx-xx). Cham: Springer. Link to PDF
Forsyth, C.M. & Graesser, A.C. (April, 2015). Predicting learning in a serious game. In Design Issues in Regarding the Use of Games and Simulations for Learning and Assessment. American Educational Research Association. Chicago, IL.
Forsyth, C.M., So, Y., Luce, C. Battistini, L., Evanini, K., Zapata-Rivera, D., Tao, J., Jackson, T. (April, 2015). Man vs. Machine: Analyzing human responses to other humans vs. artificial agents in conversation-based assessment. American Educational Research Association. Chicago, IL.
2013-2014
Graesser, A. C., Li, H., & Forsyth, C. (2014). Learning by communicating in natural language with conversational agents. Current Directions in Psychological Science, 23(5), 374-380. doi: 10.1177/0963721414540680 Link to PDF
Forsyth, C.M., Graesser,A.C. Pavlik, P., Cai, Z., Butler,H., Halpern, D.F., and Millis,K.(2013). OperationARIES! methods, mystery and mixed models: Discourse features predict affect in a serious game. Journal of Educational Data Mining: Special Issue on Motivation, Meta-cognition, and Self-regulated Learning, 5(1), 147-189. Link to PDF
Graesser, A. & Forsyth, C. (2013). Discourse comprehension. In D. Reisberg (Ed.), Oxford handbook of cognitive psychology (475-491). Oxford, UK: Oxford University Press. In Oxford’s Handbook of Cognitive Psychology (475-491). Oxford, UK: Oxford University Press. Link to PDF
Forsyth, C.M., Graesser,A.C., Pavlik, P., Millis, K., and Samei, B. (July, 2014). Discovering Theoretically Grounded Predictors of Shallow vs. Deep- level Learning. In the Proceedings of The International Conference on Educational Data Mining.
Nye, B.D., Mustafa, H., Forsyth, C., Samei, B., Millis, K., & Hu, X. (July, 2014). Exploring real-time student models based on natural-language tutoring sessions: A look at the relative importance of predictors.I n the Proceedings of The International Conference on Educational Data Mining.
Forsyth, C.M., Graesser, A.C., Samei, B., Walker, B. & Pavlik, P. (June, 2014). Predicting Performance Behaviors during Question Generation in a Game-like Intelligent Tutoring System. In Joseph Polman, Elena Kyza, Kevin O'Neill, and Iris Tabak, Proceedings of the International Conference of Learning Sciences.
Millis, K., Wiemer, K., Boveri, D.B., Sabatini, J., O’Reilly, T., & Forsyth, C. (2014, August). Assessing the Cohesion of Causal-Based Essays. Poster at the 24nd Annual Meeting for the Society of Text and Discourse, Chicago, Illinois.
Graesser, A., Millis, K., Forsyth, C., Halpern, D. Butler, H., Wallace, P., & Cai, Z. (August, 2013). OperationARA: An Intelligent Tutoring System with Game-Like Features. Presented at American Psychological Association. Honolulu, Hawaii.
Forsyth, C., Graesser, A., Millis, K., Halpern, D., Butler, H. Wallace, P., & Cai.,Z. (August, 2013). OperationARA: A serious game with multi-agent natural language conversations. Presented at American Psychological Association. Honolulu, Hawaii.
Forsyth, C.M., Graesser, A.C., Walker, B., Millis, K., Pavlik, P, & Halpern, D. (2013). Didactic galactic: Types of knowledge learned in a serious game. In H. C. Lane, K.Yacef, J.Mostow, & P. Pavlik (Eds.). In Proceedings of Artificial Intelligence in Education: 16th International Conference (AIED 2013) Lecture Notes in Computer Science, 7926, pp 832-835. Lec Berlin, Heidelberg: Springer Verlag.
Forsyth,C.M., Graesser, A.C., Cai, Z., Pavlik, P., Millis, K., and Halpern, D. (April, 2013) Learner profiles emerge from a serious game teaching scientific inquiry. Presentation at American Educational Research Association, San Francisco, CA.
Forsyth, C.M., Millis, K., Pavlik, P., & Graesser, A.C. (April, 2013).Assessing performance metrics within a serious game. Presentation at American Educational Research Association, SanFrancisco, CA.
Forsyth, C.M. & Graesser, A.C. (April, 2014). Online Intelligent Tutoring Systems with Online Conversational Agents. In the Workshop for Learning Innovations at Scale. Presented at the Conference on Human Factors in Computing Systems (CHI 2014), Toronto, Canada,( 2014, April) . [INVITED]
Forsyth, C.M (November 14, 2013).Exploring Web-Based Intelligent Tutoring Systems: Implementations and Discoveries. Invited Talk at Lytics Lab Seminar. The Graduate School of Education. Stanford University. Stanford, CA. [INVITED]
Forsyth, C.M. (2013, June). Advanced Reasoning Skills. Presented at Middle School Matters Conference. Austin, TX. [INVITED]
Forsyth, C.M. (2013, June). Principles of Learning and Cognitive Science. Presented at Middle School Matters Conference. Austin, TX. [INVITED]
2011-2012
Halpern, D.F., Millis, K., Graesser, A.C., Butler, H., Forsyth, C.M., & Cai, Z. (2012). OperationARIES! A computerized learning game that teaches critical thinking and scientific reasoning. Thinking Skills and Creativity, 7, 93-100. Link to PDF
Butler,H., Forsyth,C. , Halpern, D., Graesser,A.C., & Millis,K. (2011). Secret agents, alien spies, and a quest to save the world: Operation ARIES! Engages students in scientific reasoning and critical thinking. In R. L. Miller, R. F. Rycek, E. Amsel, B. Kowalski, B. Beins, K. Keith, & B.Peden (Eds.)., Volume 1: Programs, Techniques and Opportunities. Syracuse, NY: Society for the Teaching of Psychology. Available from the STP web site: http://www.teachpsych.org/teachpsych/pnpp/.
Millis, K., Forsyth, C., Butler, H., Wallace, P., Graesser, A. C., & Halpern, D. (2011). Operation ARIES! A serious game for teaching scientific inquiry. In M. Ma, A. Oikonomou, & J. Lakhmi (Eds.), Serious games and edutainment applications (pp.169-196). London: Springer-Verlag. Link to PDF
Forsyth,C.M. Pavlik, P., Graesser,A.C. Cai,Z ,Germany,M, Millis, K., Butler,H., Halpern,D. and Dolan,R.(2012). Learning gains for core concepts in a serious game on scientific reasoning. In K.Yacef,O. Zaïane, H. Hershkovitz, M. Yudelson, and J. Stamper (Eds.) Proceedings of the 5th International Conference on Educational Data Mining (pp 172-175). Chania, Greece: International Educational Data Mining Society.
Cai, Z., Forsyth, C. Germany, M.L, Graesser, A. & Millis, K. (2012, June). Accuracy of tracking student’s natural language in OperationARIES!: a serious game for scientific methods. In S.A. Cerri and B. Clancey (Eds.) Proceedings of the International Conference on Intelligent Tutoring Systems (ITS2012) Lecture Notes in Computer Science , 7315( pp 629-630). Berlin Heidelberg: Springer Verlag.
Forsyth, C. Graesser, A.C., Pavlik, P, Cai, Z., Germany, M., Millis, K., Wallace P., Halpern, D., Butler, H. (June 2012). OperationARIES!: A serious game teaching research methodology. Presented at International Conference on Educational Data Mining.
Forsyth, C. (May, 2012). Presentation of Operation ARIES: Technology Enhanced Assessment Symposium, Washington, D.C.
Forsyth, C.M., Burkett, C, Halpern, D., Millis, K. ,Graesser,A.C., and Germany,M.( July, 2011). " Readers in the Malleable Middle of Prior Knowledge benefit Most from Full Texts over Summaries " Poster session will be presented at the annual meeting of the Society for Text and Discourse. Poitiers, France.
Forsyth C.M. (June, 2011). "Teaching Scientific Inquiry with a Serious Game". Presented at The 8th Annual Games for Change Festival.New York,NY.
Forsyth,C.,Graesser,A., Millis.K., Cai, Z. Halpern,D. OperationARIES!(2011): Aliens, Spies and Research Methods. In D'Mello,S.K., Graesser,A., Schuller,B. (Eds.) . Affective Computing and Intelligent Interaction: Lecture Notes in Computer Science. Berlin: Springer.
Cai, Z., Graesser, A.C., Forsyth, C., Burkett, C., Millis, K., Wallace, P., Halpern, D. & Butler, H.(2011, November). Trialog in ARIES: User Input Assessment in an Intelligent Tutoring System. In W. Chen & S. Li (Eds.), Proceedings of the 3rd IEEE International Conference on Intelligent Computing and Intelligent Systems(pp.429-433). Guangzhou: IEEE Press.
2009-2010
Graesser, A.C., Britt, A., Millis, K., Wallace, P., Halpern, D., Cai, Z., Kopp, K. & Forsyth, C. (2010). Critiquing media reports with flawed scientific findings: Operation ARIES!, a game with animated agents and natural language trialogues. In J. Aleven, J. Kay, & J. Mostow (Eds.)(2010). Lecture Notes in Computer Science (pp.327-329).London: Springer.
Forsyth, C., Butler, H., Graesser, A. C., Halpern, D. F., Millis, K. K., Cai, Z., et al. (2010). Higher contributions correlate with higher learning gains. Proceedings of the Educational Data Mining Conference, Vol. 3 (pp. 287-288).
Wallace, P., Millis, K., Graesser, A., Forsyth,C. Magliano,J. (2010). Can Trialogs with Animated Agents Increase Testing Effects? Presented at The Society for Text and Discourse Conference (Chicago, IL).Forsyth, C., Graesser. A.C, Halpern, D., Millis, K; Wallace, P., Cai, Z; & Butler, H. (2009). ARIES: Acquiring research investigative and evaluative skills (Poster).Presented at SCiP (Boston, MA).
Cai, Z., Graesser, A. C., Millis, K.,Halpern, D., Wallace, P., Moldovan, C.& Forsyth, C. (2009). ARIES: Interactive text. Presented at AIED (Brighton,England).
Graesser, A.; Forsyth, C.; & Radvansky, G. (2009). Technical report for Sandia Laboratories. Final report 15 October, 2009. Report No.: 101709.