Publications: 2019/2020
Books
Sinatra, A.M., Graesser, A.C., Hu, X., Brawner, K., and Rus, V. (Eds.). (2019). Design Recommendations for Intelligent Tutoring Systems: Volume 7 - Self-Improving Systems. Orlando, FL: U.S. Army Research Laboratory. ISBN 978-0-9977257-7-3. Link to Book
Sinatra, A., Graesser, A.C., Hu, X., Goldberg, B., & Hampton, A. (2020). Design Recommendations for Intelligent Tutoring Systems: Data Visualization (Vol.8). Orlando, FL: Army Research Laboratory.
Refereed Journal Publications (Does not include book chapters)
Dowell, N. M. , Nixon, T., & Graesser, A. C. (2019). Group communication analysis: A computational linguistics approach for detecting sociocognitive roles in multi-party interactions. Behavior Research Method, 51, 1007-1041.s.doi:10.3758/s13428-018-1102-z Link to PDF
Fang, Y., Ren, Z., Hu, X. & Graesser, A. C. (2019). A Meta-analysis of the effectiveness of ALEKS on learning. Educational Psychology, 39, 1278-1292. doi:10.1080/01443410.2018.1495829 Link to PDF
Joksimović, S., Dowell, N. M., Gašević, D., Mirriahi, N., Dawson, S., & Graesser, A. C. (2019). Linguistic characteristics of reflective states in video annotations under different instructional conditions. Computers in Human Behavior, 96, 211-222. Link to PDF
Li, Y., Schoenfeld, diSessa, A.A., Graesser, A.C., Benson, L.C., English, L.D., & Duschl, R.A. (2020). Design and design thinking in STEM education. Journal of STEM Education Research, 2, 93-104. Link to PDF
Tawfik, A.A., Graesser, A.C., & Love, J. (2019). Supporting project-based learning through the Virtual Internship Author. Technology, Knowledge, and Learning, 25, 433-442. Link to PDF
Forsyth, C.M., Graesser, A.C., & Millis, K. (2020). Predicting learning in a multi-component serious game. Technology, Knowledge, and Learning, 25, 251-277. Link to PDF
Graesser, A.C. (2020). Emotions are the experiential glue of learning environments in the 21st century. Learning and Instruction, 70, 101212. Link to PDF
Graesser, A.C., Greiff, S., Stadler, M., Shubeck, K. T. (2020). Collaboration in the 21st Century: The theory, assessment, and teaching of collaborative problem solving. Computers in Human Behavior, 104, 106135. doi:10.1016/j.chb.2019.09.010 Link to PDF
Li, Y., Schoenfeld, A.H., diSessa, A.A., Graesser, A.C., Benson, L.C., English, L.D., Duschl, R.A. (2020). On computational thinking and STEM education. Journal of STEM Education Research, 2, 147-166.
Lippert, A., Shubeck, K., Morgan, B., Hampton, A, & Graesser, A.C. (2020). Multiple agent designs in conversational intelligent tutoring systems. Technology, Knowledge, and Learning, 25, 443-463. Link to PDF
Stadler, M., Shubeck, K. T., Greiff, S., & Graesser, A.C. (2020) Some Critical reflections on the special issue: Collaboration in the 21st century: The theory, assessment, and teaching of collaborative problem solving. Computers in Human Behavior, 104. doi: 10.1016/j.chb.2019.09.011 Link to PDF
Tawfik, A.A., Graesser, A.C, Gatewood, J., & Gishbaugher, J. (2020) Role of questions in inquiry-based instruction: towards a design taxonomy for question-asking and implications for design. Education Technology Research and Development, 68, 653-678. Link to PDF
Book Chapters
Cai, Z., Graesser, A.C., Hu, X., & Cockroft, J. L. (2019). Self-improving components in conversational intelligent tutoring systems. In A. Sinatra, A.C. Graesser, X. Hu, K. Brawner and V. Rus (Eds.), Design Recommendations for Intelligent Tutoring Systems: Self-improving systems (Vol.7)(pp. 119-126). Orlando, FL: Army Research Laboratory. Link to Book
Graesser, A.C., Greenberg, D., Olney, A.M., & Lovett, M.W. (2019). Educational technologies that support reading comprehension for adults who have low literacy skills. In D. Perin (Ed). Wiley adult literacy handbook (pp. 471-493). New York: Wiley. Link to PDF
Graesser, A. C., Lippert, A. M., Shubeck, K. T. (2019). Knowledge representation and acquisition. In R. J. Sternberg & J. Funke (Eds.), The Psychology of Human Thought: An Introduction (pp. 71-88). Heidelberg, Germany: Heidelberg University Publishing. Link to Book
Braasch, J.,L.G., & Graesser, A.C. (2020). Avoiding and overcoming misinformation on the internet. In R.J. Sternberg and D. Halpern (Eds.), Critical Thinking in Psychology (vol. 2, pp. 125-151). Cambridge: Cambridge University Press.
Graesser, A.C. (2020). Learning science principles and technologies with agents that promote deep learning. In R.S. Feldman (ed.), Learning science: Theory, research, and practice (pp. 2-33). New York: McGraw-Hill. Link to PDF
Graesser, A.C., Hu, X., Rus, V., & Cai, Z. (2020). AutoTutor and other conversation-based learning and assessment environments. In A. Rupp, D. Yan, and P. Foltz (Eds.)., Handbook of automated scoring: theory into practice (pp. 383-402). New York: CRC Press/Taylor and Francis. Link to PDF
Morgan, B.A., Hogan, A.M., Hampton, A.J., Lippert, A.M., & Graesser, A.C. (2020). The need for personalized learning and the potential of intelligent tutoring systems. In P. van Meter, A. List, & D. Lombardin and P. Kendeou (Eds), Handbook of learning from multiple representations and perspectives (pp. 495-512). New York: Routledge.
Conference Proceedings
Cai, Z., Hu, X., & Graesser, A.C. (2019). Authoring conversational Intelligent Tutoring Systems. In R.A. Sottilare and J. Schwarz (Eds.), Proceedings of the First International Conference on Adaptive Instruction Systems (pp.593-603). Orlando, FL: Springer. Link to PDF
Cai, Z., Siebert-Evernston, A., Eagan, B., Shaffer, D.W., Hu, X., & Graesser, A.C. (2019). nCoder+: A Semantic Tool for Improving Recall of nCoder Coding. In B. Eagan, M. Misfeldt, A. Siebert-Evenstone (Eds.), Advances in Quantitative Ethnography Proceedings of the First International Conference on Quantitative Ethnography (pp.41-54). Madison, WI: Springer, Cham Link to PDF
Hampton, A. J., & Graesser, A. C. (2019). Foundational principles and design of a hybrid tutor. In R. A. Sottilare & J. Schwarz (Eds.) Proceedings of the First International Conference, AIS 2019, Held as Part of the 21st HCI International Conference (pp. 96–107), Orlando, FL, USA, July 26–31, 2019. Link to PDF
Hampton, A. J., Rus, V., Andrasik, F., Nye, B. D., & Graesser, A. C. (2019). A Conversational intelligent agent for Navy career guidance and counseling. In R. Barták and K. Brawner (Eds.) Proceedings of the Thirty-Second Florida Artificial Intelligence Research Society Conference (pp. 402–407). Sarasota, FL: AAAI Press. Link to PDF
Hu, X., Cai, Z., Hampton, A. J., Cockroft, J. L., Graesser, A. C., Copeland, C., & Folsom-Kovarik, J. T. (2019). Capturing AIS behavior using xAPI-like statements. In R. A. Sottilare & J. Schwarz (Eds.) Proceedings of the First International Conference, AIS 2019, Held as Part of the 21st HCI International Conference (204–216), Orlando, FL, USA, July 26–31, 2019. Link to PDF
Lippert, A., Gatewood, J., Cai, Z., & Graesser, A.C. (2019). Using an Adaptive Intelligent Tutoring System to Promote Learning Affordances for Adults with Low Literacy Skills. In R.A. Sottilare and J. Schwarz (Eds.), Proceedings of the First International Conference on Adaptive Instruction Systems (pp.327-339). Orlando, FL: Springer. Link to PDF