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Intelligent Tutoring Systems (ITS) are platforms that allow for students to learn concepts and receive feedback through the use of computers. Intelligent Tutoring Systems (ITS) are software systems that work with students to help a with learning a skill. Fundamentally, ITS provide feedback to students in order to facilitate learning and growth. Modern ITS help educate students across a vast array of topics. ITS are leveraged in reading comprehension education, helping students to improve their ability to read and understand various forms of text.

Wilbur will be an ITS that provides the framework required to build lessons that help students improve their reading comprehension skills. Wilbur focuses on two main aspects of ITS that are lacking in other implementations. First, Wilbur works towards providing student engagement, and has the framework in place to provide feedback that is at the appropriate level for the student’s performance. Second, Wilbur focuses on providing teachers with a simple way to create lessons for students, making the system approachable and user friendly. Wilbur is a web-based tool, providing easy access to students and teachers in remote learning-based scenarios.


  1. Admiraal, W., Huizenga, J., Akkerman, S., & Dam, G. ten. (2011). The concept of flow in collaborative game-based learning. Computers in Human Behavior, 27(3), 1185–1194. https://doi.org/10.1016/j.chb.2010.12.013
  2. Baker, E. L., & O’Neil, H. F. (1994). Technology Assessment in Education and Training. Psychology Press.
  3. Baker, R. S., Corbett, A. T., & Koedinger, K. R. (2004). Detecting Student Misuse of Intelligent Tutoring Systems. In J. C. Lester, R. M. Vicari, & F. Paraguaçu (Eds.), Intelligent Tutoring Systems (Vol. 3220, pp. 531–540). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-30139-4_50
  4. Benjamin, L. T. (1988). A History of Teaching Machines. American Psychologist, 10.
  5. Buchanan, B. G. (2005). A (Very) Brief History of Artificial Intelligence. AI Magazine, 26(4), 53–53. https://doi.org/10.1609/aimag.v26i4.1848
  6. Burns, H., Luckhardt, C. A., Parlett, J. W., & Redfield, C. L. (2014). Intelligent Tutoring Systems: Evolutions in Design. Psychology Press. 10
  7. Carbonell, J. R. (1970). AI in CAI: An Artificial-Intelligence Approach to Computer-Assisted Instruction. IEEE Transactions on Man-Machine Systems, 11(4), 190–202. https://doi.org/10.1109/TMMS.1970.299942
  8. Digital users worldwide 2020. (n.d.). Statista. Retrieved July 25, 2020, from https://www.statista.com/statistics/617136/digital-population-worldwide/
  9. du Boulay, B., & del Soldato, T. (2016). Implementation of Motivational Tactics in Tutoring Systems: 20 years on. International Journal of Artificial Intelligence in Education, 26(1), 170–182. https://doi.org/10.1007/s40593-015- 0052-1
  10. Eggert, A., Middlecamp, C., & Kean, E. (1991). CHEMPROF: An intelligent tutor for general chemistry. Journal of Chemical Education, 68(5), 403. https://doi.org/10.1021/ed068p403
  11. Fry, E. (1960). Teaching Machine Dichotomy: Skinner vs. Pressey. Psychological Reports, 6(1), 11–14. https://doi.org/10.2466/pr0.1960.6.1.11
  12. Gray, L. (2008). Educational Technology in U.S. Public Schools: Fall 2008, First Look. 66.
  13. Hagerman, M. S. (2019). Digital Literacies Learning in Contexts of Development: A Critical Review of Six IDRC-Funded Interventions 2016–
  14. Media and Communication, 7(2), 115. https://doi.org/10.17645/mac.v7i2.1959
  15. Harsley, R., Di Eugenio, B., Green, N., & Fossati, D. (2017). Enhancing an Intelligent Tutoring System to Support Student Collaboration: Effects on Learning and Behavior. In E. André, R. Baker, X. Hu, Ma. M. T. Rodrigo, & B. du Boulay (Eds.), Artificial Intelligence in Education (pp. 519–522). Springer International Publishing. https://doi.org/10.1007/978-3-319-61425-0_54
  16. Harsley, R., Di Eugenio, B., Green, N., Fossati, D., & Acharya, S. (2016). Integrating Support for Collaboration in a Computer Science Intelligent Tutoring System. In A. Micarelli, J. Stamper, & K. Panourgia (Eds.), Intelligent Tutoring Systems (pp. 227–233). Springer International Publishing. https://doi.org/10.1007/978-3-319-39583-8_22
  17. Hodhod, R., Cairns, P., & Kudenko, D. (2011). Innovative Integrated Architecture for Educational Games: Challenges and Merits. In Z. Pan, A. D. Cheok, W. Müller, & X. Yang (Eds.), Transactions on Edutainment V (pp. 1–34). Springer. https://doi.org/10.1007/978-3-642-18452-9_1
  18. ICT Statistics. (2006). http://www.itu.int/ITU-D/ict/statistics/ict/ 11
  19. Intelligent tutoring systems: An overview. (1990). Artificial Intelligence Review, page 27.
  20. Jacovina, M. E., Tanner Jackson, G., Snow, E. L., & McNamara, D. S. (2016). Timing Game-Based Practice in a Reading Comprehension Strategy Tutor. In A. Micarelli, J. Stamper, & K. Panourgia (Eds.), Intelligent Tutoring Systems (pp. 59–68). Springer International Publishing. https://doi.org/10.1007/978-3- 319-39583-8_6
  21. Johnson, A. M., Guerrero, T. A., Tighe, E. L., & McNamara, D. S. (2017). iSTART-ALL: Confronting Adult Low Literacy with Intelligent Tutoring for Reading Comprehension. In E. André, R. Baker, X. Hu, Ma. M. T. Rodrigo, & B. du Boulay (Eds.), Artificial Intelligence in Education (pp. 125–136). Springer International Publishing. https://doi.org/10.1007/978-3-319-61425-0_11
  22. Lach, P. (2013). Intelligent Tutoring Systems Measuring Student’s Effort During Assessment. In O. R. Zaïane & S. Zilles (Eds.), Advances in Artificial Intelligence (pp. 346–351). Springer. https://doi.org/10.1007/978-3-642-38457- 8_37
  23. Mills, C., Bosch, N., Graesser, A., & D’Mello, S. (2014). To Quit or Not to Quit: Predicting Future Behavioral Disengagement from Reading Patterns. In S. Trausan-Matu, K. E. Boyer, M. Crosby, & K. Panourgia (Eds.), Intelligent Tutoring Systems (Vol. 8474, pp. 19–28). Springer International Publishing. https://doi.org/10.1007/978-3-319-07221-0_3
  24. Olsen, J. K., Belenky, D. M., Aleven, V., & Rummel, N. (2014). Using an Intelligent Tutoring System to Support Collaborative as well as Individual Learning. In S. Trausan-Matu, K. E. Boyer, M. Crosby, & K. Panourgia (Eds.), Intelligent Tutoring Systems (Vol. 8474, pp. 134–143). Springer International Publishing. https://doi.org/10.1007/978-3-319-07221-0_16
  25. Pressey, S. L. (1950). Development and Appraisal of Devices Providing Immediate Automatic Scoring of Objective Tests and Concomitant Self- Instruction. The Journal of Psychology, 29(2), 417–447. https://doi.org/10.1080/00223980.1950.9916043
  26. Roscoe, R. D., & McNamara, D. S. (2013). Writing pal: Feasibility of an intelligent writing strategy tutor in the high school classroom. Journal of Educational Psychology, 105(4), 1010–1025. https://doi.org/10.1037/a0032340
  27. Roser, M., Ritchie, H., & Ortiz-Ospina, E. (2015). Internet. Our World in Data. https://ourworldindata.org/internet 12
  28. Shute, V. J., & Psotka, J. (1994). Intelligent Tutoring Systems: Past, Present, and Future.: Defense Technical Information Center. https://doi.org/10.21236/ADA280011
  29. Sidney Pressey. (n.d.). Retrieved June 6, 2020, from http://faculty.coe.uh.edu/smcneil/cuin6373/idhistory/pressey.html
  30. The Automatic Teacher. (2015, February 4). Hack Education. http://hackeducation.com/2015/02/04/the-automatic-teacher
  31. Xu, Z., Wijekumar, K. (Kay), Ramirez, G., Hu, X., & Irey, R. (2019). The effectiveness of intelligent tutoring systems on K-12 students’ reading comprehension: A meta-analysis. British Journal of Educational Technology, 50(6), 3119–3137. https://doi.org/10.1111/bjet.12758
  32. Zhuang, Y., Kwok, L.-F., & Cheung, S. K. S. (2013). A Case Review on the Implementation of Intelligent Tutoring Systems on Mobile Devices. In S. K. S. Cheung, J. Fong, W. Fong, F. L. Wang, & L. F. Kwok (Eds.), Hybrid Learning and Continuing Education (pp. 21–32). Springer. https://doi.org/10.1007/978-3- 642-39750-9_3