Software

Daphne Academy

Daphne Academy is an intelligent tutoring system capable of adapting its content to a user’s array of ability levels (where each ability level corresponds to some learning topic). With the partnership of the D.O.D, Daphne Academy has developed into a mature prototype ready for more rigorous testing and, soon enough, final deployment. Guest account credentials for testing can be found below (as available).

Location: https://academy.selva-research.com

Guest Accounts

None available…

Methods

Item Response Theory

ItemResponseTheory

Adaptive Testing Methodology

AdaptiveTestingMethodology

Intelligent Tutoring Systems Literature

  1. Van Der Linden, W., & Ren, H. (2015). Optimal Bayesian Adaptive Design for Test-Item Calibration. Psychometrika, 80(2), 263–288. https://doi.org/10.1007/s11336-013-9391-8
  2. Koedinger, K. R., Anderson, J. R., Hadley, W. H., & Mark, M. A. (1997). Intelligent Tutoring Goes To School in the Big City. 30–43.
  3. Corbett, Albert T., Kenneth R. Koedinger, and John R. Anderson. “Intelligent tutoring systems.” Handbook of human-computer interaction. North-Holland, 1997. 849-874
  4. Kim, Woo-Hyun, and Jong-Hwan Kim. “Individualized AI tutor based on developmental learning networks.” IEEE Access 8 (2020): 27927-27937.
  5. Mayo, Michael, and Antonija Mitrovic. “Optimising ITS behaviour with Bayesian networks and decision theory.” (2001): 124-153.
  6. Folsom-Kovarik, Jeremiah T., Gita Sukthankar, and Sae Schatz. “Tractable POMDP representations for intelligent tutoring systems.” ACM Transactions on Intelligent Systems and Technology (TIST) 4.2 (2013): 1-22
  7. Graesser, Arthur C., et al. “AutoTutor: An intelligent tutoring system with mixed-initiative dialogue.” IEEE Transactions on Education 48.4 (2005): 612-618.
  8. D’mello, Sidney, and Art Graesser. “AutoTutor and affective AutoTutor: Learning by talking with cognitively and emotionally intelligent computers that talk back.” ACM Transactions on Interactive Intelligent Systems (TiiS) 2.4 (2013): 1-39.
  9. Cheung, B., et al. “SmartTutor: An intelligent tutoring system in web-based adult education.” Journal of Systems and Software 68.1 (2003): 11-25.
  10. Ong, James, and Sowmya Ramachandran. “Intelligent tutoring systems: Using ai to improve training performance and roi.” Networker Newsletter 19.6 (2003): 1-6.