289
Views
3
CrossRef citations to date
0
Altmetric
Articles

An enhanced Elo-based student model for polychotomously scored items in adaptive educational system

, , , &
Pages 5477-5494 | Received 05 Apr 2021, Accepted 17 Nov 2021, Published online: 06 Dec 2021

References

  • Arroyo, I., Woolf, B. P., Burleson, W., Muldner, K., Rai, D., & Tai, M. (2014). A multimedia adaptive tutoring system for mathematics that addresses cognition, metacognition and affect. International Journal of Artificial Intelligence in Education, 24, 387–426.
  • Bachari, E. E., Abelwahed, E. H., & Adnani, M. E. (2011). e-learning personalization based on dynamic learners’ preference. International Journal of Computer Science & Information Technology, 3(3), 200–216. https://doi.org/10.5121/IJCSIT.2011.3314
  • Bienkowski, M., Feng, M., & Means, B. (2012). Enhancing teaching and learning through educational data mining and learning analytics: An issue brief. In ATE, USA (pp. 1–51).
  • Birnbaum, A. L. (1968). Some latent trait models and their use in inferring an examinee's ability. In F. Ford, & M. Novick (Eds.), Statistical theories of mental test scores (pp. 397–479). Addison-Wesley.
  • Bo, Y.-c., Lewis, C., & Budescu, D. V. (2013). Abstract: An option-based partial credit IRT model for multiple-choice tests. Multivariate Behavioral Research, 48(1), 146–147. https://doi.org/10.1080/00273171.2012.748348
  • Burkner, P. C., Schwabe, R., & Holling, H. (2019). Optimal designs for the generalized partial credit model. British Journal of Mathematical and Statistical Psychology, 72(2), 271–293. https://doi.org/10.1111/bmsp.12148
  • Chen, C. M., Lee, H. M., & Chen, Y. H. (2005). Personalized e-learning system using item response theory. Computers & Education, 44(3), 237–255. https://doi.org/10.1016/j.compedu.2004.01.006
  • Ekanadham, C., & Karklin, Y. (2015). T-SKIRT: Online estimation of student proficiency in an adaptive learning system. In Proceedings of the 31st International Conference on Machine Learning, Lille, France, Volume 37.
  • Elo, A. (1978). The Rating of Chessplayers: Past and Present (Vol. 1, pp. 3–17). New York: Acro Publishing.
  • Jochen, V. (2013). Markov Chain Monte Carlo methods. John Wiley & Sons.
  • Juraj, N., Radek, P., & Jirí, R. (2015). Student models for prior knowledge estimation. In International Educational Data Mining Society, 8th EDM 2015, Madrid, Spain (pp. 109–116).
  • Khajah, M., Lindsey, R. V., & Mozer, M. C. (2016). How deep is knowledge tracing. In 9th EDM 2016, Raleigh, USA (pp. 94–101).
  • Lehmann, R., & Wohlrabe, K. (2017). Who is the ‘Journal Grand Master’? A new ranking based on the Elo rating system. Journal of Informetrics, 11(3), 800–809. https://doi.org/10.1016/j.joi.2017.05.004
  • Mangaroska, K., Vesin, B., & Giannakos, M. (2019). Elo-rating method: towards adaptive assessment in e-learning. In 19th ICALT 2019, Maceió, Alagoas, Brazil (pp. 380–382).
  • Masters, G. N. (2010). The partial credit model. In M. L. Nering & R. Ostini (Eds.), Handbook of polytomous item response theory models (pp. 109–122). Routledge/Taylor & Francis Group.
  • Papoušek, J., Pelanek, R., & Stanislav, V. (2014). Adaptive practice of facts in domains with varied prior knowledge. In 7th EDM 2014, London, UK (pp. 6–13).
  • Pelánek, R. (2014). Application of time decay functions and the Elo system in student modeling. In 7th EDM 2014, London, UK (pp. 21–27).
  • Pelanek, R. (2016). Applications of the Elo rating system in adaptive educational systems. Computers & Education, 98, 169–179. https://doi.org/10.1016/j.compedu.2016.03.017
  • Pelánek, R. (2017). Bayesian knowledge tracing, logistic models, and beyond: An overview of learner modeling techniques. User Modeling and User-adapted Interaction, 27(3), 313–350. https://doi.org/10.1007/s11257-017-9193-2
  • Pelánek, R., Papoušek, J., Řihák, J., Stanislav, V., & Nižnan, J. (2017). Elo-based learner modeling for the adaptive practice of facts. User Modeling and User-adapted Interaction, 27(1), 89–118. https://doi.org/10.1007/s11257-016-9185-7
  • Rasch, G. (1993). Probabilistic models for some intelligence and attainment tests. In Achievement Tests.
  • Ritter, S., Carlson, R., Sandbothe, M., & Fancsali, S. E. (2015). Carnegie learning’s adaptive learning products. In O. Santos et al. (Eds.), 8th International Conference on Educational Data Mining (EDM2015), 26–29 June 2015, Madrid, Spain.
  • Shuai, W., Claire, C., Wei, C., Tong, R., Yarnall, L., Shear, L., & Feng, M. (2020). When adaptive learning is effective learning: Comparison of an adaptive learning system to teacher-led instruction. Interactive Learning Environments, https://doi.org/10.1080/10494820.2020.1808794
  • Sun, Q., Abdourazakou, Y., & Norman, T. J. (2017). Learnsmart, adaptive teaching, and student learning effectiveness: An empirical investigation. Journal of Education for Business, 92(1), 36–43. https://doi.org/10.1080/08832323.2016.1274711
  • VanLehn, K. (2011). The relative effectiveness of human tutoring, intelligent tutoring systems and other Tutoring systems. Educational Psychologist, 46(4), 197–221. https://doi.org/10.1080/00461520.2011.611369
  • Wauters, K., Desmet, P., & Van Noortgate, W. (2011). Monitoring learners’ proficiency: weight adaptation in the Elo rating system. In 4th EDM 2011, Nairobi, Kenya (pp. 247–251).
  • Wilson, K. H., Karklin, Y., Han, B., & Ekanadham, C. (2016). Back to the basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation. In 9th EDM 2016, Raleigh, USA (pp. 539–544).
  • Yudelson, M. V., Koedinger, K. R., & Gordon, G. J. (2013). Individualized Bayesian knowledge tracing models. In 16th AIED 2013, Berlin, Heidelberg.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.