Abstract
The actions a user performs on exercises depending on the different hinting techniques applied, can be used to adapt future exercises. In this paper, we propose a survey for users in order to know their different actions depending on different conditions. The analysis of preliminary results for some questions of the model shows that there is a correlation between some survey questions and the real student actions, but there is a case in which there is not such correlation. For the cases where that correlation exists, this correlation leads to think that some prediction of users actions based on survey results is possible.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Gertner, A.S., Conati, C., Vanlehn, K.: Procedural help in Andes: Generating hints using a Bayesian network student model. In: 15th National Conference on Artificial Intelligence, pp. 106–111. AAAI Press, Menlo Park (1998)
Conejo, R., Guzmán, E., de-la Cruz, J.-L.P., Millán, E.: An Empirical Study About Calibration of Adaptive Hints in Web-Based Adaptive Testing Environments. In: Wade, V.P., Ashman, H., Smyth, B. (eds.) AH 2006. LNCS, vol. 4018, pp. 71–80. Springer, Heidelberg (2006)
Zhoul, Y., Freedman, R., Glass, M., Michael, J.A., Rovick, A., Evens, M.W.: Delivering hints in a dialogue-based intelligent tutoring system. In: 16th National Conference on Artificial intelligence, pp. 128–134. AAII (1999)
Muñoz-Merino, P.J., Delgado Kloos, C., Muñoz-Organero, M.: Deciding on Different Hinting Techniques in Assessments for Intelligent Tutoring Systems. International Journal of Innovative Computing Information and Control 7(2), 841–858 (2011)
Feng, M., Heffernan, N.T., Koedinger, K.R.: Predicting state test scores better with intelligent tutoring systems: developing metrics to measure assistance required. In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 31–40. Springer, Heidelberg (2006)
Baker, R., Corbett, A.T., Roll, I., Koedinger, K.R.: Developing a generalizable detector of when students game the system. User Mod. and User-Adapted Int. 18, 287–314 (2008)
Aleven, V., Mclaren, B., Roll, I., Koedinger, K.R.: Toward Meta-cognitive Tutoring: A Model of Help Seeking with a Cognitive Tutor. Int. J. Artif. Intell. 16, 101–128 (2006)
Feng, M., Heffernan, N.T., Beck, J.: Using learning decomposition to analyze instructional effectiveness in the ASSISTment system. In: 14th International Conference on Artificial Intelligence in Education (AIED 2009), pp. 523–530. IOS Press, Amsterdam (2009)
Wolpers, M., Najjar, J., Verbert, K., Duval, E.: Tracking Actual Usage: the Attention Metadata Approach. Educational Technology & Society 10(3), 106–121 (2007)
Schmitz, H., Scheffel, M., Friedrich, M., Jahn, M., Niemann, K., Wolpers, M.: CAMera for PLE. In: Cress, U., Dimitrova, V., Specht, M. (eds.) EC-TEL 2009. LNCS, vol. 5794, pp. 507–520. Springer, Heidelberg (2009)
Vasilyeva, E., Pechenizkiy, M., De Bra, P.M.E.: Adaptation of Elaborated Feedback in e-Learning. In: Nejdl, W., Kay, J., Pu, P., Herder, E. (eds.) AH 2008. LNCS, vol. 5149, pp. 235–244. Springer, Heidelberg (2008)
Felder, R.M., Silverman, L.K.: Learning and Teaching Styles in Engineering Education. Journal of Engineering Education 78, 674–681 (1988)
Mori, J., Matsuo, Y., Koshiba, H., Aihara, K., Takeda, H.: Predicting Customer Models Using Behavior-Based Features in Shops. In: Houben, G.-J., McCalla, G., Pianesi, F., Zancanaro, M. (eds.) UMAP 2009. LNCS, vol. 5535, pp. 126–137. Springer, Heidelberg (2009)
Bohnert, F., Zukerman, I., Berkovsky, S., Baldwin, T., Sonenberg, L.: Using Interest and Transition Models to Predict Visitor Locations in Museums. AI Communications 21 (AICom) – Special Issue on Recommender Systems, 195–202 (2008)
Malhotra, N.K.: Questionnaire design and scale development. In: The Handbook of Marketing Research Uses Misuses and Future Advances, pp. 83–94. Sage Publications, Inc., Thousand Oaks (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Muñoz-Merino, P.J., Pardo, A., Muñoz-Organero, M., Delgado Kloos, C. (2011). Towards the Prediction of User Actions on Exercises with Hints Based on Survey Results. In: Kloos, C.D., Gillet, D., Crespo García, R.M., Wild, F., Wolpers, M. (eds) Towards Ubiquitous Learning. EC-TEL 2011. Lecture Notes in Computer Science, vol 6964. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23985-4_50
Download citation
DOI: https://doi.org/10.1007/978-3-642-23985-4_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23984-7
Online ISBN: 978-3-642-23985-4
eBook Packages: Computer ScienceComputer Science (R0)