Paiva,A. Self, J. (1994). A Learner Model Reason Maintenance System. ECAI 94. 11th European Conference on Artificial Intelligence. Edited by A. Cohn. Published in 1994 by John Wiley & Sons, Ltd. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Neural Network-based Fuzzy Modeling of the Student.. - Stathacopoulou.. (Correct)
....student model is called diagnosis because it uncovers the hidden cognitive state from observable behavior [21] Student modeling is the process of creating and maintaining students models. Acquiring these models from observable behavior is a hard task because is based on guesses about the learner [12]. A lot of work has be done with artificial intelligence techniques to model student s reasoning [6] 4] 1] and with Bayesian networks to model student s behavior in a probabilistic way [3] Fuzzy logic techniques have been used to improve the performance of an ITS due to their ability to handle ....
Paiva,A. Self, J. (1994). A Learner Model Reason Maintenance System. ECAI 94. 11th European Conference on Artificial Intelligence. Edited by A. Cohn. Published in 1994 by John Wiley & Sons, Ltd.
Managing Temporal Knowledge in Student Modeling - Giangrandi, Tasso (1997) (1 citation) (Correct)
....model is built without considering the different moments at which data about the student have been collected. This hypothesis makes it possible to simplify the modeling process greatly, but unfortunately it seems too far removed from a realistic view (cf. Huang et al. 1991; Kono et al. 1994; Paiva et al. 1994; Paiva and Self, 1994; Errico, 1996) Let us consider the dialogue excerpt given in Figure 1, taken from the classic paper of Stevens and Collins (1982, p. 18) in the domain of meteorology, where t 7 , t 8 , etc. refer to different instants in the dialogue. This dialogue illustrates several ....
....considering the different moments at which data about the student have been collected. This hypothesis makes it possible to simplify the modeling process greatly, but unfortunately it seems too far removed from a realistic view (cf. Huang et al. 1991; Kono et al. 1994; Paiva et al. 1994; Paiva and Self, 1994; Errico, 1996) Let us consider the dialogue excerpt given in Figure 1, taken from the classic paper of Stevens and Collins (1982, p. 18) in the domain of meteorology, where t 7 , t 8 , etc. refer to different instants in the dialogue. This dialogue illustrates several points related to time: 1. ....
Paiva, A., and Self, J. (1994). A learner model reason maintenance system. In Proceedings of ECAI '94.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC