| Paiva,A. Self, J. Hartley, R. (1994).On the Dynamics of Learner Models.. ECAI 94. 11th European Conference on Artificial Intelligence. Edited by A. Cohn. Published in 1994 by John Wiley & Sons, Ltd. |
....on the actions performed by him or her. From this point of view the student model is analogous to an educational or psychological test instrument that attempts to measure student characteristics [8] It can be seen as a representation in the system of some characteristics of a particular student [13]. Inferring a 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 ....
Paiva,A. Self, J. Hartley, R. (1994).On the Dynamics of Learner Models.. ECAI 94. 11th European Conference on Artificial Intelligence. Edited by A. Cohn. Published in 1994 by John Wiley & Sons, Ltd.
....to carry out profile maintenance activities. This, in fact, is how we deal with the problems of user model maintenance that usually prove so difficult in many user and student modelling applications [6] We are not the first to suggest that users should help maintain their own user models (see [9]) but in order for this to work, the context must be right for them to do so. The widespread use of PHelpS in an organization should encourage workers to ensure that the accuracy of their own user models is maintained. We believe that workers will want to keep an up to date record of their ....
A. Paiva, J. Self, and R. Hartley. On the dynamics of learner models. In 11th European Conference on Artificial Intelligence, pages 163--167, 1994.
....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., Self, J., and Hartley, R. (1994). On the dynamics of learner models. In Proceedings of ECAI '94, 163-167.
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