Holt, P., Dubs, S., Jones, M., Greer, J.E.: 1994, `The State of Student Modelling. In: J.E. Greer and G.I. McCalla (eds.): Student Modeling: the Key to Individualized Knowledge-- based Instruction. Berlin: Springer-Verlag, NATO ASI Series, 3-35, 1994.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....can be described as the information that an Intelligent Tutoring System (ITS) keeps about the knowledge of a student. It is used to drive instructional decisions in order to make an ITS adaptable to individual learners. There are many techniques for generating student models in the literature [6], however most of these techniques are computationally complex and expensive, for example numerical techniques [7] There are three major paradigms of such numerical techniques: Bayesian Networks [13] 10] the Dempster Shafer theory of evidence [3] and the fuzzy student modelling approach [5] ....

Holt, P., Dubs, S., Jones, M., and Greer, J. The state of student modelling. In Greer, J.E. and McCalla, G.I.(Eds): Student Modelling: The Key to Individualized Knowledge-Based Instruction, pages 3--35, NATO-ASI Series F, Springer-Verlag, 1994.

....in an Intelligent Tutoring System, ITS, is a Student Model. This is a collection of data about the student that is used by the other components in the system in a number of different tasks. Lists of such tasks can be found in student modelling literature (e.g. VanLehn, 1988, Nwana, 1991, Holt et al. 1994) and include such items as planning the sequence of instruction, remediating misconceptions, generating feedback and explaining the reason for an error made by the student. In this paper student diagnosis is defined as the abstract process of gathering information about the student and turning ....

Holt, P., Dubs, S., Jones, M., and Greer, J. (1994). The state of student modelling. In Greer, J. E. and McCalla, G. I., editors, Student Modelling: The Key to Individualized Knowledge-Based Instruction, NATO_ASI Series F, pages 3--35. Springer-Verlag.

....instructional actions tailored to the particular student. The task of building a student model is extremely difficult and laborious, due to huge search spaces involved and the small amount of information to start from. Several researchers have pointed to the inherent intractability of the task [Holt et al. 1994, Ohlsson 1994, Self 1990] If the goal is to model student s knowledge completely and precisely, student modelling is bound to be intractable. However, a student model can be useful although it is not complete and accurate [Ohlsson 1994, Self 1994, Stern et al. 1996] Even simple and constrained ....

.... complete and accurate [Ohlsson 1994, Self 1994, Stern et al. 1996] Even simple and constrained modelling is sufficient for instruction purposes, and this claim is supported by findings that human teachers also use very loose models of their learners, and yet are highly effective in what they do [Holt et al. 1994, Self 1994] SQL Tutor uses Constraint Based Modelling (CBM) Ohlsson 1994] to form models of its students. CBM reduces the complexity of student modelling by focusing on faults only. Domain knowledge is represented in the form of state constraints, where a constraint defines a set of equivalent ....

Holt, P., Dubs, S., Jones, M., Greer, J.E. (1994). The State of Student Modelling. Student Modeling: the Key to Individualized Knowledge-based Instruction. Berlin: Springer-Verlag, 3-35.

.... knowledge) may not disappear within ILEs but may become more central [4] Similarly, a review of the function of student modelling in various instructional paradigms has pointed out that there is a need for more than analysing the learner s performance in terms of procedural knowledge and mistakes [2]. Exploring the shift in focus that ILEs emphasise, from the product to the process of learning, we are developing an approach by which processes of learnerenvironment interaction are formally analysed to inform the decisions of a learning Scholar of the National Council of Scientific and ....

Holt, P., Dubs, S., Jones, M. and Greer, J.: The state of student modelling. In: Greer, J. E. and McCalla, G. I. (eds.) Student Modelling: The key to Individualised Knowledge-based Instruction, Springer-Verlag (1994) 3-35.

.... Commonly, an ITS is composed of three modules: a domain model, a student model, and an instructor model[3] The domain model represents information specific to the subject being taught, the student model portrays the current student understanding or misunderstanding of the subject domain[1], and the instructor model contains knowledge required of teachers to select meaningful lessons for their students. For example, if the educational topic of interest were a subset of Euclidean geometry such as geometric proofs, the domain model would contain information such as the number of ....

Holt, Peter, et al. "The State of Student Modelling." Student Modelling: The Key to Individualized Knowledge-Based Instruction125 . NATO Special Programme on Advanced Educational Technology, edited by Jim E. Greer and Gordon I. McCalla. 3--35. Springer-Verlag, 1994.

....ITS is composed of three modules [8] 1. a domain (or expert) model, 2. a student model, and 3. an instructor model. The domain model represents information specific to the subject being taught, the student model portrays the current student understanding or misunderstanding of the subject domain [6], and the instructor model contains knowledge required of teachers to select meaningful lessons for their students. Hartley and Sleeman [5] identified these same basic requirements for an ITS in 1973. In fact, an ITS can be regarded as a distinct type of ICAI, with these three components making ....

....current knowledge of the subject at hand [2] While important progress has been made in ITS development, effectively modeling the student continues to present the designer with significant challenges. Several different approaches to modeling the student have been attempted, including the following [6]: 1. production rules, 2. logic programming, 3. machine learning, 4. artificial neural networks (ANNs) and 5. overlay models. Production rules provide the opportunity to represent both ideal rules and mal rules. For a simpler approach, logic programming offers the ability to implement inferencing ....

Holt, Peter, et al. "The State of Student Modelling." Student Modelling: The Key to Individualized Knowledge-Based Instruction125 . NATO Special Programme on Advanced Educational Technology, edited by Jim E. Greer and Gordon I. McCalla. 3--35. Springer-Verlag, 1994.

....which is used at runtime by the other components in the system in a number of different tasks. Such tasks include for instance planning the sequence of instruction, remediating misconceptions, generating feedback and explaining the reason for an error made by the student (see e.g. 23] 18] [12]) The complexity of the student modelling problem has caused researchers to question the necessity of student modelling (see e.g. 16] and for counter arguments [15] This question will not be discussed further in this paper, in the following it is assumed that student modelling is worthwhile. ....

Holt, P., Dubs, S., Jones, M., and Greer, J. The state of student modelling. In Greer, J. E. and McCalla, G. I., editors, Student Modelling: The Key to Individualized KnowledgeBased Instruction, NATO ASI Series F, pages 3--35. Springer-Verlag, 1994.

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Holt, P., Dubs, S., Jones, M., Greer, J.E.: 1994, `The State of Student Modelling. In: J.E. Greer and G.I. McCalla (eds.): Student Modeling: the Key to Individualized Knowledge-- based Instruction. Berlin: Springer-Verlag, NATO ASI Series, 3-35, 1994.

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HOLT P. AND DUBS S. AND JONES M. GREER J. (1994). The state of student modelling.

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Holt, P. , Dubs, S., Jones, M., Greer, J. (1994). The state of student modelling. In Jim E. Greer and Gordon I. McCalla, editors, Student Modelling: The Key to Individualized Knowledge-Based Instruction, volume 125 of NATO ASI Series F, Computer and Systems Sciences, pages 3-35. Springer-Verlag.

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Holt, P., Dubs, S., Jones, M., Greer, J.E.: 1994, The State of Student Modelling. In: J.E. Greer and G.I. McCalla (eds.): Student Modeling: the Key to Individualized Knowledge--based Instruction. Berlin: Springer-Verlag, NATO ASI Series, 3-35, 1994.

No context found.

Holt, P., Dubs, S., Jones, M., Greer, J.E.: 1994, `The State of Student Modelling'. In: J.E. Greer and G.I. McCalla #eds.#: Student Modeling: the Key to Individualized Knowledge# based Instruction. Berlin: Springer#Verlag, NATO ASI Series, 3-35.

No context found.

Holt, Peter, et al. "The State of Student Modelling." Student Modelling: The Key to Individualized Knowledge-Based Instruction125 . NATO Special Programme on Advanced Educational Technology, edited by Jim E. Greer and Gordon I. McCalla. 3--35. Springer-Verlag, 1994.

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