Möbus, Claus and Schröder, Olaf and Thole, Heinz-Jürgen (1995) Online Modeling the Novice-Expert Shift in Programming Skills on a Rule-Schema-Case Partial Order. In: Cognition and Computer Programming. Ablex Series in Computational Sciences . Ablex, Norwood, N.J., USA, pp. 63-105. ISBN 1-56750-094-3

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We developed an adaptive help system that supports learners working on planning tasks. The system possesses knowledge about a big solution space in order to be able to recognize not only standard but also 'unusual' solutions. In order to meet the requirements mentioned we developed a theoretical framework of problem solving and learning that serves as a base for interpreting the student's actions and verbalizations and for constructing a learner model. There are two versions of this model: 1) An Internal Model (IM) diagnoses the actual domain knowledge of the learner at different stages in the knowledge acquisition process(state model). It is based on the computer-assessable data provided by the interaction of the student with the system. The IM is designed to be an integrated part of the help system ('internal' to it) in order to provide online diagnosis, user-centered feedback, and help. 2) An External Model (EM) is designed to simulate the knowledge acquisition processes of learners (process model) on a level of detail not available to the IM (i.e., including verbalizations) The EM is not part of the help system ('external' to it), but supports the design of the IM.

Item Type: Book Section
Uncontrolled Keywords: adaptive help system, planning tasks, solution space, recognition of solutions, interpretation of actions, interpretation of verbalizations, learner model, online diagnosis, internal model, computer accessible data, state model, diagnosis, user-centered feedback, user-centered help, simulation, knowledge-acquisition process, external model, process model, verbalizations
Subjects: Generalities, computers, information > Computer science, internet
Philosophy and psychology > Psychology
Divisions: School of Computing Science, Business Administration, Economics and Law > Department of Computing Science
Date Deposited: 10 Sep 2015 08:00
Last Modified: 10 Sep 2015 08:00
URI: https://oops.uni-oldenburg.de/id/eprint/2213
URN: urn:nbn:de:gbv:715-oops-22941
DOI: DOI: 10.13140/2.1.1810.2087

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