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Assessment Of Cognitive Style Preference Through Click Stream Analysis Of Educational Hypermedia User Choice And Browsing Patterns: A Conceptual Model
Author(s) -
Alan Price
Publication year - 2020
Publication title -
papers on engineering education repository (american society for engineering education)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--430
Subject(s) - hypermedia , adaptive hypermedia , computer science , cognitive style , usability , multimedia , user interface , the internet , hypertext , conceptual model , human–computer interaction , preference , world wide web , cognition , database , psychology , neuroscience , economics , microeconomics , operating system
Research in adaptive hypermedia educational systems has increased with the growth of the Internet. Currently, all adaptive hypermedia educational systems collect information about cognitive style through completion of a questionnaire based on a psychometric test. This direct measure may be intrusive and annoying to a student and makes an adaptive system aligned to cognitive style unavailable for students that have not completed the questionnaire. It is posited that non-intrusive methods for determining the cognitive style of hypermedia system users are needed to maximize the usability, functionality, and goals of adaptive hypermedia systems. This paper offers a new approach for the autonomous computer-based assessment of preferred cognitive style that can support studies in user modeling and human-computer interface domains. It further posits a conceptual model that attempts to determine the preferred cognitive style of an online educational hypermedia user through click-stream analysis of their web-based hypermedia choices and browsing patterns.

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