An Intelligent Mechanism for Adaptive Peer User Modeling in Web-Based Environments

A key challenge of adaptive interactive systems is to provide a positive user experience by extracting implicitly the users' unique characteristics through their interactions with the system, and dynamically adapting and personalizing the system's content presentation and functionality. Among the different dimensions of individual differences that could be considered, this work utilizes the cognitive styles of users as determinant factors for personalization. The overarching goal of this paper is to increase our understanding about the effect of cognitive styles of users on their navigation behavior and content representation preference. We propose a Web-based tool, utilizing Artificial Intelligence techniques, to implicitly capture and find any possible relations between the cognitive styles of users and their characteristics in navigation behavior and content representation preference by using their Web interaction data. The proposed tool has been evaluated with a user study revealing that cognitive styles of users have an effect on their navigation behavior and content representation preference. Research works like the reported one are useful for improving implicit and intelligent user modeling in engineering adaptive interactive systems.

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User Modeling on Adaptive Web-Based Learning Communities

Lecture Notes in Computer Science - Knowledge-Based Intelligent Information and Engineering Systems ◽

10.1007/978-3-540-45226-3_36 ◽

2003 ◽

pp. 260-266

Author(s):

Elena Gaudioso ◽

Jesus G. Boticario

Keyword(s):

Learning Communities ◽

User Modeling ◽

Web Based ◽

Web Based Learning

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A User Modeling Approach to Web Based Adaptive Educational Hypermedia Systems

2008 Seventh International Conference on Machine Learning and Applications ◽

10.1109/icmla.2008.66 ◽

2008 ◽

Cited By ~ 7

Author(s):

Ilhami Colak ◽

Seref Sagiroglu ◽

H. Tolga Kahraman

Keyword(s):

User Modeling ◽

Web Based ◽

Modeling Approach ◽

Educational Hypermedia

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Ontology-based User Modeling for Web-based Information Systems

Advances in Information Systems Development ◽

10.1007/978-0-387-70802-7_38 ◽

2007 ◽

pp. 457-468 ◽

Cited By ~ 7

Author(s):

Anton Andrejko ◽

Michal Barla ◽

Mária Bieliková

Keyword(s):

Information Systems ◽

User Modeling ◽

Web Based

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Novel User Modeling Approaches for Personalized Learning Environments

International Journal of Information Technology & Decision Making ◽

10.1142/s0219622016500164 ◽

2016 ◽

Vol 15 (03) ◽

pp. 575-602 ◽

Cited By ~ 2

Author(s):

H. Tolga Kahraman ◽

Seref Sagiroglu ◽

Ilhami Colak

Keyword(s):

Learning Environments ◽

User Modeling ◽

Web Applications ◽

Personalized Learning ◽

Classification Performance ◽

Knowledge Model ◽

Web Based ◽

Modeling Approaches ◽

Bee Colony ◽

User Knowledge

Modeling user knowledge and creating user profiles not only for special web-based social media but also for complex and mixed personalized learning environments are important research challenges. The key component for adaptation is the user’s knowledge model. This paper introduces fuzzy metric (FM)-based novel and efficient similarity measurement method and adaptive artificial neural network (AANN) and artificial bee colony (ABC)-based knowledge classification approaches for personalized learning environments. For this purpose, FM-based method has been developed to measure distances more efficiently among the users and their knowledge model using the web logs/session data. In addition, a novel knowledge classifier based on ABC and AANN having combined with the generic object model has been developed for user modeling strategies and user modeling server of adaptive educational electric course (AEEC). Finally, the approaches have been tested to compare the classification performance of the user modeling methods developed for user modeling task. The experimental results have shown that proposed methods have improved similarity measurements considerably and decreased the misclassifications in user modeling processes. Thus, powerful user modeling approaches have been presented to the literature. It is expected that the approaches introduced in this article can be a reference to others researches and to develop more adaptive and personalized web applications in future.

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The PBL-Evaluator: a web-based tool for assessment in tutorials

Journal of Dental Education ◽

10.1002/j.0022-0337.1998.62.9.tb03231.x ◽

1998 ◽

Vol 62 (9) ◽

pp. 671-674

Author(s):

JF Chaves ◽

JA Chaves ◽

MS Lantz

Keyword(s):

Web Based

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Using Popular Mobile Devices in Voice Therapy

Perspectives on Voice and Voice Disorders ◽

10.1044/vvd23.3.82 ◽

2013 ◽

Vol 23 (3) ◽

pp. 82-87 ◽

Cited By ~ 1

Author(s):

Eva van Leer

Keyword(s):

Exercise Behavior ◽

Voice Therapy ◽

Pure Oxygen ◽

Mobile Platforms ◽

Self Monitoring ◽

Web Based ◽

Motivational Messages ◽

Related Information ◽

Health Related ◽

Tailored Approach

Mobile tools are increasingly available to help individuals monitor their progress toward health behavior goals. Commonly known commercial products for health and fitness self-monitoring include wearable devices such as the Fitbit© and Nike + Pedometer© that work independently or in conjunction with mobile platforms (e.g., smartphones, media players) as well as web-based interfaces. These tools track and graph exercise behavior, provide motivational messages, offer health-related information, and allow users to share their accomplishments via social media. Approximately 2 million software programs or “apps” have been designed for mobile platforms (Pure Oxygen Mobile, 2013), many of which are health-related. The development of mobile health devices and applications is advancing so quickly that the Food and Drug Administration issued a Guidance statement with the purpose of defining mobile medical applications and describing a tailored approach to their regulation.

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