Towards an Adaptive Web Training Environment Based on Cognitive Style of Learning: An Empirical Approach

Souto, Maria Aparecida M.; Verdin, Regina; Wainer, Ricardo; Madeira, Milton J.P.; Warpechowski, Mariúsa; Beschoren, Karine; Zanella, Renata; Correa, Juarez Sagebin; Vicari, Rosa María; Oliveira, José Palazzo M. de

doi:10.1007/3-540-47952-x_35

Cited by 6 publications

(5 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The cognitive data models the user characteristics that represent the type of cognition the student possesses. These characteristics can be inferred from cognitive tests as the Ross and Witkin tests (Souto, 2003). They attempted to formalize the types of information processing and reasoning based on the usage of students.…”

Section: Static Modelmentioning

confidence: 99%

Enterprise Content Management System for IT Training

Chiu

Tang

Chan

et al. 2016

International Journal of Systems and Service-Oriented Engineering

View full text Add to dashboard Cite

Information Technology (IT) training is undergoing rapid changes around the world, creating inter-institutional partnerships between IT training centers as well as software and hardware vendors to promote new products and training to users. Online training has resulted in an increasing enrolment of a wider spectrum of learners with more diverse technical skills and needs that must be served. Enterprise content management (ECM) enables IT training centers to deliver education beyond company walls, supporting a range of tools to improve information dissemination, communication, and creating collaborative virtual classrooms. In this article, the authors propose a learning platform with both Web 2.0 and mobile interfaces that supports IT training for nourishing busy workers with the latest IT technology knowledge and skills. Alerts are used as a mechanism to facilitate communications among students, instructors, and administrators. It also reminds students to keep track on their learning progress. The content flow management (such as content editing, content approval, use of content, perform training exercise, practical tests, and examination) as well as external access control for the Web portal can be easily controlled through the e-platform. Besides, the authors also demonstrated how to systematically specify document classifications and tagging of training materials by using the modular design of an integrated IT Training Enterprise Content Management System (ITTECMS) together with ontologies from the Semantic Web. Watermarking technology will be deployed for further protection of the training materials, both online and offline. It also allows the flexibility to create match-making of training content according to user interests. Not only users can retrieve matched contents effectively, vendors can also obtain multi-dimensional analysis of user problems and comments to form a comprehensive knowledgebase and achieve cross-sale of education products to target customers.

show abstract

Section: Static Modelmentioning

confidence: 99%

Enterprise Content Management System for IT Training

Chiu

Tang

Chan

et al. 2016

International Journal of Systems and Service-Oriented Engineering

View full text Add to dashboard Cite

show abstract

“…FROM AN E-LEARNING TO AN U-LEARNING ENVIRONMENT In Figure 2, the central class st:Student has properties that characterize the student profile. The property st:has LearningStyle indicates the student's cognitive learning style (Souto et al, 2002). The property st:hasLearningGoal refers to an element of awo:Course, containing customized discipline content for goals of a specific group of students.…”

Section: Student Modelmentioning

confidence: 99%

From an E-Learning to an U-Learning Environment

2010

Proceedings of the 2nd International Conference on Computer Supported Education

View full text Add to dashboard Cite

AdaptWeb ® is an e-learning environment designed to offer personalized content to different groups of students according to student's models that are mainly based on personal information. This paper shows how the platform is modified to support ubiquitous learning, managing mobility, social interaction, device independence, and context awareness in a broader and richer notion of the student's context. The paper presents the architecture and its implementation by three different kinds of data servers, working together for modeling the situations experienced by the students, storing their profiles and contexts, and maintaining corresponding learning objects.

show abstract

“…On the one hand, research was done concerning the different Cognitive Styles of Learning (CSL) students may have, which were described in [5] [6]. Based on those CSL, a GUI interface was developed to enable the student himself to categorize his CSL, set his learning goals and characteristics of his work environment and the kind of course he wants to take.…”

Section: General Viewmentioning

confidence: 99%

“…The student model graphically depicted in figure 4 consists of the central class st:Student with properties characterizing the student profile. The property st:has LearningStyle indicates the student's cognitive style of learning (CSL) [5] [6]. The property st:hasLearningGoal points to an element of awo:Course which customizes a discipline content directed to the background and objectives of a specific group of students, as defined in the Domain Knowledge ontology.…”

Section: Metadata Generationmentioning

confidence: 99%

Adaptive Web-Based Courseware Development Using Metadata Standards and Ontologies

Muñoz

Oliveira

2004

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

View full text Add to dashboard Cite

Abstract. Nowadays, the web enormously facilitates the information distribution and communication among teachers and students setting the stage for the development of Web-based courseware. In this context, adaptability is a key feature in order to obtain educational environments capable of giving the adequate instruction for the specific learning profile of each individual learner. Using the Web as the ubiquitous repository of educative content, standards for metadata to describe resources on the e-learning domain must be used in order to enable interoperability and reuse of learning content. To enable intelligent behavior in building complex learning objects "on demand" customized for an intended audience, ontologies can be used to represent the knowledge the system has on the domain to be taught and on the student profile. This paper briefly describes the main steps taken in developing an Adaptive Web Training Environment, delving into the definition of a new application profile of the Learning Object Metadata (LOM) standard and the Domain and Student Knowledge Models design and implementation as Web ontologies.

show abstract

Towards an Adaptive Web Training Environment Based on Cognitive Style of Learning: An Empirical Approach

Cited by 6 publications

References 2 publications

Enterprise Content Management System for IT Training

Enterprise Content Management System for IT Training

From an E-Learning to an U-Learning Environment

Adaptive Web-Based Courseware Development Using Metadata Standards and Ontologies

Contact Info

Product

Resources

About