A web-based collaborative enabled multimedia content authoring and management system for interactive and personalized online learning

Cheong, Soon Nyean; Kam, H.S.; Azhar, Khairul; Hanmandlu, M.

doi:10.1109/cie.2002.1186100

Cited by 2 publications

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The engine can create a tree that includes all possible paths starting from the learner's possessed knowledge towards desired knowledge. For organising and composing course notes, Cheong et al (2002) web-based collaborative multimedia content authoring and management system. Quarati (2003) combined reusable techniques with recommendation techniques to realise content best fitting for the needs of different students.…”

Section: E-learningmentioning

confidence: 99%

Personalisation in web computing and informatics: Theories, techniques, applications, and future research

2009

View full text Add to dashboard Cite

Recently, personalised search engines and recommendation systems have been widely adopted by users who require assistance in searching, classifying, and filtering information. This paper presents an overview of the field of personalisation systems and describes current state-of-the-art methods and techniques. It reviews approaches for (1) user profiling, including behaviour, preference, and intention modelling; (2) content modelling, comprising content representation, analysis, and classification; and (3) filtering methods for recommendation, classified into four main categories: rule-based, contentbased, collaborative, and hybrid filtering. The paper also discusses personalisation systems in different domains, and various techniques and their limitations. Finally, it identifies several issues and possible directions for further research that can improve recommendation capabilities and enhance personalised systems.

show abstract

Section: E-learningmentioning

confidence: 99%

Personalisation in web computing and informatics: Theories, techniques, applications, and future research

2009

View full text Add to dashboard Cite

show abstract

“…Personalization in e-learning Cheong et al (2002) describe the design and implementation of a web-based collaborative enabled multimedia content authoring and management system for organizing, integrating and composing personalized and interactive course notes for online education. Dahn and Schwabe (2002) describe offering personalized electronic textbooks for learners where books are split into slices and the logical relationship between them made explicit, e.g.…”

Section: Personalization Using Artificial Intelligencementioning

confidence: 99%

A selective review of research in content personalization

Jeevan

Padhi²

2006

Library Review

View full text Add to dashboard Cite

Purpose -To provide a selective bibliography in the emerging area of library content personalization for the benefit of library and information professionals. Design/methodology/approach -A range of recently published works (in the period 1993-2004), which aim to provide pragmatic application of content personalization rather than theoretical works, are discussed and sorted into ''classified'' sections to help library professionals understand more about the various options for formulating content as per the specific needs of their clientele. Findings -This paper provides information about each category of tool and technique of personalization, indicating what is achieved and how particular developments can help other libraries or professionals. It recognises that personalization of library resources is a viable way of helping users deal with the information explosion, conserving their time for more productive intellectual tasks. It identifies how computer and information technology has enabled document mapping to be more efficient, especially because of the ease with which a document can be indexed and represented with multiple terms, and confirms that this same functionality can be used to represent a user's interests, facilitating the easy linking of relevant sources to prospective users. Personalization of library resources is an effective way for maximizing user benefit. Research limitations/implications -This is not an exhaustive list of developments in personalization. Rather it identifies a mix of products and solutions that are of immediate use to librarians. Practical implications -A very useful source of pragmatic applications of personalization so far, that can guide a practicing professional interested in creating similar solutions for more productive information support in his/her library. Originality/value -This paper fulfils an identified need for a ''review of technology'' for LIS practitioners and offers practical help to any professional exploring solutions similar to those outlined in this paper.

show abstract

A web-based collaborative enabled multimedia content authoring and management system for interactive and personalized online learning

Cited by 2 publications

References 1 publication

Personalisation in web computing and informatics: Theories, techniques, applications, and future research

Personalisation in web computing and informatics: Theories, techniques, applications, and future research

A selective review of research in content personalization

Contact Info

Product

Resources

About