Developer's Handbook to Interactive Multimedia: A Practical Guide for Education Applications
Developer's Handbook to Interactive Multimedia: A Practical Guide for Education Applications
Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
Multimedia for Learning: Methods and Development
Multimedia for Learning: Methods and Development
The changing nature of instructional design for networked learning
Networked learning
Guest Editors' Introduction: Knowledge Management-An Interdisciplinary Approach
IEEE Intelligent Systems
A consumer support architecture for enhancing customer relationships
WSEAS Transactions on Information Science and Applications
An architecture for consumer support systems
SEPADS'09 Proceedings of the 8th WSEAS International Conference on Software engineering, parallel and distributed systems
An ontology-based architecture for consumer support systems
WSEAS Transactions on Information Science and Applications
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Multimedia is now a relatively mature field, having advanced over more than two decades. The combination of text, images, videos, animations, etc. in both presentational and conversational form is now a standard part of most computer applications, web-based and stand-alone alike. As such, Educational Multimedia (EMM) can be a great tool to improve teaching and learning. However, EMM selection and evaluation for higher education is a complex and interdisciplinary problem characterised by uncertainty, dynamics, explicit and implicit knowledge and constraints, and involvement of different stakeholders. In this work, we use a domain-based web oriented Group Decision Support System (GDSS) for the selection and continuous evaluation of EMM for educational providers. We investigate the viability of developing and validating a web-based GDSS, integrated with knowledge management (KM) and instructional design, as a support tool to overcome the difficulties in the selection and evaluation of EMM. The proposed solution manages and supports the six phases of planning, intelligence, design, choice, implementation, and evaluation. In addition to design and implementation, performance evaluation is also presented using data collected from experts, instructors, and EMM producers. The results reveal that the proposed solution can successfully help educational consumers in selecting and evaluating EMM.