Evaluating constructivistic learning
Educational Technology
Individual selection of examples in an intelligent learning environment
Journal of Artificial Intelligence in Education
Improving the usability of hypertext courseware through adaptive linking
HYPERTEXT '97 Proceedings of the eighth ACM conference on Hypertext
XML, Java, and the future of the Web
World Wide Web Journal - Special issue on XML: principles, tools, and techniques
An intelligent distributed environment for active learning
Journal on Educational Resources in Computing (JERIC)
From adaptive hypermedia to the adaptive web
Communications of the ACM - The Adaptive Web
Effectiveness of online assessment
SIGCSE '03 Proceedings of the 34th SIGCSE technical symposium on Computer science education
A Framework for Intelligent Knowledge Sequencing and Task Sequencing
ITS '92 Proceedings of the Second International Conference on Intelligent Tutoring Systems
ELM-ART: An Intelligent Tutoring System on World Wide Web
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Designing Intelligent Learning Objects
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Hi-index | 0.00 |
Distance education is experiencing a paradigm shift, because of the change from industrial era to information era. It is now possible for courseware to be delivered online, in a very efficient yet appealing manner. To that end, it becomes imperative to address a number of pedagogical issues that crop up in the design of a dynamic web-based system for the delivery of courseware. In order to have an effective Learning Management System (LMS), it should enhance the advantages and at the same time alleviate the issues that exist in traditional learning environments. The primary issue related to traditional learning is that the learning process involved is serial and static. All the students of a class are presented with the same material and same assessment approaches, even though the knowledge and understanding of any individual student is different from that of others. Hence every student's progress needs to be monitored and they should be provided with tailored course content and assessments. The best way to do this is to get constant feedback on the performance and learning style of the student, via student status monitoring. Quizzes and click statistics act as good pointers in displaying the performance of a student. The Student Status Monitoring tool (SSM) was developed using these components and presents the student with tailored content, depending on his pre-requisite knowledge and his interest. This approach makes the learning parallel ("Choose your own adventure"), and also reduces the redundancies that exist in traditional environments.