Mechanism for Learning Object retrieval supporting adaptivity

TL;DR

This paper proposes a framework for adaptive retrieval of Learning Objects, combining educational content organization with object-oriented principles to enhance digital library resource management.

Contribution

It introduces a novel adaptive mechanism framework for retrieving Learning Objects using object-oriented concepts to improve digital library operations.

Findings

Framework facilitates efficient retrieval of Learning Objects.

Enhances adaptability in digital resource management.

Leverages object-oriented principles for resource organization.

Abstract

In today\^as world designing adaptable course material requires new technical knowledge which involves a need for a uniform protocol that allows organizing resources with emphasis on quality and Learning. This can be achieved by bundling the resources in a known and prescribed fashion called Learning objects. Learning Objects are composed of two aspects namely "Learning" and "Object". The Learning aspect of Learning objects refers to Education. Since Education is a process so the primary aim of learning objects tends to be facilitating acquisition, assessment and conversion of content into Learning objects while fostering the assimilation of these Learning objects into learning modules and instruction. The Object part of Learning objects relates to the Digital Electronic format of the resources i.e. to say that it deals with the physical resource that forms the Learning objects. The objects in LOs are analogous to objects used in object-oriented modeling (OOM). The analogy helps visualize how LOs will be packaged, processed and transported across the digital library as well as utilized in course building. OOM concepts such as encapsulation, classification, polymorphism, inheritance and reuse can be borrowed to describe the operations on LOs in the digital library. Thus, the aim of this paper is threefolds. Firstly, to discuss the background of this research and the concept of Learning Objects. Secondly, to provide a framework for adaptive mechanism for the retrieval of Learning Objects and thirdly to highlight the benefits that this new proposed framework shall bring.