An Ontological Approach to Online Instructional Design

Abstract

This chapter introduces the ontological instructional design as an alternative to the traditional instructional design in teaching and learning. By comparing the differences between traditional instructional design and e-Learning, the authors suggest that instructional design in e-Learning require a different model than the existing traditional models due to the idiosyncratic nature of e-Learning in terms of population, environment, and resources. An ontological instructional design model is proposed with a focus on the sharability, reusability and interoperability of ontological entities and design components within the ontological entities, which provides a holistic approach to online instructional design compared to the segmented, linear design approach in traditional instructional design models. A case study is included to illustrate the use and application of the ontological instructional design model in an online business course. Finally, guidelines for implementing the model are made with suggestions for future research.

Agent-mediated Knowledge Recovery: The Case of Turnover-induced Knowledge Loss in a Knowledge-intensive Institution

“…Knowledge repository is said to be commonly used to store and manage explicit knowledge from knowledge worker (Fitriasari et al, 2021), as it is a computerised system that maintains various digital resources to be accessed by the users electronically (Zamani & Izhar, 2018). On the other hand, knowledge repository is also referred to as a wide range of knowledge domains across various subject areas, not limited to only computing and business processes within a company (Zheng & Dahl, 2010). What makes knowledge repository different than other knowledge storages is the way the domains deposited in the repository are connected by semantic rules, accessible through domain identifiers and classes (Zheng & Dahl, 2010).…”

“…On the other hand, knowledge repository is also referred to as a wide range of knowledge domains across various subject areas, not limited to only computing and business processes within a company (Zheng & Dahl, 2010). What makes knowledge repository different than other knowledge storages is the way the domains deposited in the repository are connected by semantic rules, accessible through domain identifiers and classes (Zheng & Dahl, 2010). The key design components for knowledge repository are the goal analysis, task analysis, user characteristics, and other components that are identified as significant to the needs to discover and recover the knowledge within it.…”