Abstract:
In recent years, teaching-learning methods have emerged into a completely new dimension from what used to be a traditional approach. The in-person lectures have been converted into online virtual learning, the traditional record-keeping has been replaced by robust learning management systems which have made the teaching-learning process a lot more efficient and convenient. However, the increased use of digital storage and access to students' personal information raises concerns about data privacy and security for both LET (Learning, Education, and Training) users and providers. The lack of knowledge of the users about their rights and privacy leading to the lack of practice has resulted in illegal processing and piracy of personal information. Thus, this study focuses on modeling the ISO/IEC 29187-1:2013 standard which has been developed to support modeling generic international requirements for identifying and providing privacy protection of personal information throughout any kind of Information and Communication Technology(ICT)-based learning transaction where the individual has the role of an individual learner. This standard consists of the definition of key ISO concepts and rules that are used to govern the learning transaction involving LET users and providers. This article proposes an ontology framework as a knowledge framework for a compliance assessment service. Furthermore, the study elaborates on the initial implementation of the proposed ontology to establish APIs to create a compliance question-answering system related to LET using a faceted search for the stakeholders of LET. Through the ontology modeling of the ISO/IEC 29187-1 standard version 2, this study provides a clear path toward innovation, enabling the creation of complex validation systems with the introduction of several semantic web-based rules and axioms which not only enhance the standardization process but also serve as a platform for future developments and improvements.
