Ontology-based recommender system for a learning sequence in programming languages

The same learning process in educational systems could be boring and time consuming for some learners. This problem arises from the lack of personalized learning sequence for learners with different knowledge level. Recommender systems play an important role in assisting the learners to find suitable learning materials and personalized learning sequence. Use of ontology for knowledge representation in knowledge-based recommender systems would facilitate sharing, reuse and common terminology. Since programming concepts have logical relationships among together so, traditional education systems are more stressful and very time-consuming. This paper aims to propose an ontology-based recommender system to present a Personalized Learning Sequence in Programming (PLSP) domain which is depended to learner's knowledge level. A recommender module and, the knowledge base module are integrated together in the proposed framework. The recommender module as the main module in the framework, has three stages which is working based on semantic rules and ontology representation. Evaluation of the system was carried out by comparing the non-recommender system (web-based search) using 32 ICT respondents. Results demonstrate that the participants who used the proposed system spent 1119 seconds to find the suitable learning path in comparison to those who used a non-recommender system (3480 seconds) in the same learning material. It means that learners who follow learning path with PLSP, are more suitable for them. Furthermore, the average mean value of usability test is 4.47, (5 maximum scale) which indicates that the system proved to be useful, was easy to use, and satisfied the users

Developing COVID-19 web and mobile web situation reporting applications for the state health authority

If Malaysia ends up entering the subsequent COVID-19 outbreak, many hospitals will no longer support the victims conveniently. There will be numerous victims around, and these hospitals will not have enough human resources. Exceptional ICT-based communication backbone should also be in place to fully recommend these hospitals day-to-day operations. For this reason, COVID-19 situational reporting web and mobile web applications were developed to assist the health professionals in the State of Sabah in doing their job with a high level of assurance. Several real-time technologies were put together as the foundation in developing these applications. This work-in-progress paper presents the design and development techniques employed in rapidly developing the COVID-19 situational reporting web and mobile web applications for State Health Authority of Sabah

Dissecting user requirements in developing information systems for the government agencies in less-developed region

Deciding on the need requirements of the users is one of the most challenging, and yet essential parts of the development of an information system (IS), particularly in the government agencies. Despite the rising significance of IS in the government agencies, only a limited effort has been made to identify the consequence of user needs, particularly less-developed regions. Most research efforts are found in developed or developing nations. This article presents the initial findings of an IS user needs of a leading government agency in the State of Sabah, Borneo