Réka Vas

Ontology-based mobile learning and knowledge testing

The article presents the architecture of a complex, mobilised content authoring system. This approach changes the current structure of content development at Corvinus University of Budapest, serving the needs of mobile learners better by enabling context and location aware learning. Through its main components - educational ontology, content management system, adaptive testing system, mobilised learning management system - the system is also capable to tackle the challenges of communication, collaboration and content delivery regardless of time and space. Certain components were even tested by business informatics BSc students and the outcomes of this pilot are also described in detail.

Med-Assess System for Evaluating and Enhancing Nursing Job Knowledge and Performance

The European funded project Med-Assess supports assessing of work-based competences and job knowledge of nurses, indicating existing knowledge gaps, and ultimately providing recommendations for improving nursing competences. This paper presents the Med-Assess concept, and reflects the implementation results of its ontological approach for analysis and assessment of nursing job knowledge. The ontological approach matches the nursing requirements and domain specific knowledge, and provides the logic for assessment of the end-users i.e. job applicants, nurses and care-givers.

STUDIO: Ontology-Centric Knowledge-Based System

Characterizing, structuring and systematizing all the knowledge assets of an organization represents a major challenge nowadays. At the same time rapid social, economic and technological changes require organizations to act and adapt quickly. In order to be able to meet all these expectations, organizations must implement such comprehensive knowledge management solutions that enable multiple ways of using and reusing organizational knowledge. This chapter provides a complete description of how the STUDIO knowledge-based system can support organizations in applying and evaluating knowledge, in learning, in adapting changes to their own context quickly, and in translating learning into action. STUDIO is an extensible and domain independent knowledge based system that captures the relevant domain concepts and their relations by ontological entities around which a set of knowledge—and human resource management related tasks are carried out. To evaluate the proposed architecture we have applied it to the challenge of managing knowledge both in business and educational contexts.

An Ontology-Based Approach for the Semantic Representation of Job Knowledge

The essential and significant components of ones job performance, such as facts, principles, and concepts are considered as job knowledge. This paper provides a framework for forging links between the knowledge, skills, and abilities taught in vocational education and training (VET) and competence prerequisites of jobs. Specifically, the study is aimed at creating an ontology for the semantic representation of that which is taught in the VET, that which is required on the job, and how the two are related. In particular, the creation of a job knowledge (Job-Know) ontology, which represents task and knowledge domains, and the relation between these two domains is discussed. Deploying the Job-Know ontology facilitates bridging job and knowledge elements collected from various sources (such as job descriptions), the identification of knowledge shortages and the determination of mismatches between the task and the knowledge domains that, in a broader perspective, facilitate the bridging requirements of labor market and education systems.

Extending Computerized Adaptive Testing to Multiple Objectives: Envisioned on a Case from the Health Care

In the age of information, only personalized learning and education enables the adaption to always changing requirements. In health care, labor forces are especially in a continuous need of improvement and adaption. Maintaining an optimal care sets a dual goal in the education of health professionals: adapt to scientific developments while retaining the compliance with changing laws and regulations.

An innovative ontology-driven system supporting personnel selection: the OntoHR case

This paper describes the initial development of an HRM system that aims to decrease the gap between higher vocational education and the labour market for a specific job in the ICT sector. This paper focuses specifically on the delineation of a process model and the selection of a suitable job role (information system analyst) that is valid across organisational and cultural boundaries. The process model implies various applied uses of this ontology-based system, including mapping qualifications in vocational education to current and valid job roles, testing and evaluating the student applicant on the basis of labour market driven competencies, and providing ad-hoc support to educational institutions by elucidating the weaknesses of particular VET curricula.

Applying connectivism? Does the connectivity of concepts make a difference for learning and assessment?

The society is in a state where learning has no limits and starts to overlap with technological developments. The recent advent of a connectivistic learning theory promises to shed light on how we learn in environments of interconnected knowledge and how the connectivity of concepts can guide the learning and conceptualization. This paper will have a look at a domain ontology-based approach to learning and assessment and investigate if the connectivity of the stored concepts, measured by a selected set of centrality measures, can provide a prediction of the assessment performance. The analysis will be conducted on a real world application with 247 students in the field of business informatics.

E-CRIME System: A Knowledge Management Application in Public Administration

Legal security, which is an important factor of life quality, was the major subject of our research. We have concluded that legal security could be achieved by the perfection of jurisdiction, of which the three major elements are time, precision and efficiency [4]. The final goal of an appropriately working juridical system is to find equilibrium between time and precision and this way to reach maximum efficiency. This paper will discuss in details the problems of the Hungarian juridical system, particularly those, which can be solved or supported by IT tools. Our research project will be demonstrated, in which after the analysis of laws and legal studies the knowledge mapping of this domain has been realized. Based on this, an ontology has been made and an expert system has been developed. Our paper also describes how an advanced information system can improve the efficiency of the juridical processes.