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• TALENT SEARCH AND DEVELOPMENT PROGRAMS IN THE EDUCATIONAL INSTITUTIONS OF THE HUNGARIAN REFORMED CHURCH

  89-96

  Tibor Ábrám

  Ferenc Sarka

  Views:

  105

  The talent Strategy of the Reformed Church of Hungary was made by TÁMOP-3.1.17-15-2015-0004 project, which was jointly financed by the European Social Fund and the Hungarian State. In this study, we outline the details of this strategy.

• LESSONS OF A RESEARCH PRIOR TO WORKING OUT A TALENT DEVELOPMENT STRATEGY

  81-96

  Tibor Ábrám

  Ferenc Sarka

  Views:

  122

  This study summarizes the results of a survey, what was done for planning the Talent Development Strategy of the Reformed Church of Hungary in the frame of the TÁMOP-3.1.17-15-0004 project.

• CORPORATE TALENT STRATEGY

  19-34

  Ferenc Mező

  Views:

  147

  This paper summarizes the key problems and opportunities of the corporate talent strategy. The corporate talent strategy can be a part of the Corporate Social Responsibility (CSR) and/or the Human Resource Management, and it can be profitable, and it can determine the future of an organization, too.

• INTERPRETATIONAL POSSIBILITIES OF M-LEARNING WITH THE HELP OF THE IPOO MODEL

  37-43

  Robert Nagy

  Views:

  110

  Technological changes have created a high level of internet penetration and also the access to information that is less limited nowadays compared to earlier times, through the possession of portable online devices. These changes make it necessary to think about the process of teaching and learning, as well as the content, the means, and methods of it. In this paper review not only the features of the online learning environment created by the processes mentioned above but also its possible role in understanding learning as an information processing procedure. The focus of research is the analysis of the m-learning IPOO-model.

• ACCESSIBLE TOURISM SERVICES IN THE NORTH GREAT PLAIN REGION

  77-81

  András Tatár

  Andrea Lenténé Puskás

  Melinda Biró

  József Márton Pucsok

  Péter Hidvégi

  Views:

  150

  In the ever-increasing competition between the tourist destinations, the rethinking of the primary and secondary attraction factors (Bácsné et. al., 2018), their re-planning, supplementation, and development are indispensable. This is also true for Hungary and the Northern Great Plain region, where the availability of therapeutic and thermal water is a priority factor (Müller & Könyves, 2006; Müller & Kórik 2009; Michalkó & Rácz 2011;  Löwei 2017). The further development towards accessible tourism, even for a long-standing, well-established destination in health tourism is to be considered, in order service providers not only could strengthen their existing position but also open up to new markets and consumer groups (Mosonyi et. al. 2013, Lengyel 2015).  The understanding and implementation of strategies for new consumer groups include the product and service evaluation based on individual leisure constraints.

• Abduction in the Assessment of Special Educational Needs - Learning Disability

  31-44

  Gergő Vida

  Kálmán Sántha

  Views:

  91

  The diagnostic categories used to define learning disability are not standardized, and categorization systems are vague. This study aimed to explore the diagnostic methodology and strategies used to identify learning disabilities. The aim is to identify abductions in diagnostics in the field of special education. Interpreting diagnostics in remedial education using abduction can help identify learning disabilities more accurately. In the previous research phase, we conducted a meta-analysis of 11 expert reviews to identify abduction using fuzzy logic, fsQCA, and Boolean algebra. This study allowed for the creation of a new abductive diagnostic model. Based on these results, the reliability of the diagnostic process can be increased, and the diagnostic model can be used to detect learning disabilities or other types of problems and to identify sufficient conditions underlying a given phenomenon. Neither qualitative content analysis nor fsQCA revealed a relationship between all variables at a sufficient depth. Thus, in the present study, we moved on to Bayesian meshes, which shift and attempt to reorder previously identified variables based on conditional probability. We hypothesized that the Bayesian mesh and abduction application together may already be an efficient tool, which also anticipates the possibility of automation.