International Journal of Teaching and Case Studies
- Editor in Chief
- Prof. Daphne Halkias
- ISSN online
- ISSN print
- 4 issues per year
IJTCS is a multidisciplinary source for research and teaching in all higher education disciplines and in the use of case studies as a teaching/research tool. Its unique value proposition is to gather an interdisciplinary forum of international scholars representing specialisations from business, marketing, finance, management, the social sciences and computer science/information technology. IJTCS delivers case studies aimed at supporting teaching, learning and research in academic and applied professional settings and interdisciplinary papers examining curricula, knowledge bodies, certification and professional issues
Topics covered include
- Teaching, learning and research
- The case study as a teaching and research methodology
- Management science
- Political Science
- Computer science
- Information systems and technology
- Software engineering
- Curricula structure/planning/bodies of knowledge for any/all the above
- Certification and professional training issues in higher education
IJTCS aims at publishing high quality research papers, reflective studies, case studies and "lessons learned" notes on any aspect of teaching, learning and research across the disciplines as well as the role of the case study as a teaching and research methodology. Each of these areas is a focus of interest and such diversity is reflected in the structure of the editorial team and the Editorial Board, providing specialisms in different areas.
The journal's goal is to produce papers of different kinds, from classroom-based empirical studies through comparisons of pedagogic approaches across institutions or countries and of different types from the practical to the theoretical. Case studies that provide insight on proven strategies or teaching patterns are also welcomed. In addition, papers related to curriculum, knowledge bodies, certification and professional issues are also welcomed, as they reflect an additional stage of the education process as part of life-long learning.
The objectives of IJTCS are to establish an effective channel of communication between policy makers, government agencies, academic and research institutions and persons concerned with today’s teaching and research issues in higher education and across local, regional and cross-national communities. The international dimension is emphasised in order to overcome cultural and national barriers and to meet the needs of accelerating technological and innovative social issues affecting the topics' activities taking place in the global economy.
IJTCS aims to inform and provide guidance to educators at all levels on all aspects of computing and information technology.
IJTCS publishes original research papers providing significant results, and also communications innovative ideas and news, announcements and reviews regarding the topics of the journal.
IJTCS is indexed in:
- Academic OneFile (Gale)
- British Education Index (EBSCO)
- cnpLINKer (CNPIEC)
- Educational Research Abstracts Online
- Educators Reference Complete (Gale)
- Google Scholar
- ACER (Australian Council for Educational Research)
- Info Trac (Gale)
- ProQuest Advanced Technologies Database with Aerospace
- Research into Higher Education Abstracts
- Studies on Women and Gender Abstracts
IJTCS is listed in:
- Cabell's Directory of Publishing Opportunities
- Chartered Association of Business Schools (CABS) Academic Journal Guide
Editor in Chief
- Halkias, Daphne, École des Ponts ParisTech, France
- Harkiolakis, Nicholas, New England College, USA
- Caracatsanis, Sylva, Executive Coaching Consultants, Greece
- Adendorff, Christian, Powerhouse Strategies, South Africa
- Galanaki, Eleanna, Athens University of Economics and Business, Greece
- Rich, Grant J., American Psychological Association, USA
- Santora, Joseph C., Ecole de Ponts Business School, France
Editorial Board Members
- Al-Haj, Norashfah Hanim Yaakop Yahaya, University Technology of MARA, Malaysia
- Brinia, Vasiliki, Athens University of Economics and Business, Greece
- Cholacu, Anastasia, Olivet Nazarene University and Miami International University of Art and Design, USA
- Díaz García, Cristina, Universidad de Castilla La Mancha, Spain
- Emuze, Fidelis, Central University of Technology, Free State (CUT), South Africa
- Mudrey-Camino, Renee, University of Akron, USA
- Pavlikova, Eva Abramuszkinova, Mendel University, Czech Republic
- Pomykalski, James J, Susquehanna University, USA
- Santiago, Andrea L., De La Salle University, Philippines
- Vaccarino, Franco A., Massey University, New Zealand
- Vinokurova, Natalia, National Research University - Higher School of Economics, Russian Federation
- Wang, Bing, University of Hull, UK
- Watson, Crystal, Nelson Mandela Metropole University, South Africa
A few essentials for publishing in this journal
- Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.
- Conference papers may only be submitted if the paper has been completely re-written (more details available here) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.
- Briefs and research notes are not published in this journal.
- All our articles go through a double-blind review process.
- All authors must declare they have read and agreed to the content of the submitted article. A full statement of our Ethical Guidelines for Authors (PDF) is available.
- There are no charges for publishing with Inderscience, unless you require your article to be Open Access (OA). You can find more information on OA here.
- All articles for this journal must be submitted using our online submissions system.
- View Author guidelines.
Defining the unexplainable in artificial intelligence
23 June, 2023
Fabian Wahler and Michael Neubert, writing in the International Journal of Teaching and Case Studies, recognise the importance of defining and understanding AI and where it might take us, sooner, rather than later. They have homed in on a definition of explainable AI that might be used in future work by both practitioners and academics alike. The work seeks to remove the ambiguity of current definitions and to increase trust and reliability in decision making by making black-box systems understandable, interpretable, and transparent to human users [...]More details...