Authors:
Leonidas Anthopoulos
1
;
Vasilis Gerogiannis
1
;
Panos Fitsilis
1
and
Achilles Kameas
2
Affiliations:
1
Technological Educational Institute (TEI) of Larissa, Greece
;
2
Hellenic Open University, Greece
Keyword(s):
Domain Application, Information Systems Support Learning, Diplomats, Profiling, Vocational Training, Immersive, Adaptive, Virtual Learning Environments.
Related
Ontology
Subjects/Areas/Topics:
Collaborative Learning
;
Computer-Supported Education
;
Domain Applications and Case Studies
;
e-Learning
;
Immersive Learning
;
Information Technologies Supporting Learning
;
Interdisciplinary Programs for Distance Education
;
Learning/Teaching Methodologies and Assessment
;
Lifelong Learning: Continuing Professional Training & Development
;
Social Context and Learning Environments
;
Virtual Learning Environments
Abstract:
The aim of the proposed position paper is to identify an information system that can support the lifelong training of various types of demanding learners who have to transact and to do business with “unknown” people, in unfamiliar environments. Three types of learners are chosen as potential groups that comply with these characteristics: a) diplomatic staff, b) security staff and c) business experts (who work for multilateral companies). An environment that will provide engaging and motivating educational experiences to these learner targets is useful for these target groups, since it (a) utilizes a rich knowledge base of appropriately coded experience in negotiation methods, crisis management, decision making and legal affairs, (b) employs immersive interfaces to provide trainees with a first person learning experience, (c) takes into account the personal profile and background of each trainee in order to achieve deep learning, (d) is based on the pedagogical principles of socio-con
structivist theories to achieve long-time knowledge retention, (e) incorporates methods of information retrieval for automatic profile extraction and (g) utilizes social networking analysis for automatic team creation. The presented system can be built by exploiting recent relevant research on knowledge representation, learner modelling, adaptive hypermedia systems, immersive applications, text mining and automatic profile extraction, and social networking technology.
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