Beneficial Learning Observation of a Virtual Museum for Ancient History
DOI:
https://doi.org/10.55630/dipp.2020.10.8Keywords:
Ancient History; Learning Experience; Personalization; Virtual MuseumAbstract
For a long time, cultural heritage has been preserved in archiving institutions such as museums, libraries, galleries, and restoration laboratories, resulting in access and review limitations. Digital technologies are introducing new solutions for documentation, maintenance and distribution of this valuable treasure. Among these new technologies are virtual museums, which have already proven their worth as a contemporary solution for attractive presentation of cultural archives. This article aims to present an innovative virtual museum, managing diverse collections of digital objects, organized in various ways by a complex specialized functionality. We focus on tools for improved content observation and enhanced learning experience, giving new solutions for effective use of virtual museum content for learning purposes.References
Arapi, P., Moumoutzis, N., Mylonakis, M., Stylianakis, G., Theodorakis, G., & Christodoulakis, S. (2008). Design, implementation and experimental evaluation of a pedagogy-driven framework to support personalised learning experiences. 2th LOGOS Workshop “Cross-Media and Personalised Learning Applications with Intelligent Content” in conj. with AIMSA2008 Conference , 7-25.
Bogdanova, G., Todorov, T., Noev, N. (2019), Digital Cultural Heritage APIs. Digital Presentation and Preservation of Cultural and Scientific Heritage. Vol. 9 , Sofia, Bulgaria: Institute of Mathematics and Informatics – BAS, 2019, pp. 231-236, ISSN 1314-4006 (Print), eISSN 2535-0366 (Online).
Callan, J., Smeaton, A., Beaulieu, M., Borlund, P., Brusilovsky, P., Chalmers, M., . . . Toms, E. (2003). Personalisation and recommender systems in digital libraries.
Cronbach, L., & Snow, R. 1997. Aptitudes and instructional methods: A handbook for research on interactions. New York: Irvington Publishers. n.d. Centre-Student-Development. Retrieved October 20, (2019), from https://www.uwo.ca/sdc/learning/selfhelp/ skill_building_handouts/PDFs/Memory%20and%20Thinking%20Skills/Learning%20Styles.pdf
Paneva, D. (2006). Ontology-based student modeling. Fourth CHIRON Open Workshop “Ubiquitous Learning Challenges: Design, Experiments and Context Aware Ubiquitous Learning” , 17-21.
Paneva-Marinova, D., & Pavlov, R. (2018). Improving Learner Experience within Educational Nooks in Digital Libraries. In I. Bouchrika, N. Harrati, & P. Vu, Learner Experience and Usability in Online Education. Hershey, PA, USA: IGI Global, 174- 193.
Paneva-Marinova, D., Stoikov, J., Goynov, M., Luchev, D., Pavlov, R., & Pavlova, L. (2019). Intelligent Data Curation in Virtual Museum for Ancient History and Civilization. Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol. 9, Sofia: Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, 131-144.
Paneva-Marinova, D., Stoikov, J., Pavlova, L., & Luchev, D. (2019). System Architecture and Intelligent Data Curation of Virtual Museum for Ancient History. SPIIRAS Proceedings, 18 (2), 444-470. doi:10.15622/sp.18.2.444-470
Pavlov, R., Paneva, D., Moumoutzis, N., Arapi, P., Ovcin, E., Morrone, G., & Markus, Z. (2007). Analysis of innovative learning services in Web, interactive TV and mobile applications for non-formal settings. Sofia, Bulgaria: Demetra Ltd.
Wagner, E. (2002). Steps to creating a content strategy for your organization. The eLearning developers’ journal , 1-9.
