Abstract
Serendipity, the process of making fortunate discoveries for which someone was not looking for, can play a crucial role in leveraging creativity in learning [1]. Serendipity enables creative connections to develop while it can have a role in revealing hidden connections or “hidden analogies”, especially in a social context such as in most learning processes [2]. The results of a chance encounter can result in new ideas relevant to the learner’s previous knowledge [3]. In previous work, we have reviewed the related literature and identified five enabling factors for serendipity [4]: diversity, unexpectedness or novelty, personalization, visualization, and social interaction. The aim of this paper is to construct an architectural framework based on the aforementioned factors that can be used as a guide in the development of information seeking systems aiming to leverage serendipity in learning.
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Taramigkou, M., Bothos, E., Apostolou, D., Mentzas, G.: Serendipity in Online Information Systems. In: Proceedings of the 2013 IEEE International Technology Management Conference & 19th ICE Conference, June 24-26. The Hague (2013)
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Taramigkou, M., Paraskevopoulos, F., Bothos, E., Apostolou, D., Mentzas, G. (2013). Designing Computational Systems for Serendipity in Learning. In: Hernández-Leo, D., Ley, T., Klamma, R., Harrer, A. (eds) Scaling up Learning for Sustained Impact. EC-TEL 2013. Lecture Notes in Computer Science, vol 8095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40814-4_90
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DOI: https://doi.org/10.1007/978-3-642-40814-4_90
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40813-7
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