Open Universiteit

Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/8456
Title: Semantic Boggle: A Game for Vocabulary Acquisition
Authors: Toma, Irina
Alexandru, Cristina-Elena
Dascalu, Mihai
Dessus, Philippe
Trausan-Matu, Stefan
Keywords: Serious games
Vocabulary acquisition
Semantic games
Wordguessing
Boggle
Language learning
Issue Date: Oct-2017
Publisher: Springer
Citation: Toma, I., Alexandru, C.-E., Dascalu, M., Dessus, P., & Trausan-Matu, S. (2017). Semantic Boggle: A Game for Vocabulary Acquisition. In E. Lavoué, H. Drachsler, K. Verbert, J. Broisin & M. Pérez-Sanagustín (Eds.), 12th European Conference on Technology Enhanced Learning (EC-TEL 2017) (pp. 606–609). Tallinn, Estonia: Springer.
Abstract: Learning a new language is a difficult endeavor, the main encountered problem being vocabulary acquisition. The learning process can be improved through visual representations of coherent contexts, best represented in serious games. The game described in this paper, Semantic Boggle, is a serious game that exercises vocabulary. It is based on the traditional word-guessing game, but it brings educational value by identifying semantically-related words. The words are found using the ReaderBench framework and are placed in the game grid using a greedy algorithm. The assigned score is computed as the semantic similarity value multiplied by the normalized length of the seed. Our preliminary validation consisted of 20 users, who emphasized its interest and playability.
URI: http://hdl.handle.net/1820/8456
Appears in Collections:1. RAGE Publications

Files in This Item:
File Description SizeFormat 
10.1007@978-3-319-66610-573.pdf273.46 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons