Semantic Boggle: A Game for Vocabulary Acquisition

Irina Toma; Christina-Elena Alexandru; Mihai Dascalu; Philippe Dessus; Stefan Trausan-Matu

doi:10.1007/978-3-319-66610-5_73

Semantic Boggle: A Game for Vocabulary Acquisition

Irina Toma, Christina-Elena Alexandru, Mihai Dascalu, Philippe Dessus, Stefan Trausan-Matu

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

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.

Original language	English
Title of host publication	Data Driven Approaches in Digital Education.
Subtitle of host publication	12th European Conference on Technology Enhanced Learning (EC-TEL 2017)
Editors	É. Lavoué , H. Drachsler, K. Verbert, J. Broisin, M. Pérez-Sanagustín
Publisher	Springer
Pages	606-609
Number of pages	4
Volume	10474
ISBN (Electronic)	978-3-319-66610-5
ISBN (Print)	978-3-319-66609-9
DOIs	https://doi.org/10.1007/978-3-319-66610-5_73
Publication status	Published - Oct 2017
Externally published	Yes
Event	12th European Conference on Technology Enhanced Learning: Data Driven Approaches in Digital Education - Tallinn, Estonia Duration: 12 Sept 2017 → 15 Sept 2017 http://ectel2017.httc.de/index.php?id=777

Publication series

Series	Lecture Notes in Computer Science LNCS
Volume	10474

Conference

Conference	12th European Conference on Technology Enhanced Learning
Abbreviated title	EC-TEL 2017
Country/Territory	Estonia
City	Tallinn
Period	12/09/17 → 15/09/17
Internet address	http://ectel2017.httc.de/index.php?id=777

Keywords

Serious games
Vocabulary acquisition
Semantic games
Wordguessing
Boggle
Language learning

Access to Document

10.1007/978-3-319-66610-5_73Licence: CC BY-NC-ND

Rage: Realising an Applied Gaming Eco-system
Westera, W. (PI), Georgiadis, K. (CoI), Saveski, G. (CoI), van Lankveld, G. (CoI), Bahreini, K. (CoI), van der Vegt, W. (CoI), Berkhout, J. (CoI), Nyamsuren, E. (CoI), Kluijfhout, E. (CoI) & Nadolski, R. (CoI)
European Union
1/02/15 → 31/07/19
Project: Research

Cite this

Toma, I., Alexandru, C.-E., Dascalu, M., Dessus, P., & Trausan-Matu, S. (2017). Semantic Boggle: A Game for Vocabulary Acquisition. In É. Lavoué , H. Drachsler, K. Verbert, J. Broisin, & M. Pérez-Sanagustín (Eds.), Data Driven Approaches in Digital Education. : 12th European Conference on Technology Enhanced Learning (EC-TEL 2017) (Vol. 10474, pp. 606-609). Springer. https://doi.org/10.1007/978-3-319-66610-5_73

Toma, Irina ; Alexandru, Christina-Elena ; Dascalu, Mihai et al. / Semantic Boggle: A Game for Vocabulary Acquisition. Data Driven Approaches in Digital Education. : 12th European Conference on Technology Enhanced Learning (EC-TEL 2017) . editor / É. Lavoué ; H. Drachsler ; K. Verbert ; J. Broisin ; M. Pérez-Sanagustín. Vol. 10474 Springer, 2017. pp. 606-609 (Lecture Notes in Computer Science LNCS, Vol. 10474).

@inproceedings{0c5156c47546449e97952f921248fc96,

title = "Semantic Boggle: A Game for Vocabulary Acquisition",

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.",

keywords = "Serious games, Vocabulary acquisition, Semantic games, Wordguessing, Boggle, Language learning",

author = "Irina Toma and Christina-Elena Alexandru and Mihai Dascalu and Philippe Dessus and Stefan Trausan-Matu",

year = "2017",

month = oct,

doi = "10.1007/978-3-319-66610-5_73",

language = "English",

isbn = "978-3-319-66609-9",

volume = "10474",

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booktitle = "Data Driven Approaches in Digital Education.",

note = "12th European Conference on Technology Enhanced Learning : Data Driven Approaches in Digital Education, EC-TEL 2017 ; Conference date: 12-09-2017 Through 15-09-2017",

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Toma, I, Alexandru, C-E, Dascalu, M, Dessus, P & Trausan-Matu, S 2017, Semantic Boggle: A Game for Vocabulary Acquisition. in É Lavoué , H Drachsler, K Verbert, J Broisin & M Pérez-Sanagustín (eds), Data Driven Approaches in Digital Education. : 12th European Conference on Technology Enhanced Learning (EC-TEL 2017) . vol. 10474, Springer, Lecture Notes in Computer Science LNCS, vol. 10474, pp. 606-609, 12th European Conference on Technology Enhanced Learning, Tallinn, Estonia, 12/09/17. https://doi.org/10.1007/978-3-319-66610-5_73

Semantic Boggle: A Game for Vocabulary Acquisition. / Toma, Irina; Alexandru, Christina-Elena; Dascalu, Mihai et al.
Data Driven Approaches in Digital Education. : 12th European Conference on Technology Enhanced Learning (EC-TEL 2017) . ed. / É. Lavoué ; H. Drachsler; K. Verbert; J. Broisin; M. Pérez-Sanagustín. Vol. 10474 Springer, 2017. p. 606-609 (Lecture Notes in Computer Science LNCS, Vol. 10474).

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

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AB - 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.

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Toma I, Alexandru CE, Dascalu M, Dessus P, Trausan-Matu S. Semantic Boggle: A Game for Vocabulary Acquisition. In Lavoué É, Drachsler H, Verbert K, Broisin J, Pérez-Sanagustín M, editors, Data Driven Approaches in Digital Education. : 12th European Conference on Technology Enhanced Learning (EC-TEL 2017) . Vol. 10474. Springer. 2017. p. 606-609. (Lecture Notes in Computer Science LNCS, Vol. 10474). doi: 10.1007/978-3-319-66610-5_73

Semantic Boggle: A Game for Vocabulary Acquisition

Abstract

Publication series

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Keywords

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