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 proceedingConference article in proceedingAcademicpeer-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 languageEnglish
Title of host publicationData Driven Approaches in Digital Education.
Subtitle of host publication12th European Conference on Technology Enhanced Learning (EC-TEL 2017)
EditorsÉ. Lavoué , H. Drachsler, K. Verbert, J. Broisin, M. Pérez-Sanagustín
PublisherSpringer
Pages606-609
Number of pages4
Volume10474
ISBN (Electronic)978-3-319-66610-5
ISBN (Print)978-3-319-66609-9
DOIs
Publication statusPublished - Oct 2017
Externally publishedYes
EventData Driven Approaches in Digital Education: 12th European Conference on Technology Enhanced Learning: EC-TEL - Tallinn, Estonia
Duration: 12 Sep 201715 Sep 2017
http://ectel2017.httc.de/index.php?id=777

Publication series

NameLecture Notes in Computer Science LNCS
PublisherSpringer
Volume10474

Conference

ConferenceData Driven Approaches in Digital Education
CountryEstonia
CityTallinn
Period12/09/1715/09/17
Internet address

Fingerprint

Semantics
Seed
Serious games

Keywords

  • Serious games
  • Vocabulary acquisition
  • Semantic games
  • Wordguessing
  • Boggle
  • Language learning

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). (Lecture Notes in Computer Science LNCS; Vol. 10474). Springer. https://doi.org/10.1007/978-3-319-66610-5_73
Toma, Irina ; Alexandru, Christina-Elena ; Dascalu, Mihai ; Dessus, Philippe ; Trausan-Matu, Stefan. / 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).
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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.",
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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, Lecture Notes in Computer Science LNCS, vol. 10474, Springer, pp. 606-609, Data Driven Approaches in Digital Education, 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; Dessus, Philippe; Trausan-Matu, Stefan.

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 proceedingConference article in proceedingAcademicpeer-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 C-E, 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). https://doi.org/10.1007/978-3-319-66610-5_73