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


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
Number of pages4
ISBN (Electronic)978-3-319-66610-5
ISBN (Print)978-3-319-66609-9
Publication statusPublished - Oct 2017
Externally publishedYes
Event12th European Conference on Technology Enhanced Learning: Data Driven Approaches in Digital Education - Tallinn, Estonia
Duration: 12 Sept 201715 Sept 2017

Publication series

SeriesLecture Notes in Computer Science LNCS


Conference12th European Conference on Technology Enhanced Learning
Abbreviated titleEC-TEL 2017
Internet address


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


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