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Ibigkas! 2.0: Directions for the Design of an Adaptive Mobile-Assisted Language Learning App

  • Ma. Mercedes T. Rodrigo
  • Jaclyn Ocumpaugh
  • Dominique Marie Antoinette Manahan
  • Jonathan D. L. CasanoEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11597)

Abstract

Ibigkas! is a team-based mobile-assisted language learning application that provides students with English language practice. Working collaboratively rather than competitively, players must find the rhyme, synonym, or antonym of a given target word among different lists of words on their mobile phones. At this time, Ibigkas! is not adaptive. In order to anticipate the needs of an adaptive version of the game, we conducted a workshop in which students and teachers from the target demographic played the game and then participated in focus group discussions. Based on their feedback, we conclude that an adaptive version of the game should include metacognitive support and a scoring system that enables monitoring of individual performance based on individual mistakes or non-response. Tracking of individual performance will enable us to build in other articulated student and teacher preferences such as levelling up, rankings, adaptive difficulty level adjustment, and personalized post-game support.

Keywords

CSCL Ibigkas! English language learning 

Notes

Acknowledgements

We thank the Ateneo de Manila University, specifically the Ateneo Center for Educational Development, Areté, and the Department of Information Systems and Computer Science. We thank the principals, teachers, and learners of our partner public schools for their participation. We thank our support staff composed of Francesco Amante, Michelle Banawan, Jose Isidro Beraquit, Philip Caceres, Marie Rianne M. Caparros, Marco De Santos, Walfrido David Diy, Marika Fernandez, Ma. Rosario Madjos, Monica Moreno, and Lean Rimes Sarcilla. Finally, we thank the Commission on Higher Education and the British Council for the grant entitled Jokes Online to improve Literacy and Learning digital skills amongst Young people from disadvantaged backgrounds.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ma. Mercedes T. Rodrigo
    • 1
  • Jaclyn Ocumpaugh
    • 2
  • Dominique Marie Antoinette Manahan
    • 1
  • Jonathan D. L. Casano
    • 1
    • 3
    Email author
  1. 1.Ateneo de Manila UniversityQuezon CityPhilippines
  2. 2.University of PennsylvaniaPhiladelphiaUSA
  3. 3.Ateneo de Naga UniversityNaga CityPhilippines

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