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Shawn Yama

Undergraduate Student

I’m fourth-year Computer Science student at Ontario Tech University. I am working on the Card-IT project as an undergraduate research fellow. Card-IT is a web application that teaches Italian through flashcard games. I am developing a visually appealing React.js frontend along with its backend built with Flask and mySQL. My interests in Computer Science are in human-computer interaction, web development and games.

Contact

Publications

  • S. Yama, “Card-IT Versus: A Competitive Multiplayer Game for Testing Italian Verb Morphology,” Bachelors Thesis, 2022.

    PDF

    @BachelorsThesis{yam2022,

    author={Shawn Yama},

    title={Card-IT Versus: A Competitive Multiplayer Game for Testing Italian Verb Morphology},

    school={University of Ontario Institute of Technology},

    year=2022

    }

  • C. Collins, S. Arbour, N. Beals, S. Yama, J. Laffier, and Z. Zhao, “Covid Connect: Chat-Driven Anonymous Story-Sharing for Peer Support,” in ACM Designing Interactive Systems Conference, 2022.

    PDF

    @InProceedings{col2022a,

    title={Covid Connect: Chat-Driven Anonymous Story-Sharing for Peer Support},

    author={Collins, Christopher and Arbour, Simone and Beals, Nathan and Yama, Shawn and Laffier, Jennifer and Zhao, Zixin},

    booktitle = {ACM Designing Interactive Systems Conference},

    month = jun,

    year = 2022,

    doi = {10.1145/3532106.3533545}

    }

  • M. Shimabukuro, J. Zipf, S. Yama, and C. Collins. 2023. “Evaluating Classroom Potential for Card-it: Digital Flashcards for Studying and Learning Italian Morphology,” in Proc. of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023), pages 130–136, Toronto, Canada. ACL.

    PDF 
    @inproceedings{shimabukuro-etal-2023-evaluating,
    title = "Evaluating Classroom Potential for Card-it: Digital {F}lashcards for Studying and Learning {I}talian Morphology",
    author = "Shimabukuro, Mariana  and
      Zipf, Jessica  and
      Yama, Shawn  and
      Collins, Christopher",
    booktitle = "Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.bea-1.11",
    pages = "130--136",
    abstract = "This paper presents Card-it, a web-based application for learning Italian verb conjugation. Card-it integrates a large-scale finite-state morphological{\textasciitilde}(FSM) analyzer and a flashcard application as a user-friendly way for learners to utilize the analyzer. While Card-it can be used by individual learners, to support classroom adoption, we implemented simple classroom management functionalities such as sharing flashcards to a class and tracking students{'} progression. We evaluated Card-it with teachers of Italian. Card-it was reported as engaging and supportive, especially by featuring two different quiz types combined with a verb form look-up feature. Teachers were optimistic about the potential of Card-it as a classroom supplementary tool for learners of Italian as L2. Future work includes sample sentences and a complete learners evaluation.",
}

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