@article{MAKHILLJEAS202015419031,
    title = {Identifying Natural Categories of Learning Tasks using Clustering
Techniques for the DeMite Game},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {15},
    number = {4},
    pages = {965-969},
    year = {2020},
    issn = {1816-949x},
    doi = {jeasci.2020.965.969},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2020.965.969},
    author = {Rifki,Agus,Hashfi Rasis and},
    keywords = {Clustering,natural categories,learning tasks,educational,augmented,specifically},
    abstract = {The DeMite is an educational game to learn how to pronounce English words with augmented
reality, location-based and speech-to-text features presented in horror genre. This game is designed for
non-English speakers, specifically Indonesian speaking user. Many people in Indonesia still cannot speak
English properly, thus, there is a need to carefully select the appropriate English words as learning tasks in the
DeMite game. The proposed method shows that each learning tasks can be grouped into their natural categories
using clustering method.}
    }