Browsing by Author "König, Jemma Lynette"

Now showing items 1-5 of 9

  • Automating vocabulary tests and enriching online courses for language learners

    König, Jemma Lynette (The University of Waikato, 2019)
    The past decade has seen a massive growth in online academic courses, most of which are offered in the English language. However, although more people speak English as their second language than as their first, online ...
  • Cultural and ethical implications of wearable technology uses

    Miller, Jadon; Head, Mitchell Antony; Owen, Mahonri; Hoskens, Merel Cornelie Janna; König, Jemma Lynette; Bowen, Judy (University of Waikato, 2024-02)
    For Human-Computer Interaction (HCI) practitioners, interacting with people is a fundamental part of our work. When running any kind of user study, it is important to critically consider any ethical or cultural biases that ...
  • F-Lingo: Integrating lexical feature identification into MOOC platforms for learning professional and academic English

    Fitzgerald, Alannah; König, Jemma Lynette; Witten, Ian H. (IEEE, 2019)
    F-Lingo is a chrome extension that works on top of the FutureLearn MOOC platform to support content-based language learning of domain-specific terminology for professional and academic purposes.
  • Learning collocations with FLAX apps

    Yu, Alex; Wu, Shaoqun; Witten, Ian H.; König, Jemma Lynette (The University of Technology, Sydney, 2016)
    The rise of Mobile Assisted Language Learning has brought a new dimension and dynamic into language classes. Game-like apps have become a particularly effective way to promote self-learning to young learners outside ...
  • A mobile reader for language learners

    König, Jemma Lynette; Witten, Ian H.; Wu, Shaoqun (The University of Technology, Sydney, 2016)
    This paper describes a new approach to mobile language learning; a mobile reader that aids learners in extending the breadth of their existing vocabulary knowledge. The FLAX Reader supports L2 (second language) learners ...

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  • Utilizing IoT in hazardous work environments

    Exton, Dylan Tylor (The University of Waikato, 2021)
    In New Zealand, the forestry industry is one of the most dangerous industries to work in. Workers in the forestry industry are three times more likely to be killed while at work than any other industry in New Zealand ...