Dr Jemma König
Postdoctoral Fellow (Computer Science)
Qualifications:
PhD (Computer Science) Waikato
BCMS (Hons) Waikato
Contact Details
Email: jemma.konig@waikato.ac.nz
Room: G.2.04
Phone: +64 7 838 4768
Extension: 4768
Website: https://www.cms.waikato.ac.nz/~jkonig/
About Jemma
Jemma is a Postdoctoral Fellow in the Department of Computer Science at the University of Waikato. She is working on the Tini o te Hakituri project under Associate Professor Annika Hinze and Dr Judy Bowen. Hakituri is a project funded by the Ministry of Business, Innovation and Employment (MBIE) investigating technology uses in hazardous work environments.
Jemma started her undergraduate study at the University of Waikato in 2012, graduating with a Bachelor of Computing and Mathematical Sciences with first class honors. After this she undertook a Ph.D. in Computer Science, which she completed in 2019.
Research Interests
Jemma’s PhD research explores a computational approach to vocabulary testing, language tools, and text enrichment. More specifically focusing on corpus analysis, pseudoword generation, automated vocabulary testing, and tracking learners' interaction with online written language.
Teaching Commitments
Recent Publications
Konig, J., Hinze, A., & Bowen, J. (2021). Identifying worker fatigue in the New Zealand forestry industry: Computer Science Working Paper Series (03/2021). University of Waikato.
Konig, J. (2020). Automating vocabulary tests and enriching online courses for language learners (PhD abstract). IEEE Intelligent Informatics Bulletin, 20, 42. Retrieved from http://www.ieee-iib.org/2020/IIB2020_Final.pdf
Fitzgerald, A., Konig, J., & Witten, I. H. (2019). F-Lingo: Integrating lexical feature identification into MOOC platforms for learning professional and academic English. In Proc 2019 IEEE Learning With MOOCS (LWMOOCS 2019) (pp. 101-104). Milwaukee, WI. doi:10.1109/LWMOOCS47620.2019.8939658 Open Access version: https://hdl.handle.net/10289/13574
Konig, J., Calude, A. S., & Coxhead, A. (2019). Using character-grams to automatically generate pseudowords and how to evaluate them. Applied Linguistics, amz045, 24 pages. doi:10.1093/applin/amz045 Open Access version: https://hdl.handle.net/10289/13335
Find more research publications by Jemma König