Hwang, Shin, & Lee (2022). 메타버스와 인공지능 기반 영어 말하기 평가 문항의 개발 방향 및 향후 과제

[Dongkwang Shin]

메타버스와 인공지능 기반 영어 말하기 평가 문항의 개발 방향 및 향후 과제

황요한(전주대학교)
신동광(광주교육대학교)
이혜진(원광대학교)

Hwang, Yohan, Shin, Dongkwang & Lee, HyeJin. (2022). Developmental directions of metaverse- and
AI-powered English-speaking assessments and future tasks. Multimedia-Assisted Language Learning, 25(4),
258-284.
New frontiers of world-breakthrough technology, such as Metaverse and AI, have been heralded as a promising future of education, and a revolutionary rethink of how we assess and teach is underway. Against this backdrop, this preliminary research endeavored to explore a new future-oriented model of English-peaking assessment, supported by Metaverse and AI. To this end, the paper is organized into three parts: Part I analyzes the status quo of English-peaking tests hitherto and their main facets; Part II explores a new way forward in redesigning speaking assessment with experiential, multimodal-evoked, and automated potentials; finally, Part III eval‎uated seven English-speaking assessment items using four previously developed models and our own three new ones. Thirty-four experts judged these items based on three criteria: validity, practicality, and authenticity. The results clearly demonstrate how technology could be used to create virtually authentic speaking contexts for learners. The insights gathered from this from this pioneering research inspire future research attempts in this direction and offer new directions for English-speaking assessment.

Key words: English speaking, English interview, assessment, metaverse, AI
doi: 10. 15702/mall.2022.25.4.258

11. 황요한신동광이혜진-1.pdf

4.36MB