International Journal of Computer-Assisted Language Learning and Teaching, volume 12, issue 1, pages 1-22

Supporting Non-Expert Users in Authoring Tasks for Learning Language and Culture

Ahmed Kharrufa 1
Müge Satar 1
Colin Bone Dodds 1
Paul Seedhouse 1
Publication typeJournal Article
Publication date2022-12-09
scimago Q1
SJR0.430
CiteScore3.0
Impact factor0.7
ISSN21557098, 21557101
Computer Science Applications
Linguistics and Language
Education
Computer Vision and Pattern Recognition
Abstract

This paper presents the evaluation of a web app (ENACT) developed to support users with no expertise in pedagogy, media, and/or technology in creating engaging pedagogy-informed open educational resources. The aim is to increase cultural awareness and linguistic skills development through the creation of, and engagement with, interactive cultural activities. The design, which is informed by both theory and user input, is implemented by building a user-facing layer on top of the existing H5P platform. Participants' input from the evaluation workshop supported the design decisions around the provided task structure and the design choices around interactive media used. This work contributes a system as a web app to support non-experts in creating engaging online activities of a cultural and linguistic educational value and design recommendations generalizing the research based on literature, user insights, the developed system, and an evaluation study with migrants, refugees, and asylum seekers.

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