Tangible Progress: Employing Visual Metaphors and Physical Interfaces in AI-based English Language Learning
Abstract:
Over the past decade, Artificial Intelligence (AI) has made significant strides across various domains, including education. A prominent example of this is the integration of AI-driven language learning tools featuring Automated Essay Scoring (AES) systems. Traditionally, AES relied on predefined criteria, providing scores in simple text formats. In order to enhance learnability and engage learners, we propose a system that harnesses AI-powered AES with a visualization approach. This system consists of three main components: an AI-driven scoring algorithm, a visualization interface translating scoring outcomes into visual metaphors, and tangible posters for presenting scores. We evaluated this visualization system, along with the tangible-formatted results, through domain expert interviews and a three-stage user study. The results indicate that the progressive visual feedback and tangible postcards increased practice frequency and significantly boosted study motivation. Tangible visual feedback demonstrates positive effects on progressive learning.
Main reference:
Wang, M., Liang, H. N., Liu, Y., Ji, C., & Yu, L. (2024). Tangible Progress: Employing Visual Metaphors and Physical Interfaces in AI-based English Language Learning. Proceedings of the VLDB Endowment. ISSN, 2150, 8097.
BibTeX:
@article{wang2024tangible,
title={Tangible Progress: Employing Visual Metaphors and Physical Interfaces in AI-based English Language Learning},
author={Wang, Mei and Liang, Hai-Ning and Liu, Yu and Ji, Chengtao and Yu, Lingyun},
journal={Proceedings of the VLDB Endowment. ISSN},
volume={2150},
pages={8097},
year={2024}
}