The Framework of a Tiktok-Style Education APP for ISO Geometrical Production Specification

Tukun Li, Qiuyan Gai, Chao Kong, Kang Song, Yuanping Xu, Junding Luo, Hongsheng Fu, Annette Fillery-Travis

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

In the movement toward industry 4.0, there is a significant change in ISO Geometrical Product Specification and Verification standards (GPS), The latest version of GPS empowers an engineer to describe his/her requirements precisely and unambiguously. However, it also considerably increases the difficulty of ISO GPS education. To this end, the paper proposes an AI-based learning method through a Tiktok-Style education app for vocational training, specifically in the delivery of ISO GPS. Tiktok is a short-form video-sharing app empowered by machine learning. Based on the key concepts learned from Tiktok, the framework of an education APP for ISO GPS, namely GPS-SV, is developed. The framework is detailed and illustrated via a case study.
Original languageEnglish
Pages (from-to)25-29
Number of pages5
JournalProcedia CIRP
Volume114
Early online date31 Oct 2022
DOIs
Publication statusPublished - 31 Oct 2022
Event17th CIRP Conference on Computer Aided Tolerancing - Arts et Métiers, Metz, France
Duration: 15 Jun 202217 Jun 2022
Conference number: 17
https://artsetmetiers.fr/en/CIRPCAT2022

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