Research on the Construction of Core Competency Framework and Training Quality Evaluation System for Industrial Design Talents in the Intelligent Era

Abstract

Against the backdrop of intelligent technologies such as artificial intelligence (AI) and big data driving revolutionary industrial transformations, this study aims to address the fundamental restructuring of industrial design paradigms and talent roles in the AI era by constructing a dynamic competency model centered on "value-system-collaboration" and its enabling evaluation system. The research first demonstrates the paradigmatic shift of industrial design from a "tool for creating objects" to a "definer of intelligent ecosystems," clarifying the upgrading of designers' roles to "ecosystem architects." Based on this, a three-tier competency ecosystem framework is proposed, with value ethics as the guide, systems thinking as the backbone, and human-machine collaboration as the lifeblood. To implement this framework, an intelligent evaluation closed-loop is designed, shifting from "summative assessment" to "formative empowerment." Through full-process data perception and diagnostic feedback, teaching is driven to accurately align with competency objectives. This study provides a systematic discussion from theoretical model to evaluation system for cultivating the core competencies of industrial design talents facing the intelligent era.