高教学刊2025，Vol.11Issue(34)：1-8,8.DOI:10.19980/j.CN23-1593/G4.2025.34.001
"双碳"与AI驱动下高校氢能人才培养模式探索
摘要
Abstract
This paper aims to address the three major structural contradictions in current hydrogen energy talent training in universities-namely,lagging training objectives,rigid curriculum systems,and traditional teaching methods-under the dual drive of the"Dual-Carbon"goals and artificial intelligence(AI).By constructing a three-dimensional competency model encompassing"Green Literacy,AI Empowerment,and Core Innovation"(G-AI-C),this study systematically reshapes talent training objectives and proposes a core pathway centered on interdisciplinary curriculum restructuring,AI-enabled teaching models,and a data-driven evaluation mechanism,supported by cross-disciplinary faculty and collaborative innovation platforms.The research develops a systematic reform plan for hydrogen energy talent training,encompassing both theoretical frameworks and implementation pathways.The results indicate that this model effectively promotes deep interdisciplinary integration and the cultivation of comprehensive competencies,offering universities a new approach to talent training that meets the demands of industrial transformation.This study holds significant theoretical value and practical guidance for advancing the systematic reform of engineering education and supporting the high-quality development of the hydrogen energy industry.关键词
"双碳"目标/人工智能/氢能人才/培养模式/教学改革/交叉学科Key words
dual carbon goals/artificial intelligence/hydrogen energy talents/training mode/teaching reform/interdisciplinary studies分类
社会科学引用本文复制引用
庞胜利,杨娟.."双碳"与AI驱动下高校氢能人才培养模式探索[J].高教学刊,2025,11(34):1-8,8.基金项目
江苏省教育科学规划课题"新质生产力视域下产教融合赋能工程类专业学位研究生培养模式研究"(B-b/2024/01/84) （B-b/2024/01/84）
江苏省学位与研究生教育教学改革课题"新质生产力视角下专业学位研究生多元协同产教融合育人模式的改革与实践"(JGKT24_B059) （JGKT24_B059）
