“人工智能+新工程”背景下多元融合数字智能人才培养模式探索

Caiyun Xu, Qinglin Wu
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引用次数: 0

摘要

随着人工智能、云计算、5G、大数据等新一代技术的快速发展,与实体经济深度融合。“数字化企业”正在加速向“数字化智能企业”转型。数字智能的发展使现代产业对人才的需求发生了巨大变化,推动了教育改革的不断深化。如高校人才培养目标定位、课程体系、教学模式等。为满足数字智能产业发展的人才需求,探索“人工智能+新工程”背景下的人才培养模式,提出多融合培养理念,实现多方优质资源整合;深化校企合作,共同打造“产学研创新”综合实验平台,提高数字智能人才培养质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploration of Multiple Fusion Digital Intelligences Talent Training Mode under the Background of "Artificial Intelligence + New Engineering"
With the rapid development of new generation technologies such as artificial intelligence, cloud computing, 5G and big data, it is deeply integrated with the real economy. "Digital enterprise" is accelerating the transformation to "digital intelligent enterprise".Great changes have taken place in the demand for talents in the development of digital intelligence in modern industries, which promotes the deepening reform of education. Such as university personnel training target positioning, curriculum system, teaching model and so on. In order to meet the talent demand of the development of digital intelligence industry, the talent training mode under the background of "artificial intelligence + new engineering" is explored, the concept of multi-fusion training is proposed to achieve the integration of multi-party high-quality resources, Deepen school enterprise cooperation and jointly create an integrated experimental platform for "industry university research innovation",and improve the quality of digital intelligence talent training.
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