摘要
针对传统光电实验教学存在的设备成本高、操作风险大、数据处理复杂等痛点,辽宁科技大学光电信息科学与工程专业依托学科优势,构建“AI+光电实验”新型基地架构,推动实验教学向智能化转型。该模式通过技术与教育的深度融合,构建了“能力培养—数据反馈—实践验证”的高效闭环,为新工科实验教学改革提供了可复制的智能化方案,助力科教兴国战略背景下光电领域创新人才培养与产业技术转化。
In response to the pain points of high equipment costs,high operational risks,and complex data processing in traditional optoelectronic experimental teaching,Liaoning University of Science and Technology's Optoelectronic Information Science and Engineering major relies on its disciplinary advantages to build a new base architecture of"AI+optoelectronic experiments"and promote the transformation of experimental teaching towards intelligence.This model,through the deep integration of technology and education,constructs an efficient closed loop of"ability cultivation data feedback practical verification",providing replicable intelligent solutions for the reform of new engineering experimental teaching,and assisting in the cultivation of innovative talents and industrial technology transformation in the field of optoelectronics under the background of the strategy of rejuvenating the country through science and education.
作者
王茜
王颖
梁英爽
江俊儒
Qian Wang;Ying Wang;Yingshuang Liang;Junru Jiang(University of Science and Technology Liaoning,Anshan,Liaoning 114051)
出处
《教育教学研究前沿》
2025年第8期54-56,共3页
Frontiers of Education and Teaching Research
基金
2025年度辽宁科技大学教育科学研究项目《新工科背景下AI赋能光电专业校企协同实验基地的产教融合模式研究》(项目负责人:王茜)、《“新工科”背景下基于产教融合的应用型光电专业人才培养模式研究》(项目负责人:梁英爽)
辽宁科技大学产学研项目《AI赋能光电专业实验创新基地》(项目负责人:王茜)研究成果。
关键词
人工智能
光电实验基地
实验教学改革
AI+光电实验
artificial intelligence
optoelectronic experimental base
experimental teaching reform
AI+optoelectronic experiment
