困境与路径:基于协同论的人工智能领域创新创业教育研究  

Dilemma and Solution: Research on Innovation and Entrepreneurship Education in Artificial Intelligence Field Based on Collaborative Theory

作　　者：门志国 刘盼盼 王兴梅[3] MEN Zhi-guo;LIU Pan-pan;WANG Xing-mei(Harbin Engineering University,Harbin 150001,China)

机构地区：[1]哈尔滨工程大学数学科学学院,黑龙江哈尔滨150001 [2]哈尔滨工程大学马克思主义学院,黑龙江哈尔滨150001 [3]哈尔滨工程大学计算机科学与技术学院,黑龙江哈尔滨150001

出　　处：《黑龙江高教研究》2022年第1期139-144,共6页Heilongjiang Researches on Higher Education

基　　金：黑龙江高等教育教学改革项目“新工科背景下人工智能领域学生创新创业能力培养与实践研究”(编号:SJGY20190130)。

摘　　要：随着人工智能第三次革命性浪潮的不断推进,创新创业教育作为人工智能领域人才培养的重要基石,存在校内与校外资源缺乏有序互补和深度融合、校内教育主体间缺乏相向而行和合力优势、纵向贯通衔接有隙和时序混沌、横向融合拓展受阻和层级体制固化的现实困境。基于协同理论在内涵逻辑、实践逻辑上与创新创业教育高度契合的启示,构建人工智能领域创新创业教育协同机制,实现教育主体协同和教育资源协同,以不断提升学生的理论素养、创新能力和创业精神。With the continuous advancement of the third revolutionary wave of artificial intelligence, innovation and entrepreneurship education is playing a significant role in the field of talent training, it is also faced with some realistic dilemma, including the deficiency in orderly complementary and deep integration of resources inside and outside the school, the shortage of mutual action and joint force between the main bodies of education in the school, the vertical connection gap and time series chaos, horizontal integration and expansion obstruction together with hierarchical system solidification. Based on the enlightenment that the collaborative theory is highly consistent with innovation and entrepreneurship education in connotation logic and practice logic, we are able to construct the collaborative mechanism of innovation and entrepreneurship education in order to realize the collaboration of education subjects and education resources and contribute to prompting students’ theoretical literacy, innovation ability and entrepreneurship continuously.

关 键 词：协同理论 人工智能 创新创业教育 困境与路径 

分 类 号：G647[文化科学—高等教育学]