摘要
为了应对信息化和全球化的挑战,基于复杂性科学和解空间理论,构建融合研究性学习模式的本科人才培养新模式。解空间映射分析表明,这种新模式在保留传统模式重视逻辑与技术分析的基础上,突出在自然与社会领域中复杂问题求解能力的培养,强调在非线性迭代的问题求解中持续提升有效交流、批判性思维、信息素养、团队合作和学术研究等核心素养。它是一个开放、容错的复杂性学习环境。
In order to meet the challenges of informationization and globalization,based on the complexity science and solution space theories,a new talents training mode integrating research based learning mode was constructed. Through the analysis of solution space mapping,the results show that based on the traditional model focusing on the logic and technology analysis,this new model highlights the complex problem solving skills in natural and social fields,and emphasizes on the developing student’s core competencies,such as the effective communication,critical thinking,information literacy,teamwork,academic research and analysis in the nonlinear regression problem solving path. It is an open and fault- tolerant learning environment.
出处
《重庆高教研究》
2017年第2期91-100,共10页
Chongqing Higher Education Research
基金
重庆市教育科学"十二五"规划重点资助项目"探究性学习环境下混合教学模式的研究与实践"(2015-GX-02)
重庆市研究生教育教学改革研究一般项目"基于国家创新体系的重庆高校跨学科研究生培养模式的研究与实践"(yjg133084)
关键词
本科教育
人才培养模式
复杂性科学
范式
解空间
undergraduate education
talents training model
complexity science
paradigm
solution space