人工智能专业学位研究生实践课程体系建设探索与实践——以内蒙古工业大学为例
Exploration and Practice of the Practice Curriculum System for Master Graduates of Professional Degree Majoring in Artificial Intelligence——Taking Inner Mongolia University of Technology as an Example
马志强 1翟娜 1王洪彬 1王云成 1宝财吉拉呼 1万剑雄1
作者信息
- 1. 内蒙古工业大学 数据科学与应用学院,内蒙古 呼和浩特 010080
- 折叠
摘要
针对地方院校在人工智能专业学位硕士研究生培养中专业实践培养经验少、未形成完整的学生实践能力培养体系和评价体系的问题,以社会对学生实践能力的需求为目标,结合学校录取学生的学情特点,首先定义人工智能专业学位研究生专业实践能力评价指标体系,构建人工智能专业学位研究生实践课程体系;其次以大数据技术框架应用课程为例,提供课程知识结构、案例内容和课程实施过程;最后使用能力评价指标对2021、2022级学生课程学习效果进行了评价.从统计结果可以发现,专业实践能力评价指标体系有助于实践课程体系建设和课程建设.
Abstract
Regarding the lack of practical experience in the master's degree training for artificial intelligence majors in local colleges,and the absence of a complete cultivation and evaluation system for students' practical abilities.Aiming at the needs of society for practical ability,we first defined the evaluation system of professional practical ability of graduate students majoring in artificial intelligence,constructed the prac-tical curriculum system of graduate students majoring in artificial intelligence,then taking Big data Technology Framework Application as an example,gave the curriculum knowledge structure,case content and curriculum implementation process;Finally,the ability evaluation indi-cators were used to evaluate the course learning effectiveness of students in grades 2021 and 2022.From the statistical results,it can be found that the evaluation system of professional practical ability is helpful for the construction of practical course system and course construction.
关键词
人工智能/实践能力/课程体系/评价指标体系Key words
artificial intelligence/practical ability/curriculum system/evaluation system引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据