摘要
为补齐自考三位一体中'社会助学'这一短板,满足日益增长的个性化学习需要,从方法论的角度提出通过AI技术建立自考个性化学习支持系统的建议。以《计算机应用基础》为例,通过实证研究构建适用于该门课程的个性化学习评价指标体系,并通过可视化分析为AI系统的构建进行了探索。研究结果显示,构建个性化学习系统是自考转型和改革的机遇,一方面要集中精力开展以AI算法为目的的专门化课程研究,另一方面应全面普及在线学习和机考。
This research presents a methodology establishing Self-taught Examination individualized learning support system by Artificial Intelligence,to polish'society teaching'and satisfy increasingly demand of individualized learning.This research refers to'Foundations of Computer Application'and builds a set of individualized learning evaluation indicator system for this course by empirical study,and explores some visualized analysis.The result proves that establishing AI individualized learning support system is a good opportunity for transformation and reform of Self-taught Examination.We need to concentrate on carrying out specialized curriculum study objective of AI arithmetic,and also totally popularize online learning and computer-based testing.
作者
李佳
张涛
Li Jia;Zhang Tao(Beijing Education Examinations Authority,Beijing,100083)
出处
《考试研究》
2019年第5期47-59,67,共14页
Examinations Research
基金
中国高等教育学会自学考试分会“2017至2018年度科研课题”“大数据下实现‘自考个性化助学人工智能’的方法论初探”(课题立项编号:ZKFH201710)的研究成果
关键词
个性化学习
课程研究
AI技术
评价指标体系
因子分析
R语言与可视化分析
Individualized Learning
Curriculum Study
Artificial Intelligent
Evaluation Indicator System
Factor Analysis
R Language and Visualized Analysis