【摘要】 自适应学习技术和能力导向的理念在现代教育领域中普及,继辅助知识学习之后,以能力提升为目标的自适应学习系统将代表教育技术发展的未来。保证学生学习输出能力测评的科学性、客观性和实时性是其中的关键。提出了基于思维层、学科层、知识层的三层能力空间与知识空间,采用多维项目反应理论提出了一种新的能力测量评价方法,并在某高校以机器人工程方向为背景开发了一个能力导向的自适应学习系统。该系统在2019年春季学期进行了课程教学实践,实现了学习过程中学生能力的即时测评和针对能力弱项的个性化反馈辅导,而对照组学生则沿用传统的知识点查缺补漏辅导方式。期末考核结果反映,实验组学生成绩有明显提升,系统的能力评价结论也得到八成以上学生的认同。系统实验结果表明,提出的能力测评方法合理有效,较准确地找到了学生欠缺的能力,可以在学习过程中显著提升学生的学习效果。更多还原

【Abstract】 This paper presents a three-level ability space and knowledge space based on Thinking Layer,Subject Layer(aimed to academic ability of specific subject) and Knowledge Layer.A new method of capability measurement and evaluation is proposed by using multidimensional Item Response Theory.A capability oriented adaptive learning system is developed based on robot engineering university curriculum.In the spring semester of 2019,the designed system participates in a course teaching practice,realized the real-time assessment of students’ ability in the learning process and personalized feedback guidance for weak points of ability.The control group students followed the traditional way of tutoring.The results of the final examination showed that the scores of the students in the experimental group are significantly improved,and more than 80% of the students agreed with the conclusion of the systematic ability evaluation.更多还原