Title :
Research on training mode of college students´ autonomous learning ability based on the Internet
Author_Institution :
Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan, China
Abstract :
In this paper, we propose a training model that aims to improve the college students´ autonomous learning ability based on the Internet. We build an autonomous learning environment, which can effectively combine classroom teaching and extra-curricular learning without time and space constraints. In this way, it not only can evaluate the students´ self-learning ability, but also classification regulation of student learning behavior and process. This mode has a high degree of feasibility, the effect is good.
Keywords :
Internet; computer based training; pattern classification; teaching; Internet; autonomous learning environment; classroom teaching; college student autonomous learning ability; extra-curricular learning; student learning behavior classification regulation; student learning process; student self-learning ability; training model; Computers; Educational institutions; Indexes; Monitoring; Course study; autonomous learning; autonomous learning ability; autonomous learning environment;
Conference_Titel :
Computer Science & Education (ICCSE), 2013 8th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4673-4464-7
DOI :
10.1109/ICCSE.2013.6554092