促进大学生深度学习的解释性文本资源研究

Yueting Yang, Mei Jing, Yue-liang Zhou
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引用次数: 0

摘要

数字资源是支持学生在线学习和自主学习的基础。本文针对大学生理解抽象文本资源的困难,根据学生的实际情况,在数字教材建设中增加解释性资源,即对数字文本资源中学生不理解的单词或内容,提供文本型解释性资源,以提高文本资源的可读性和内容的可理解性。通过对自然情境的跟踪研究,解释性资源可以提高数字教材的可读性,引导学生深入阅读,从而提高学生的学习效果,为数字资源建设提供方向性建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Explanatory Text Resources Promoting College Students' Deep Learning
Digital resources are the basis to support students' online learning and autonomous learning. Based on the difficulties of college students in understanding abstract text resources, this paper adds explanatory resources in the construction of digital textbooks according to the actual situation of students, that is, for words or content that students do not understand in digital text resources, it provides text type explanatory resources to improve the readability of text resources and the comprehensibility of content. Through tracking research in natural situations, interpretative resources can improve the readability of digital textbooks, guide students to read in depth, thus improving students' learning effect, and provide directional suggestions for the construction of digital resources.
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