信息技术课程深度学习影响因素研究——以“信息可信度评估”学习内容为例

Influencing Factors of Deep Learning in Information Technology Curriculum

This study aims to improve the learning quality of Information Technology curriculum and achieve deep learning. Taking ＂Information Credibility Evaluation＂ as learning content， the IE-IS-DL model was constructed and research tools with good reliability and validity were developed. Explore the influencing factors of deep learning in Information Technology curriculum. A questionnaire survey of 300 students was conducted in a provincial school in the northeast part of China. The results show that: 1. The information activity experience has a significant positive effect on information strategy， and the information activity strategy has a significant positive effect on students' deep learning. Information activities The strategy plays a complete mediating role between information activity experience and in-depth learning. 2. The differences in grades and ages of students do not have a significant effect on deep learning， but the level of academic qualifications of students’ parents has a significant positive effect on students’ deep learning. 3. grade factor has a significant effect on the information activity experience and information activity strategy， but after eliminating the influence of age factor， the grade factor only has a significant effect on the information activity experience. Based on the above findings， it is suggested that the teaching of information activity strategies should be strengthened in the teaching of Information Technology curriculum.