Study on the Influence of Learning engagement on Deep Learning in E-Learning Environment

被引:1
作者
Dong Xiaoxiao [1 ]
Zhou Dongdai [1 ]
机构
[1] Northeast Normal Univ, Sch Informat Sci & Technol, Changchun 130117, Jilin, Peoples R China
来源
ICIET 2020: 2020 8TH INTERNATIONAL CONFERENCE ON INFORMATION AND EDUCATION TECHNOLOGY | 2020年
关键词
E-Learning Environment; Deep Learning; Behavioral Engagement; Cognitive Engagement; Emotional Engagement;
D O I
10.1145/3395245.3396428
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Learning investment is considered to be an important predictor of academic achievement, and learning investment affects the realization of deep learning. The article uses the revised learning engagement scale and deep learning scale in an online learning environment to select high school students in science to conduct a questionnaire survey and collect data. The data is researched from three aspects: overall descriptive statistical analysis, correlation analysis between learning investment and deep learning, and regression analysis of learning investment and deep learning. The results show that (1) The overall level of student investment and deep learning is relatively high, but students' learning interests, the maintenance and cultivation of good learning habits, and their ability to transfer and use knowledge are lacking. (2)The student's investment in learning It has a significant positive correlation with deep learning, in which learning behavior investment has the most significant impact on deep learning, cognitive investment is the second, and emotional investment is the lowest. (3) Students' behavioral and cognitive investment can positively predict deep learning capabilities, and behavioral investment has the biggest impact, and emotional investment has no impact on deep learning. Based on the above research results, the article gives the strategies for improving students' deep learning ability.
引用
收藏
页码:63 / 67
页数:5
相关论文
共 20 条
  • [1] ASTIN AW, 1984, J COLL STUDENT DEV, V25, P297
  • [2] Duan J.J., 2013, J DISTANCE ED, V31, P43
  • [3] School engagement: Potential of the concept, state of the evidence
    Fredricks, JA
    Blumenfeld, PC
    Paris, AH
    [J]. REVIEW OF EDUCATIONAL RESEARCH, 2004, 74 (01) : 59 - 109
  • [4] Metacognitive Knowledge and Skills in Students with Deep Approach to Learning. Evidence from Mathematical Problem Solving
    Garcia, Trinidad
    Cueli, Marisol
    Rodriguez, Celestino
    Krawec, Jennifer
    Gonzalez-Castro, Paloma
    [J]. REVISTA DE PSICODIDACTICA, 2015, 20 (02): : 209 - 226
  • [5] Hao Zhang, 2014, CHINA ED TECHNOLOGY, P51
  • [6] He Ling, 2005, MODERN TEACHING, P29
  • [7] Kong Qiping, 2002, RES SHANGHAI PRIMARY
  • [8] Kuh G.D., 2006, NATL POSTSECONDARY E
  • [9] Kuh G. D., 2008, HIGH IMPACT ED PRACT, DOI [10.1080/00091380109601795, DOI 10.1080/00091380109601795]
  • [10] Lin Feng, 2017, RES INFLUENCING FACT