Research and Analysis of Students’ English Learning Effectiveness in the Context of Big Data Computing
- DOI
- 10.2991/978-94-6463-238-5_52How to use a DOI?
- Keywords
- Psychological Perspective; Higher Education Students; English Learning; Teaching Strategies
- Abstract
Higher vocational students are the main body of educational and teaching activities in higher vocational schools, and psychological factors are important factors affecting the effectiveness of students’ independent engagement in learning. Many vocational school students cannot hear well in class, cannot do their homework independently after class, and most of them have little interest in learning and lack learning goals. From a psychological perspective, we encourage higher vocational students to use their positive strengths to overcome mental health problems, emphasize teachers’ use of positive qualities and potential to invest in teaching, including treating higher vocational students with a more positive attitude, increasing students’ positive learning potential, building their own self-confidence in learning English, and increasing their sense of well-being in life.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Diqiu Wang AU - Tian Chen AU - Bo Chen PY - 2023 DA - 2023/09/26 TI - Research and Analysis of Students’ English Learning Effectiveness in the Context of Big Data Computing BT - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023) PB - Atlantis Press SP - 379 EP - 384 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-238-5_52 DO - 10.2991/978-94-6463-238-5_52 ID - Wang2023 ER -