Content area

Abstract

This study explores the application of the task-based teaching method in English education, particularly from the perspective of big data. Traditional English teaching models often fail to meet the diverse needs of students, with the task-based approach, despite being student-centered, encountering challenges such as task difficulty control and the lack of timely feedback. Big data technologies, through comprehensive data collection and analysis, offer new possibilities for enhancing task-based teaching. This can be achieved through precise task design, real-time teaching monitoring, and multi-dimensional feedback evaluation. Empirical comparative analysis indicates that the experimental class adopting the task-based teaching method, supported by big data, shows significant improvements in oral fluency and student engagement, highlighting the potential of big data in optimizing task-based teaching.

Details

10000387
Business indexing term
Title
Task-based Teaching Method in English Teaching From the Perspective of Big Data
Author
Zhang, Dan 1 

 Henan Judicial Police Vocational College, China 
Volume
20
Issue
1
Pages
1-17
Number of pages
18
Publication year
2025
Publication date
2025
Publisher
IGI Global
Place of publication
Hershey
Country of publication
United States
ISSN
1548-1093
e-ISSN
1548-1107
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Milestone dates
2025-01-01 (pubdate)
ProQuest document ID
3222669076
Document URL
https://www.proquest.com/scholarly-journals/task-based-teaching-method-english-perspective/docview/3222669076/se-2?accountid=208611
Copyright
© 2025. This work is published under https://creativecommons.org/licenses/by/4.0/ (the "License").  Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-12-15
Database
3 databases
  • Education Research Index
  • ProQuest One Academic
  • ProQuest One Academic