Content area
This study focuses on the construction of the learner-centered teaching college English teaching mode under big data technology. Traditional college English teaching has issues, such as standardized teaching ignoring individual differences and lagging feedback. However, the development of big data technology offers opportunities for teaching reform. As shown through a comparative experimental verification of parallel classes of non-English majors in the class of 2022 at a certain university, this teaching mode had significant advantages in improving students' academic performance, optimizing learning behaviors, enhancing the use of learning strategies, and changing emotional attitudes. The study provided empirical evidence and a direction for the reform of college English teaching.
Details
Independent Study;
Academic Achievement;
College English;
Instructional Effectiveness;
Individual Differences;
Evaluative Thinking;
Computer Software;
English;
Educational Strategies;
Educational Quality;
Educational Resources;
Influence of Technology;
Learning Strategies;
Educational Technology;
Instructional Materials;
Educational Change;
Electronic Learning;
Educational Administration;
Educational Trends;
Integrated Activities;
Higher Education;
Educational Facilities Improvement;
Individual Needs;
Educational Needs
Students;
Teaching methods;
College students;
Higher education;
Technology;
Teaching;
Educational technology;
Foreign language learning;
Distance learning;
Teachers;
Chatbots;
Colleges & universities;
Big Data;
Verification;
Online instruction;
Critical thinking;
Learning;
Language;
Software;
Individual differences;
Feedback;
Student-centered learning;
Reforms;
Learning strategies;
Foreign language instruction;
Attitudes;
Artificial intelligence