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The Construction Path of the University English Ecological Classroom Teaching Model Under Big Data

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Yayımlandı:International Journal of Distance Education Technologies vol. 23, no. 1 (2025), p. 1-16
Yazar: Jin, Yaming
Baskı/Yayın Bilgisi:
IGI Global
Konular:
Teaching
Colleges & universities
Collaboration
Higher education
Student teacher relationship
Classroom communication
Resource allocation
Distance learning
Big Data
Ecology
Innovations
Student participation
Classrooms
Real time
Education
Data collection
Feedback
Intelligence
Transformation
Students
Communication (Thought Transfer)
College English
Student Motivation
Computer Networks
Database Management Systems
Educational Environment
Achievement Gap
Learner Engagement
Educational Strategies
Educational Quality
Educational Resources
Distance Education
Educational Technology
Educational Change
Computer Oriented Programs
Student Needs
Databases
Data Processing
College Science
Educational Facilities Improvement
Educational Needs
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Özet:With the development of big data technology, higher education is transitioning towards intelligence and ecology. University English teaching, constrained by traditional models, faces challenges such as unmet student needs, inefficient resource allocation, and insufficient teacher-student interaction. Big data, through data collection, real-time analysis, and precise feedback, offers an opportunity for teaching innovation. Based on ecological classroom theory, this paper proposes a path for constructing a university English ecological classroom, integrating the dynamic, systematic, and adaptive features of ecological classrooms to form a data-driven teaching model. The study shows that big data can optimize resource allocation, increase student engagement, and improve teaching interaction, providing new ideas for the ecological transformation of university English classrooms. Additionally, it offers important insights for teaching reforms and the application of big data in other disciplines.
ISSN:1539-3100
1539-3119
DOI:10.4018/IJDET.375010
Kaynak:ABI/INFORM Global