ORIGINAL RESEARCH
Evaluation of Digital Technology Integration
into University Teaching Acceptance
in the Context of Green
and Sustainable Development
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1
School of foreign languages, Tianjin University, Tianjin 300350, China
2
School of economics and management, Civil Aviation University of China, Tianjin 300300, China
Submission date: 2024-04-30
Final revision date: 2024-06-06
Acceptance date: 2024-07-09
Online publication date: 2024-11-06
Corresponding author
Haixia Guo
School of Foreign Languages, Tianjin University, Tianjin 300350, China
Hui Feng
School of Foreign Languages, Tianjin University, Tianjin 300350, China
Gang Zeng
School of Economics and Management, Civil Aviation University of China, Tianjin 300300, China
KEYWORDS
TOPICS
ABSTRACT
Environmental pollution, ecological destruction, and waste of resources are increasingly
threatening human existence. The Chinese government has set the goal of “carbon peaking by 2030
and carbon neutrality by 2060” to promote green and sustainable development. Under the background
of the green and digital era, it is necessary to promote green and sustainable higher education. It is
of great theoretical and practical value to discuss the acceptability of green technology in higher
education teaching. This paper takes the acceptance evaluation of green technology into college
foreign language teaching as the object, constructs the acceptance evaluation index system based on
the Delphi method, selects the entropy weight TOPSIS model to evaluate the acceptance, and finally
tests the main factors affecting the acceptance through the whole and grouping regression models.
The main conclusions are as follows: (1) Based on the Delphi method, a five-dimensional acceptance
evaluation index system including “teaching mode, teaching skills, teaching ideas, teaching content,
and teaching effects” can be constructed. (2) Based on the entropy weight TOPSIS model, it is found
that the relative proximity Z value of the acceptance of green technology into college foreign language
teaching has significant heterogeneity. (3) Through multiple linear regression analysis, it can be found
that the evaluation subjects’ dependence on green technology, imagination, educational equity, and
interpersonal interaction have the greatest impact on their acceptance. The scientific and rational use
of green technology tools such as digital technology will become a possible direction for the reform of
intelligent foreign language teaching.