English proficiency is an important component of the overall quality of college students. With the changing times, the demand for English learning among college students is becoming increasingly diverse. The traditional approach is teacher centered, with classroom teaching as the main focus, lacking interactivity and personalization. In order to improve the quality and level of teaching and promote the development of intelligent teaching, this article combines Internet of Things (IoT) intelligent distance education (DE) technology to study the reform of college English teaching. By constructing an IoT technology architecture, student learning data and individual attributes are identified, and relevant analysis and calculation of student learning behavior characteristics and learning outcomes are achieved. Customized learning plans and evaluation systems based on student characteristics are generated to provide intelligent learning services. The experiment uses empirical analysis research methods and questionnaire survey data analysis methods to analyze. The implementation results show that compared to before the application of IoT intelligent remote education technology, after the application of IoT intelligent remote education technology, 50 and 138 students in Class 1 and Class 2 are very active in English learning, respectively. The number of students who have a very positive attitude towards English learning is 17 and 101 more than before, respectively. The conclusion indicates that IoT intelligent DE technology can help improve students' enthusiasm for English learning, improve teaching quality and effectiveness.

Xiaofang Yu. Application of IoT Intelligent Distance Education Technology in College English Teaching Reform. International Journal of New Developments in Education (2024), Vol. 6, Issue 8: 60-70. https://doi.org/10.25236/IJNDE.2024.060809.

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