What Factors Influence Students’ Seat Preference in the Smart Classroom? Results of Logistic Regression

Guo-fang Lu
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Abstract

With the development of information technology, the smart classroom, as a typical media-rich learning environment, is gradually becoming one of the important contexts for instructional activities in higher education. This study focuses on what factors influence seating preferences in smart classrooms. We selected a typical smart classroom layout and a questionnaire method was used with 84 valid participants in a smart classroom. The logistic regression analysis method was executed and used to analyze the individual seat selection preference characteristics and explore the factors influencing the individual's seat preference in the smart classroom. We found that age and intrinsic motivation could predict the preference for distance from the podium, while expected performance can predict the preference for distance from the center in a smart classroom. In instructional practice, teachers should respect students' seating preferences and adopt reasonable seating assignment strategies.
智能课堂中影响学生座位偏好的因素是什么?Logistic回归结果
随着信息技术的发展,智能课堂作为典型的富媒体学习环境,正逐渐成为高等教育教学活动的重要情境之一。本研究的重点是影响智能教室座位偏好的因素。我们选择了一个典型的智能教室布局,采用问卷调查的方法,在一个智能教室中有84名有效参与者。运用logistic回归分析方法,分析智能教室中个体的座位选择偏好特征,探讨影响个体座位偏好的因素。我们发现,在智能教室中,年龄和内在动机可以预测学生对离讲台距离的偏好,而预期表现可以预测学生对离中心距离的偏好。在教学实践中,教师应尊重学生的座位偏好,采取合理的座位分配策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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