Smart classroom learning environment preferences of higher education teachers and students in China: An ecological perspective
By evaluating learners' perceived preferences for the learning environment, we can understand the important characteristics and better improve the learning environment, ultimately to provide great potential for the optimization of teaching practice. Seeing that the current research pays less at...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-06-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023039762 |
| _version_ | 1797813737713827840 |
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| author | Zhicheng Dai Junxia Xiong Liang Zhao Xiaoliang Zhu |
| author_facet | Zhicheng Dai Junxia Xiong Liang Zhao Xiaoliang Zhu |
| author_sort | Zhicheng Dai |
| collection | DOAJ |
| description | By evaluating learners' perceived preferences for the learning environment, we can understand the important characteristics and better improve the learning environment, ultimately to provide great potential for the optimization of teaching practice. Seeing that the current research pays less attention to teachers' and students’ preferences for the space environment simultaneously, based on the survey of 1937 undergraduates and 107 teachers from a university in central China, this study aims to explore their preferences for smart learning environment. Based on the ecological theory and research results of the existing learning environment, this paper constructed an ecological model and a conceptual model of learning space preferences. An empirical study was conducted to explore the impact of sociodemographic variables on personal spatial preference. The results showed that teachers and students had a positive attitude towards the smart learning environment, and gender, age, grade, subject category and other variables had limited impact on spatial preference. |
| first_indexed | 2024-03-13T07:57:12Z |
| format | Article |
| id | doaj.art-88fef85bb9544aa5a47040322f591a2c |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-13T07:57:12Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-88fef85bb9544aa5a47040322f591a2c2023-06-02T04:23:37ZengElsevierHeliyon2405-84402023-06-0196e16769Smart classroom learning environment preferences of higher education teachers and students in China: An ecological perspectiveZhicheng Dai0Junxia Xiong1Liang Zhao2Xiaoliang Zhu3National Engineering Research Center for E-Learning, Central China Normal University, Wuhan 430079, China; Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, ChinaNational Engineering Research Center for E-Learning, Central China Normal University, Wuhan 430079, China; Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China; Corresponding author. National Engineering Research Center for E-Learning, Central China Normal University, Wuhan 430079, China.National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan 430079, China; Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, ChinaNational Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan 430079, China; Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, ChinaBy evaluating learners' perceived preferences for the learning environment, we can understand the important characteristics and better improve the learning environment, ultimately to provide great potential for the optimization of teaching practice. Seeing that the current research pays less attention to teachers' and students’ preferences for the space environment simultaneously, based on the survey of 1937 undergraduates and 107 teachers from a university in central China, this study aims to explore their preferences for smart learning environment. Based on the ecological theory and research results of the existing learning environment, this paper constructed an ecological model and a conceptual model of learning space preferences. An empirical study was conducted to explore the impact of sociodemographic variables on personal spatial preference. The results showed that teachers and students had a positive attitude towards the smart learning environment, and gender, age, grade, subject category and other variables had limited impact on spatial preference.http://www.sciencedirect.com/science/article/pii/S2405844023039762Smart classroomLearning environment preferencesHigher educationTeachers and studentsEcological |
| spellingShingle | Zhicheng Dai Junxia Xiong Liang Zhao Xiaoliang Zhu Smart classroom learning environment preferences of higher education teachers and students in China: An ecological perspective Heliyon Smart classroom Learning environment preferences Higher education Teachers and students Ecological |
| title | Smart classroom learning environment preferences of higher education teachers and students in China: An ecological perspective |
| title_full | Smart classroom learning environment preferences of higher education teachers and students in China: An ecological perspective |
| title_fullStr | Smart classroom learning environment preferences of higher education teachers and students in China: An ecological perspective |
| title_full_unstemmed | Smart classroom learning environment preferences of higher education teachers and students in China: An ecological perspective |
| title_short | Smart classroom learning environment preferences of higher education teachers and students in China: An ecological perspective |
| title_sort | smart classroom learning environment preferences of higher education teachers and students in china an ecological perspective |
| topic | Smart classroom Learning environment preferences Higher education Teachers and students Ecological |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023039762 |
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