A model for assessing student satisfaction with smart classroom environment in higher education.
Background: Smart classroom environment has drawn worldwide attention, however, there is still a lack of studies that can explore and analyse potential factors, which affect students' satisfaction with smart classrooms in higher education. Objectives: To assess students' satisfaction with smart clas...
| Publicado en: | Journal of Computer Assisted Learning Vol. 40; no. 6; pp. 2901 - 2917 |
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| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Dec2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=180899677&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180899677 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Dec2024 vid: 40 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 180899677 178583263 180899677 180899677 10.1111/jcal.13045 180899677 ppf: 2901 ppct: 16 formats: tig: atl: A model for assessing student satisfaction with smart classroom environment in higher education. aug: au: Dai, Zhicheng Wang, Ling Peng, Xian Zhao, Liang Xiong, Junxia affil: National Research and Engineering Center for E‐learning, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan Hubei,, China sug: subj: Students, College Psychosocial Factors Educational Technology Psychosocial Factors Learning Environment Psychosocial Factors Student Satisfaction Evaluation China Human Structural Equation Modeling Student Attitudes Questionnaires Descriptive Statistics Male Female Adolescence Adult Unpaired T-Tests One-Way Analysis of Variance Summated Rating Scaling Chi Square Test Data Analysis Software Criterion-Related Validity Discriminant Validity Internal Consistency Factor Analysis Construct Validity Funding Source Adolescent: 13-18 years Adult: 19-44 years Male Female ab: Background: Smart classroom environment has drawn worldwide attention, however, there is still a lack of studies that can explore and analyse potential factors, which affect students' satisfaction with smart classrooms in higher education. Objectives: To assess students' satisfaction with smart classrooms in higher education, this study proposed the smart classroom environment satisfaction model based on TAM and ACSI models. Methods: A sample of 1979 Chinese college students who studied in a smart classroom environment completed a survey assessing student satisfaction with the smart classroom environment. And a structural equation modelling analysis was used to further analyse students' preferences for smart classroom environments. Results and conclusions: The results showed that student satisfaction with smart classroom environment is significantly correlated with subjective perception factors after use, such as students' perceived value (PV), user experience and perceived expectations (PE). It indicated that user experience indirectly affected overall satisfaction (OS) through its positive impact on PV, while PE indirectly affected OS through its positive impact on user experience. Second, user experience had the greatest impact on student satisfaction, followed by PV and PE. This study is a theoretical supplement to future research on smart classroom environment in higher education, and can also provide reference for relevant government departments, universities and enterprises to build and manage smart classroom environment. Lay Description: What is already known about this topic?: Smart classrooms can combine technology with the goal of providing students with the highest educational services.This technology‐rich smart classroom environment provides unique opportunities for students to search, acquire, analyse and apply digital learning resources and tools in autonomous learning, collaborative learning, and exploratory learning activities.Although smart classrooms have played a certain role in the above aspects, it has invested a large amount of money to build the most advanced facilities, without considering student perspectives. What the paper adds?: This study investigates the satisfaction factors and preferences of 1979 college students to evaluate the smart classroom environment supported by technology.This study proposed the smart classroom environment satisfaction model, and a structural equation modelling analysis was used to further analyse students' preferences for smart classroom environmentsStudent satisfaction with smart classroom environment is significantly correlated with subjective perception factors after use, such as students' perceived value, user experience and perceived expectations. Implications for practice and/or policy: In order to improve students' satisfaction with the smart classroom environment, more attention needs to be paid to improving their actual user experience.Whether students can receive timely learning support and whether there is interaction in the classroom is worth special consideration to improve their user experience. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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