• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

高中生对移动技术在数学学习中的接受与使用情况

High school students' acceptance and use of mobile technology in learning mathematics.

作者信息

Açıkgül Kübra, Şad Süleyman Nihat

机构信息

Department of Mathematics Education, Faculty of Education, İnonu University, Malatya, Turkey.

Department of Curriculum and Instruction, Faculty of Education, İnonu University, Malatya, Turkey.

出版信息

Educ Inf Technol (Dordr). 2021;26(4):4181-4201. doi: 10.1007/s10639-021-10466-7. Epub 2021 Feb 27.

DOI:10.1007/s10639-021-10466-7
PMID:33679206
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7912965/
Abstract

The purpose of this research is to investigate factors affecting the acceptance and use of mobile technology in learning mathematics based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. The study group comprised of 1640 students attending different types of high schools and grade levels. The results of the study revealed both direct and indirect effects of exogenous variables on Behavioral Intention and Use Behavior in mobile technology acceptance of high school students in learning mathematics. It was also found that the theoretical model was confirmed adequately based on the regression coefficients, the significance of the regression coefficients, and the goodness of fit indices obtained from the SEM analysis. The strongest predictors of Behavioral Intention were Hedonic Motivation and Habit, respectively. Exogenous variables of the study together explained 76% of the variance in Behavioral Intention and 13% of the variance in Use Behavior.

摘要

本研究的目的是基于技术接受与使用统一理论2(UTAUT2)模型,调查影响移动技术在数学学习中接受度和使用情况的因素。研究小组由1640名就读于不同类型高中和不同年级的学生组成。研究结果揭示了外生变量对高中生在数学学习中移动技术接受度方面的行为意向和使用行为的直接和间接影响。研究还发现,基于结构方程模型(SEM)分析得到的回归系数、回归系数的显著性以及拟合优度指标,该理论模型得到了充分验证。行为意向的最强预测因素分别是享乐动机和习惯。该研究的外生变量共同解释了行为意向中76%的方差变异以及使用行为中13%的方差变异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cac8/7912965/7afe8636b295/10639_2021_10466_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cac8/7912965/04b6e43d7680/10639_2021_10466_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cac8/7912965/3b08534ebef8/10639_2021_10466_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cac8/7912965/7afe8636b295/10639_2021_10466_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cac8/7912965/04b6e43d7680/10639_2021_10466_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cac8/7912965/3b08534ebef8/10639_2021_10466_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cac8/7912965/7afe8636b295/10639_2021_10466_Fig3_HTML.jpg

相似文献

1
High school students' acceptance and use of mobile technology in learning mathematics.高中生对移动技术在数学学习中的接受与使用情况
Educ Inf Technol (Dordr). 2021;26(4):4181-4201. doi: 10.1007/s10639-021-10466-7. Epub 2021 Feb 27.
2
Factors affecting the acceptance of blended learning in medical education: application of UTAUT2 model.影响医学教育中混合式学习接受度的因素:UTAUT2模型的应用
BMC Med Educ. 2020 Oct 16;20(1):367. doi: 10.1186/s12909-020-02302-2.
3
Anatomy in the metaverse: Exploring student technology acceptance through the UTAUT2 model.元宇宙中的解剖学:通过UTAUT2模型探索学生对技术的接受度
Anat Sci Educ. 2024 Mar;17(2):319-336. doi: 10.1002/ase.2353. Epub 2023 Nov 9.
4
Factors influencing graduate students' behavioral intention to use Google Classroom: Case study-mixed methods research.影响研究生使用谷歌课堂行为意向的因素:案例研究——混合方法研究
Educ Inf Technol (Dordr). 2022;27(7):10035-10063. doi: 10.1007/s10639-022-11051-2. Epub 2022 Apr 11.
5
Factors predicting University students' behavioral intention to use eLearning platforms in the post-pandemic normal: an UTAUT2 approach with 'Learning Value'.预测大学生在疫情后常态化下使用电子学习平台行为意向的因素:采用包含“学习价值”的UTAUT2模型
Educ Inf Technol (Dordr). 2022;27(9):12065-12082. doi: 10.1007/s10639-022-11116-2. Epub 2022 May 25.
6
Mobile learning acceptance in social distancing during the COVID-19 outbreak: The mediation effect of hedonic motivation.COVID-19疫情期间社交距离下移动学习的接受度:享乐动机的中介作用。
Hum Behav Emerg Technol. 2021 Jul;3(3):366-378. doi: 10.1002/hbe2.261. Epub 2021 May 24.
7
Extension of the Unified Theory of Acceptance and Use of Technology 2 model for predicting mHealth acceptance using diabetes as an example: a cross-sectional validation study.扩展技术接受和使用统一理论模型 2 以预测移动健康接受度:以糖尿病为例的横断面验证研究。
BMJ Health Care Inform. 2022 Nov;29(1). doi: 10.1136/bmjhci-2022-100640.
8
A Model for Medical Students' Behavioral Intention to Use Mobile Learning.医学生使用移动学习的行为意向模型。
J Med Educ Curric Dev. 2020 Dec 1;7:2382120520973222. doi: 10.1177/2382120520973222. eCollection 2020 Jan-Dec.
9
Acceptance of Smart Technologies in Blended Learning: Perspectives of Chinese Medical Students.中国医学生对混合式学习中智能技术的接受度:观点
Int J Environ Res Public Health. 2023 Feb 3;20(3):2756. doi: 10.3390/ijerph20032756.
10
Understanding the predictors of health professionals' intention to use electronic health record system: extend and apply UTAUT3 model.理解健康专业人员使用电子健康记录系统意愿的预测因素:扩展和应用 UTAUT3 模型。
BMC Health Serv Res. 2024 Aug 3;24(1):889. doi: 10.1186/s12913-024-11378-1.