Technology Adoption and Teaching performance: “A Moderating Role Age”

Dipak Mahat
{"title":"Technology Adoption and Teaching performance: “A Moderating Role Age”","authors":"Dipak Mahat","doi":"10.59890/ijmbi.v2i1.1254","DOIUrl":null,"url":null,"abstract":"Digital Skills Vs Experience: An Age-Driven Investigation of IT and Teacher Performance,\" explores the intricate interplay between age, information technology (IT), and teaching performance in the context of education. The study used an exploratory approach and used a structured questionnaire with a five-point scale to get first-hand information from 470 different teaching faculty members in Kathmandu Valley. To preserve participant secrecy and anonymity, ethical issues were crucial. The research methodology used powerful data analysis techniques that include correlation, ANOVA, and regression, as well as descriptive statistics. The study's model overview shows that Model H₁ is good at predicting how well teachers will do, as it explains 72.1% of the variation. The ANOVA test shows how important age and IT are as predictors of teaching success together. Regression analysis shows that both age and IT can be used as indicators, with IT having a much bigger effect. Part and partial connections provide more information about how age and IT are connected. This study fills in a gap in existing information about how well faculty members in Kathmandu Valley teach by focusing on the impact of age on their adoption and use of technology. It shows humanity a lot about how age, IT, and teaching ability change over time. This has important implications for educational policy, professional development, and using technology in the classroom.","PeriodicalId":512186,"journal":{"name":"International Journal of Management and Business Intelligence","volume":"22 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Management and Business Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59890/ijmbi.v2i1.1254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Digital Skills Vs Experience: An Age-Driven Investigation of IT and Teacher Performance," explores the intricate interplay between age, information technology (IT), and teaching performance in the context of education. The study used an exploratory approach and used a structured questionnaire with a five-point scale to get first-hand information from 470 different teaching faculty members in Kathmandu Valley. To preserve participant secrecy and anonymity, ethical issues were crucial. The research methodology used powerful data analysis techniques that include correlation, ANOVA, and regression, as well as descriptive statistics. The study's model overview shows that Model H₁ is good at predicting how well teachers will do, as it explains 72.1% of the variation. The ANOVA test shows how important age and IT are as predictors of teaching success together. Regression analysis shows that both age and IT can be used as indicators, with IT having a much bigger effect. Part and partial connections provide more information about how age and IT are connected. This study fills in a gap in existing information about how well faculty members in Kathmandu Valley teach by focusing on the impact of age on their adoption and use of technology. It shows humanity a lot about how age, IT, and teaching ability change over time. This has important implications for educational policy, professional development, and using technology in the classroom.
技术应用与教学绩效:"起调节作用的年龄"
数字技能与经验:由年龄驱动的信息技术与教师绩效调查 "探讨了教育领域中年龄、信息技术(IT)和教学绩效之间错综复杂的相互作用。该研究采用探索性方法,通过五点量表的结构化问卷,从加德满都谷地的 470 名不同教职员工那里获得了第一手资料。为了保护参与者的隐私和匿名性,伦理问题至关重要。研究方法采用了强大的数据分析技术,包括相关分析、方差分析、回归分析以及描述性统计。研究的模型概述显示,模型 H₁很好地预测了教师的工作表现,因为它解释了 72.1%的变异。方差分析测试表明,年龄和信息技术在共同预测教学成功方面有多么重要。回归分析表明,年龄和信息技术都可以作为指标,而信息技术的影响更大。部分联系和部分联系提供了更多关于年龄和信息技术之间联系的信息。本研究通过关注年龄对教师采用和使用技术的影响,填补了现有信息中关于加德满都谷地教师教学效果的空白。它向人类展示了年龄、信息技术和教学能力是如何随着时间的推移而变化的。这对教育政策、专业发展和在课堂上使用技术具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信