{"title":"Linking task-technology fit, innovativeness, and teacher readiness using structural equation modelling","authors":"","doi":"10.1007/s10639-023-12440-x","DOIUrl":null,"url":null,"abstract":"<h3>Abstract</h3> <p>Digital technologies promote active, interactive, collaborative, and immersive learning but the challenge of how to prepare teachers effectively for digital technology utilisation in the instructional process remains a pertinent problem for education institutions. Guided by task-technology fit theory, this research delves into technology use by teachers and argues that efficacy of utilisation is contingent on technology compatibility with teachers’ tasks. Using the context of wearable technology, this research examines the links between task-technology fit, teaching innovativeness, and teacher readiness to use wearables in teaching. 346 survey responses from physical education teachers in Kuwait were analysed using partial least squares structural equation modelling. The analysis evaluates hypothesised relationships and considers the roles of task and technology characteristics, information and communication technology proficiency, and attitudes towards co-creation. The survey results suggest that there is a strong correlation between task-technology fit, teaching innovativeness, and teacher readiness. Furthermore, the results provide empirical evidence that task and technology characteristics positively relate to task-technology fit, while technology proficiency and attitudes towards co-creation positively relate to teaching innovativeness. The findings carry theoretical implications related to factors influencing task-technology fit and its relationship with teaching innovativeness. In practical terms, the findings advise supporting teachers’ digital skills and integrating fit considerations into education technology selection. Overall, this study provides added value to theory by positing that teacher readiness can be explained by both task-technology fit and teacher innovativeness. This readiness context changes the dynamics of constructs within task-technology fit theory – creating a stronger relationship between technology characteristics and task-technology fit.</p>","PeriodicalId":51494,"journal":{"name":"Education and Information Technologies","volume":"1 1","pages":""},"PeriodicalIF":4.8000,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Education and Information Technologies","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1007/s10639-023-12440-x","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
Digital technologies promote active, interactive, collaborative, and immersive learning but the challenge of how to prepare teachers effectively for digital technology utilisation in the instructional process remains a pertinent problem for education institutions. Guided by task-technology fit theory, this research delves into technology use by teachers and argues that efficacy of utilisation is contingent on technology compatibility with teachers’ tasks. Using the context of wearable technology, this research examines the links between task-technology fit, teaching innovativeness, and teacher readiness to use wearables in teaching. 346 survey responses from physical education teachers in Kuwait were analysed using partial least squares structural equation modelling. The analysis evaluates hypothesised relationships and considers the roles of task and technology characteristics, information and communication technology proficiency, and attitudes towards co-creation. The survey results suggest that there is a strong correlation between task-technology fit, teaching innovativeness, and teacher readiness. Furthermore, the results provide empirical evidence that task and technology characteristics positively relate to task-technology fit, while technology proficiency and attitudes towards co-creation positively relate to teaching innovativeness. The findings carry theoretical implications related to factors influencing task-technology fit and its relationship with teaching innovativeness. In practical terms, the findings advise supporting teachers’ digital skills and integrating fit considerations into education technology selection. Overall, this study provides added value to theory by positing that teacher readiness can be explained by both task-technology fit and teacher innovativeness. This readiness context changes the dynamics of constructs within task-technology fit theory – creating a stronger relationship between technology characteristics and task-technology fit.
期刊介绍:
The Journal of Education and Information Technologies (EAIT) is a platform for the range of debates and issues in the field of Computing Education as well as the many uses of information and communication technology (ICT) across many educational subjects and sectors. It probes the use of computing to improve education and learning in a variety of settings, platforms and environments.
The journal aims to provide perspectives at all levels, from the micro level of specific pedagogical approaches in Computing Education and applications or instances of use in classrooms, to macro concerns of national policies and major projects; from pre-school classes to adults in tertiary institutions; from teachers and administrators to researchers and designers; from institutions to online and lifelong learning. The journal is embedded in the research and practice of professionals within the contemporary global context and its breadth and scope encourage debate on fundamental issues at all levels and from different research paradigms and learning theories. The journal does not proselytize on behalf of the technologies (whether they be mobile, desktop, interactive, virtual, games-based or learning management systems) but rather provokes debate on all the complex relationships within and between computing and education, whether they are in informal or formal settings. It probes state of the art technologies in Computing Education and it also considers the design and evaluation of digital educational artefacts. The journal aims to maintain and expand its international standing by careful selection on merit of the papers submitted, thus providing a credible ongoing forum for debate and scholarly discourse. Special Issues are occasionally published to cover particular issues in depth. EAIT invites readers to submit papers that draw inferences, probe theory and create new knowledge that informs practice, policy and scholarship. Readers are also invited to comment and reflect upon the argument and opinions published. EAIT is the official journal of the Technical Committee on Education of the International Federation for Information Processing (IFIP) in partnership with UNESCO.