Abstract
PurposeThe purpose of this study was to examine the relationship between factors in the extended technology acceptance model (TAM) model and teachers' self-efficacy in remote teaching during the COVID-19 pandemic. In addition, the authors sought to listen to classroom teachers as they expressed their unbiased views of the advantages, disadvantages and challenges of teaching remotely during the COVID-19 pandemic.Design/methodology/approachA survey was employed to examine the relationship between factors in the extended TAM model and teachers' self-efficacy in remote teaching during the COVID-19 pandemic using the 49-item questionnaire. A multiple regression analysis using a stepwise procedure was used to examine the relationship between factors in the extended TAM model and teachers' self-efficacy. Three open-ended questions closely examined remote teaching during the pandemic, related to challenges, advantages and disadvantages.FindingsQualitative findings challenges included Internet connection, lack of interaction and communication and challenges with motivation and student engagement. Disadvantages included teachers’ level of self-efficacy in using technology to teach, lack of support and resources to teach online and the struggle to motivate and engage students. Perceived benefits included flexibility for the teacher and differentiation, rich resources and a way to support learners when in-person instruction is not possible.Research limitations/implicationsThe data suggest that instead, during COVID-19, many teachers were learning about the platforms simultaneously as they were instructing students.Practical implicationsTo ensure quality remote instruction and that students receive the support to make instruction equitable, teachers need to perceive that their instructional technology needs are met to focus on teaching, learning and needs of their students.Social implicationsTeachers need opportunities to explore the platforms and to experience success in this environment before they are exposed to the high stakes of preparing students to meet K-12 standards.Originality/valueInstructional delivery has not explored teacher motivational and instructional teaching self-efficacy related to satisfaction with the learning management system (LMS).
Highlights
The purpose of this study was to examine the relationship between factors in the extended technology acceptance model (TAM) model and teachers’ self-efficacy in remote teaching during the COVID-19 pandemic
This teaching selfefficacy during pandemic information was especially critical during the COVID-19 pandemic, when teachers were thrust into remote instruction without preparation, as they scrambled to use various remote learning platforms
Purpose of the study The purpose of this study was to examine the relationship between factors in the extended TAM model and teachers’ self-efficacy in remote teaching during the COVID-19 pandemic
Summary
The purpose of this study was to examine the relationship between factors in the extended technology acceptance model (TAM) model and teachers’ self-efficacy in remote teaching during the COVID-19 pandemic. Design/methodology/approach – A survey was employed to examine the relationship between factors in the extended TAM model and teachers’ self-efficacy in remote teaching during the COVID-19 pandemic using the 49-item questionnaire. Developed the extended technology acceptance model (TAM) We used this model to examine the relationship between perceived usefulness and teachers’ remote teaching self-efficacy. Vankatesh and Davis (2000) examined how the perceived usefulness and usage intention construct changed with continued information system (IS) usage This teaching selfefficacy during pandemic information was especially critical during the COVID-19 pandemic, when teachers were thrust into remote instruction without preparation, as they scrambled to use various remote learning platforms. Recent studies employing the TAM model have shown the perceived usefulness and ease of use to be significant predictors of technology (Cheung and Huang, 2005; Teo et al, 2008)
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