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The Journal of Humanities، جلد ۳۰، شماره ۴، صفحات ۵۵-۷۲

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عنوان انگلیسی Exploring Persian as a Second Language Teachers’ Acceptance of Web-based E-Learning Technology: An Extended Technology Acceptance Model
چکیده انگلیسی مقاله Since the outbreak of the COVID-19 pandemic in 2020 up to at least the beginning of 2022, e-learning has largely replaced the class teaching method in Iran. Accepting web-based learning could be effective in the continuity of this method, at least in a hybrid one, even in normal circumstances. As such, the role of teachers' perspectives in this regard should not be neglected. Due to the importance of this kind of technology in teaching a second language and the effect of teacher acceptance on the decision to use it, in this study, we examine 63 Persian as a Second language (PSL) teachers whose acceptance of Web-based e-learning technology to explore the various factors that impact their intentions to use it. This study uses the Technology Acceptance Model (TAM) as the theoretical foundation. The survey data obtained from 63 PSL teachers through previously tested and validated questionnaires are analyzed using Structural Equation Modeling with AMOS. The results suggest that the perceived usefulness (PU) directly impacts behavioral intention (BI). Then, there is the motivation to use (MU) construct and the perceived ease of use (PEU), which could indirectly affect BI. The Internet self-efficacy (ISE) construct directly affects BI. Finally, the factor of computer anxiety has a negative effect on behavioral intentions to use web-based E-learning technologies through the factor of perceived ease of use. The research results show that perceived usefulness is the most influential factor in PSL teachers' intention to use technology. It implies that PSL teachers would be more likely to continue to use Web-based E-learning technologies if they consider them useful.  
کلیدواژه‌های انگلیسی مقاله Teaching Persian as Second Language (PSL), Technology Acceptance Model (TAM), Web-based E-learning, Behavioral intention (BI), Structural Equation Modeling (SEM)

نویسندگان مقاله | Rezvan Motavallian
AssociateProfessor of Linguistics, University of Isfahan



نشانی اینترنتی http://eijh.modares.ac.ir/browse.php?a_code=A-10-73410-1&slc_lang=en&sid=27
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