سمینار های آماده

این پروژه یک مقاله آماده با موضوع، ارزیابی پذیرش آموزش سیار در بین کاربران با استفاده از مدل پذیرش فناوری (TAM) در ۸ صفحه ورد می باشد. در ادامه چکیده ای از این مقاله را خواهیم داشت: چکیده: ABSTRACT Today, with the rapid expansion of 4G, 5G and wireless communication networks, these technologies employed in many fields globally, especially in education. The Covid-19 pandemic outbreak in 2020 increased the utilization of this technology in pedagogy and/or education. The application of mobile learning (M-learning) leads to overcoming the limitations and barriers of traditional classroom learning. However, advances in emerging technologies cannot increase performance unless accepted by end users. Since M-learning in Iran has yet to gain root; the M-learning’s end-user acceptance seems vital to be understood. The purpose of this paper was examine how mobile users understand as a learning tool in online classes (for the first time) and in this regard, students' attitudes toward M-learning have been evaluated. The motivational factors affecting users' acceptance of M-learning have also been studied. The method of this paper was deductive approach, theory test and Technology Acceptance Model (TAM) for predicting and interpreting acceptance before adapting it to the cases studied. The raw data were collected through questionnaires along with semi-structured interviews. The collected data via questionnaires were analyzed by means of structural equation modelling (SEM). The 8 variables were included in the TAM proposed model: Perceived Usefulness (PU), Perceived Mobility Value (PMV), Perceived Social Interaction Value (PSIV), Perceived Enjoyment (PE), Perceived Ease of Use (PEOU), Perceived Output Quality (POQ), Attitude Toward Using (ATT) and Behavioral Intention (BI). The outcomes of this study revealed PMV has the greatest impact (0.406) on PU and this indicates the students' emphasis on Perceived Mobility Value. POQ (0.261) and PEOU (0.231) then positively effects on PU. There was also a positive relationship between PSIV and PU (0.213). But the lowest effect was related to the PEx variable (0.126). We conclude that user's attitude had a greater impact on users' intentions. Also, user's behavioural intent was affected by both attitude and perceived usefulness. The results further revealed that M-learning is accepted among users to an acceptable level and users tend to use this technology to learn. Keywords: Technology acceptance model (TAM), Mobile learning (M-learning), End-user acceptance, Students