Students' Adoption of Google Classroom Investigated by Technology Acceptance Model

نویسندگان

چکیده

Educational institutions in Bangladesh had to stop face-to-face educational activities during the COVID-19 pandemic. Institutions accepted online classes as only alternative for conducting activities. Teachers and students transitioned from medium by using a Learning Management System (LMS). Google Classroom has evolved an LMS this period. This study uses quantitative research methodology focus on students' adoption of higher education modified version Technology Acceptance Model (TAM). In particular, aims identify factors affecting university behavioural intention towards LMS. The revised LMS-TAM model was used with prediction like perceived usefulness, ease use, intent, enjoyment, subjective norm, satisfaction, interactivity control. A questionnaire developed experts' opinions distributed respondents. 185 different disciplines gave responses questionnaire. set recommendations are formulated based statistical results. researchers hopeful that institutions, teachers, technical support staff, instructional designers policymakers will benefit study.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Predicting Public Bicycle Adoption Using the Technology Acceptance Model

Bicycle sharing programs provide a sustainable mode of urban transportation. Although cities across the globe have developed these systems for their citizens and visitors, usage rates are not as high as anticipated. This research uses the technology acceptance model as the basis to understand one’s intention to adopt bicycle sharing programs. Using survey data derived from 421 participants in B...

متن کامل

Household Technology Acceptance: Heterogeneity in Computer Adoption

Technology policy analysis and implementation relies on knowledge and understanding of the " adoption gap " in information technologies among different groups of consumers. Factors that explain the residential " digital divide " also need to be identified and quantified. Through the application of survey data we provide an enhanced understanding of the key factors involved in the choice of resi...

متن کامل

Extending the Technology Acceptance Model for Adoption of E- Shopping by Consumers in Turkey

The Technology Acceptance Model (TAM) is a very important modelling approach in information technology research. In this study, an attempt is made to explain consumer acceptance of e-shopping by means of an extended model based on TAM. Perceived trust, perceived enjoyment, perceived information quality, perceived system quality and perceived service quality factors are added to the classical TA...

متن کامل

Factors Affecting E-Learning Acceptance among Students of Tehran University of Medical Sciences Based on Technology Acceptance Model (TAM)

Introduction: Application of information technology in educational systems is an active program and educational process, which illustrates modern education in the third millennium. Meanwhile, prior to its application, there should be an effort to identify the effective factors on the acceptance, efficiency, utilization and use of this phenomenon. Therefore, this study aimed to investigate the f...

متن کامل

Exploring students acceptance of e-learning using Technology Acceptance Model in Jordanian universities

Today’s rapid changing world highlights the influence and impact of technology in all aspects of learning life. Higher Education institutions in developed Western countries believe that these developments offer rich opportunities to embed technological innovations within the learning environment. This places developing countries, striving to be equally competitive in international markets, unde...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: MIER Journal of Educational Studies, Trends and Practices

سال: 2023

ISSN: ['2319-1945', '0976-8203']

DOI: https://doi.org/10.52634/mier/2023/v13/i1/2337