scholarly journals PRE-SERVICE STUDENT TEACHERS’ PERCEPTION OF USING GOOGLE CLASSROOM IN A BLENDED COURSE

2019 ◽  
Vol 7 (2) ◽  
pp. 363-368
Author(s):  
Muhammad Luthfi Hidayat ◽  
Wibowo Heru Prasetiyo ◽  
Jan Wantoro

Purpose of the study: The strategic and learning media course in the Informatics Engineering Education department for pre-service student teachers apply a blended learning method. The purpose of this method is to integrate between face-to-face meetings in the classroom and distance learning by using internet-based Learning Management System (LMS) media. This study aims to determine the perceptions of the informatics’ pre-service student teacher, which utilize the Google Classroom LMS. Methodology: The research method used online questionnaires and divergent questionnaires were analyzed with the Technology Acceptance Model (TAM) approach and descriptive statistics. The factor analysis included the ease of access, perception of usefulness, communication and interaction, a perception of lecture delivery, student comfortability, and the effectiveness of the Google Classroom LMS. Main Findings: The results showed that most students felt the ease and improvement of the quality of the blended lectures using Google Classroom, although several notes needed further improvement and evaluation. Practical Implications: The findings suggest that the stakeholders of teacher training and education faculty could measure the level of perceivers and readiness of their pre-service student teachers on using Google Classroom in a blended-setting course. Further, the pre-service student teachers have experience in using this LMS so that they could apply this learning model for their students. Novelty/Originality of this study: This article found that students feel the satisfaction of using Google Classroom as an active and independent learning tool. This study also demonstrated consistency based on observations, surveys, and analysis of college students’ perceptions that the design of blended learning by using Google Classroom is still beneficial to the success of reaching the course outcomes.

2019 ◽  
Vol 17 (2) ◽  
pp. 51
Author(s):  
Elistya Rimawati ◽  
Wawan Laksito Yuly Saptomo

The Blended Learning learning model is a system that collaborates classroom face-to-face learning with online learning. This study aims to measure the acceptance of the Blended Learning learning model among students. The variables developed refer to the Technology Acceptance Model (TAM), which is a model of user acceptance of information systems. The data obtained were analyzed by descriptive statistics and qualitative analysis. The results showed that in general the use of the Blended Learning learning model could be accepted by students in the category of Good approaching is Very Good. The mean value of all aspects reached a value of 3.94 on a scale of 5 (79%). The results of qualitative analysis were in line with the results of quantitative analysis. Students received good use of e-Learning while maintaining face-to-face learning activities in class. The results of this study can be used as a basis for recommending the selection of learning methods in universities


Author(s):  
Hind Rasheed Alqirnas

Virtual classrooms are online environments that enable students and teachers to interact as if they were face to face in real classes. It seeks to develop the efficiency and quality of teaching and learning. However, using virtual classrooms as an alternative of real classes is relatively new in Saudi universities. The study explores students' perception of virtual classrooms as an alternative of real classes. The technology acceptance model is used as a theoretical framework to explain students' acceptance or rejection of virtual classrooms as an alternative to real classes. The questionnaire is distributed online to all female students of the College of Education, and the responses are 289. Data were analyzed using descriptive statistics, correlation analysis, and linear regression analysis. The results showed that perceived usefulness is a significant factor that positively influences students' Attitude toward virtual classrooms that intend to use it in the future


Author(s):  
Fouad Omran Elgahwash

Self-service banking technology (SSBT) allow customers to perform services on their own without direct assistance from staff. This study focuses on factors affecting the value of adopting self-Service banking technology (SSBT) among customers. It is believed that the successful usage of self-service banking technology will be increasingly advantageous for all (banks & customers). This chapter's purpose is an extension to the technology acceptance model (TAM) and views customer responses to technology as an integrated part of SSBT. The sample used for this study was selected from users of banks in both Libya and Australia, with a total size of 141 respondents. Reliability and validity of the data collection instrument was tested using Cronbach Alpha. Descriptive and regression tests for data analysis were used. The domains in which subjects were tested were “ease of use of SSBT”, “Usefulness of SSBT”, “Quality of SSBT”, “privacy of information” and “Trust of SSBT”.


Author(s):  
Goh Lay Huah

This action research reports the experiences of introducing blended learning in the delivery of a post-graduate course to students in the university. The research conceptual framework is adapted from the technology acceptance model. The objective is to assess the level of acceptance of online learning and to document the attempts of the facilitator to create an independent, student-directed, and student-centered learning environment. This is the fourth quadrant learning typology. The research participants were a group of Masters in Education students who registered for the course “Strategies for Teaching and Learning.” Blended learning was introduced as a variant from the standard face-to-face instruction. This proved to be a valuable learning experience for both participants and lecturer. The perceived usefulness and perceived ease of use of online learning was not matched with the behavioral intention.


Author(s):  
Sevenpri Candra ◽  
Steffani Steffani ◽  
Klaudiya Klaudiya ◽  
Iva Sutiana

In Indonesia, the use of social media has been increased. Many factors are related to support the use of social media. This research aims to prove the affects between quality of life, social exchange, and technology acceptance model, which is based on previous research by adding privacy concern as moderating variable. This research conducted by distributing online questionnaires to the citizen that using social media in Indonesia. This research used Structural Equation Modeling as analysis method with software WarpPLS 5.0 as statistic tools. Data were collected from online questionnaires and the total of sample are 440 respondents. The result for this research shows that quality of life affects social exchange, which also affects to technology acceptance model and results to actual use of social media while the variable of privacy concern doesn't prove as moderating variable. As the result of the study, researchers suggest to the organizations that provide social media to pay attention to quality of life that will motivate someone to using social media.


Author(s):  
Gulnoza Usmanova ◽  
Ashley Gresh ◽  
Megan A. Cohen ◽  
Young-Mi Kim ◽  
Ashish Srivastava ◽  
...  

The evolving field of mobile health (mHealth) is revolutionizing collection, management, and quality of clinical data in health systems. Particularly in low- and middle-income countries (LMICs), mHealth approaches for clinical decision support and record-keeping offer numerous potential advantages over paper records and in-person training and supervision. We conducted a content analysis of qualitative in-depth interviews using the Technology Acceptance Model 3 (TAM-3) to explore perspectives of providers and health managers in Madhya Pradesh and Rajasthan, India who were using the ASMAN (Alliance for Saving Mothers and Newborns) platform, a package of mHealth technologies to support management during the peripartum period. Respondents uniformly found ASMAN easy to use and felt it improved quality of care, reduced referral rates, ensured timely referral when needed, and aided reporting requirements. The TAM-3 model captured many determinants of reported respondent use behavior, including shifting workflow and job performance. However, some barriers to ASMAN digital platform use were structural and reported more often in facilities where ASMAN use was less consistent; these affect long-term impact, sustainability, and scalability of ASMAN and similar mHealth interventions. The transitioning of the program to the government, ensuring availability of dedicated funds, human resource support, and training and integration with government health information systems will ensure the sustainability of ASMAN.


2020 ◽  
pp. 016555152091851 ◽  
Author(s):  
A Y M Atiquil Islam ◽  
Khurshid Ahmad ◽  
Muhammad Rafi ◽  
Zheng JianMing

The concept of big data has been extensively considered as a technological modernisation in organisations and educational institutes. Thus, the purpose of this study is to determine whether the modified technology acceptance model (MTAM) is viable for evaluating the performance of librarians in the use of big data analytics in academic libraries. This study used an empirical research method for collecting data from 211 librarians working in Pakistan’s universities. On the basis of the findings of the MTAM analysis by structural equation modelling, the performances of the academic libraries were comprehended through the process of big data. The main influential components of the performance analysis in this study were the big data analytics capabilities, perceived ease of access and the usefulness of big data practices in academic libraries. Subsequently, the utilisation of big data was significantly affected by skills, perceived ease of access and the usefulness of academic libraries. The results also suggested that the various components of the academic libraries lead to effective organisational performance when linked to big data analytics.


Sign in / Sign up

Export Citation Format

Share Document