scholarly journals Using the Technology Acceptance Model to Understand Attitudes about a Virtual Learning Environment for EFL Writing

2021 ◽  
Vol 15 (5) ◽  
pp. 215-227
Author(s):  
Charles Copeland ◽  
John Franzese

This quantitative case study used Venkatesh and Davis’ (2000) technology acceptance model (TAM) to understand EFL student attitudes towards using a virtual learning environment (VLE). The study surveyed 97 undergraduate students enrolled in a required English writing course. The study employed factor reduction to group the variables into the TAM. A standard multiple regression was then performed to determine the effect the variables had on the model. It was found that the perceived ease of use (EoU), output quality (OQ), and results demonstrability (RD) had a positive statistical effect on the perceived usefulness (PU). The subjective norm (SN), EoU, and PU also had a positive statistical effect on the students' intention to use (IU) the VLE for writing. The final standardized regression found a positive statistical effect from IU towards the students' usage behavior (UB). The overall results showed that the more positive a student's EoU, OQ, RD, SN, PU, and IU, the more likely a student will use and accept the VLE for writing. This usage should also help students improve their language level as well as build 4th industrial revolution skills. Teachers should consider the use of VLEs to teach or supplement EFL writing in the future.

2021 ◽  
Vol 10 (2) ◽  
pp. 1-10
Author(s):  
Robert Akinade Awoyemi ◽  
Richard Oluwadolapo Awoyemi

This paper examines the Virtual Learning Environment (VLE) in relation to its implication for academic libraries in the 21st century. It sheds light on how technological development has had major impacts in the academic library, with regards to how information is being constructed, transmitted and accessed by library users. In the course of this discourse it was deduced that students constitute a significant percentage of the academic library users. The technological development in the academic sphere has enabled ubiquitous interactions between students and teachers, in which students are enabled to learn and communicate with their teachers from remote locations, thus inducing the notion of VLE. The VLE is regarded as technological-based environment where learners are enabled to access learning outside the classroom. With the aid of VLE students are granted ownership of their learning process, thus ensuring positive learning outcomes. Finally, the Technology Acceptance Model (TAM) was employed to serve as the theoretical basis of this discourse.


2012 ◽  
Vol 3 (1) ◽  
Author(s):  
Betchie E. Aguinaldo

The proliferation of technology in various areas in our society can be compare to flowing water that supplies energy to each part of its system. In the field of education, technology pours its strength not only to the process of teaching and learning but also to the continuous improvement of delivery of education. Unfortunately, not all academic institutions are enjoying the benefits provided by technological innovations in education. Various academic institutions have been suffering for several years since the advent of technological innovations in education. Poor academic institutions are far left behind in this educational innovation. This study presented the development of Bricolage Approach of teaching using four types of ICT sustainability. Technology Acceptance Model (TAM) of Davis (1989) was adapted in this study using a customized blended learning environment tool to gauge the students’ acceptability of the Bricolage Approach of Teaching in a blended learning environment. The findings of the study resulted to the increase of students’ knowledge in e-learning tool. Furthermore, result demonstrated concrete evidence of students’ favorable acceptability of Bricolage Approach of teaching in a blended learning environment using TAM’s factor perceived usefulness, perceived ease of use, attitude towards usage and behavior intention to use.   Keywords: Bricolage approach; Bricola; Blended learning; Technology Acceptance Model (TAM)


Author(s):  
Noor Lela Ahmad Et.al

Virtual Learning Environment (VLE) is rapidly becoming an important educational model for teaching and learning purposes. This study aims to explore the factors that influence the use and acceptance of VLE among Malaysian accounting teachers in teaching the accounting subject. This study adapts the Technology Acceptance Model (TAM) and the Theory of Reasoned Action (TRA) to improve the understanding of factors that influence the usage of VLE.  The study is descriptive in nature and was conducted using a quantitative approach.Researchrespondentswho participated in this studyconsist of 156accounting teachers from urban and ruralMalaysiangovernment schools. Data were analyzed using the descriptive analysis to measure mean, percentages, frequency and standard deviations. Descriptive statistical analysis indicated that accounting teachers have positive perceptions and highly motivated towards using VLE tools in teaching and learning accounting.However, the frequency of using Frog VLE among teachers is still at a low level. Furthermore, the result shows thatcomplete infrastructure facilities and teachers’ interests have a significant effect on the use and acceptance of Frog VLE. It is concluded that teachers are able to conduct flexible teaching and learning using Frog VLE application if resources are available, appropriate technology and continuous supports are providedby all parties responsible for the integration of ICT in teaching and learning accounting. More importantly, teachers need to be given ongoing training and motivation to promote and improve their skills to use the latest technology toencourage effective educational processes.


Author(s):  
Ana Haziqah A Rashid ◽  
Nurbiha A Shukor ◽  
Zaidatun Tasir ◽  
Kew Si Na

The current trend of education is towards the implementation of technology in teaching in order to attract the attention of 21st century learners whereby teachers need to adopt technology-enhanced environment such as the Virtual Learning Environment (VLE) in their teaching. This study aims to investigate the teachers’ perceptions and tendency to use VLE as a tool for teaching. The teachers’ perceptions were investigated based on the main constructs of the Technology Acceptance Model (TAM). The respondents were 178 teachers in southern state of Malaysia. The data were collected using a questionnaire and it is validated through the use of Rasch model. The finding was found that the teachers were moderately ready to use VLE and they moderately accepted the implementation of the VLE (mean=3.67 and 3.65). Besides that, the teachers felt that the VLE was useful (mean=3.58) and was easy to use (mean=3.34). It was also found that 84.2% of the teachers’ acceptance was influenced by the teachers’ readiness, and the teachers’ perceptions of the usefulness and ease of using the VLE in teaching. Therefore, it can be concluded that Malaysian teachers has intention to use VLE in their teaching. The use of VLE can improve the innovative way of teaching that can increase students’ interest in constructing knowledge through their learning process.


2021 ◽  
Vol 13 (17) ◽  
pp. 9923
Author(s):  
Shaofeng Wang ◽  
Gaojun Shi ◽  
Mingjie Lu ◽  
Ruyi Lin ◽  
Junfeng Yang

A smart learning environment, featuring personalization, real-time feedback, and intelligent interaction, provides the primary conditions for actively participating in online education. Identifying the factors that influence active online learning in a smart learning environment is critical for proposing targeted improvement strategies and enhancing their active online learning effectiveness. This study constructs the research framework of active online learning with theories of learning satisfaction, the Technology Acceptance Model (TAM), and a smart learning environment. We hypothesize that the following factors will influence active online learning: Typical characteristics of a smart learning environment, perceived usefulness and ease of use, social isolation, learning expectations, and complaints. A total of 528 valid questionnaires were collected through online platforms. The partial least squares structural equation modeling (PLS-SEM) analysis using SmartPLS 3 found that: (1) The personalization, intelligent interaction, and real-time feedback of the smart learning environment all have a positive impact on active online learning; (2) the perceived ease of use and perceived usefulness in the technology acceptance model (TAM) positively affect active online learning; (3) innovatively discovered some new variables that affect active online learning: Learning expectations positively impact active online learning, while learning complaints and social isolation negatively affect active online learning. Based on the results, this study proposes the online smart teaching model and discusses how to promote active online learning in a smart environment.


2018 ◽  
Vol 7 (3.30) ◽  
pp. 507
Author(s):  
Rahimah K ◽  
A H Nor Aziati ◽  
Adnan H.B ◽  
Latipah N ◽  
Maizurah A

The use of Virtual Learning Environment (VLE) in academic institutions is becoming an imperative for many institutions. The growth of the advanced education system now is depending on the increased of Virtual Learning Environment (VLE) technology utilization. Education institution communities are encouraged to adopt a variety of VLE technology to support the process of teaching and learning.  The objective of this research is to measure perspective of VLE acceptance among lecturers in the context of Moodle application by using data from 541 lecturers at selected Higher Education Institutions. A framework of research constructed based on a comprehensive study on the theory of service quality and the Technology Acceptance Model (TAM). Eight factors hypothesized which consist of five independent variables; organization support, knowledge support, technical assistance, system characteristics and lecturer style and innovation, two belief variables; perceived usefulness and perceived ease of use and one dependent variable;  behavioral intention to use the VLE. All the factors were tested to determine whether they are important in influencing future use of the VLE and statistical analysis methods determined the key driving factors. Results of regression analysis showed that university lecturers have an above average level of VLE acceptance with the very high level of significant value.  


Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 402-409
Author(s):  
Deepak Shrivastava ◽  
Apurva Shrivastava ◽  
Gyan Prakash

Tech-friendliness in this new era is an important quotient considered and the persons’ acceptance towards the technology frequency matters a lot. But still the frequency varies from person to person, this brought in the concept of Technology Acceptance Model given by Fred Davis in 1989. The theory of TAM is based on two theories that are Theory of Reasoned Action and Theory of Planned Behavior, TAM is extended version of these two. Green Banking is a new technology introduced by the banks that focuses on the growth of Sustainable development and Banking system too. Thus, banks ask their customers to use it or practice it in their daily life transactions. But every customer has their own point of view on the usage of Green banking. Thus, the research aims to understand the customers’ perception towards the Green Banking for this TAM is used. The research states that Perceived risk is the primary factor that is followed by perceived usefulness and perceived ease of use that impacts the decision to use green banking. Thus, the behavioral intention results in actual use of green banking usage for which people are trying to accept the new technology. So, the banks have earned points for creating awareness among their customers but still they have to work hard and clarify their customers’ problems and vanish that hitch that is stopping them to use green banking easily.


2019 ◽  
Vol 24 (1) ◽  
pp. 100-113
Author(s):  
Filona ◽  
Misdiyono

With the rapid growth of information technology, electronic money has played an important and central role in the e-payment. Development of electronic money is able to create a trend less-cash society, which is a society’s behavior using non- cash transactions by utilizing the simplicity offered through electronic transactions. The purpose of this research is to determine the factors affecting the intention to use electronic money. We designed a questionnaire and used it to survey a simple random sampling of people who use of e-money in DKI Jakarta. The actual samples used for the study are 125 respondents. We analyzed the data using Structured Equation Modeling to evaluate the strength of the hypothesized effects. The result of the analysis showed that perceived ease of use has no significant effect on attitudes towards the use of e-money. Perceived ease of use has a significant effect on the perceived usefulness of e-money. Perceived usefulness has no significant effect on the intention to use e-money. Perceived usefulness has a significant effect on attitudes towards the use of e-money. Attitude has a significant effect on the intention to use e-money. Subjective norm has a significant effect on the intention to use e-money. Perceived behavioral control has no significant effect on the intention to use e-money. Keywords: electronic money, technology acceptance model, the theory of planned behavior.


2021 ◽  
pp. 1-21
Author(s):  
Maurita T. Harris ◽  
Wendy A. Rogers

Abstract Older adults with a chronic health condition (e.g. hypertension) use various self-management methods. Healthcare technologies have the potential to support health self-management. However, it is necessary to understand the acceptance of these technologies as a precursor to older adults’ adoption and integration into their health plan. Our focus was on the factors older adults with hypertension initially consider when introduced to three new healthcare technologies that might support their health self-management. We compared their considerations for a blood pressure monitor, an electronic pillbox and a multifunction robot to simulate incrementally more complex technologies. Twenty-three participants (aged 65–84) completed four questionnaires and a semi-structured interview. The interview transcripts were analysed using a thematic analysis approach. We identified the factors that were frequently mentioned among the participants for each of the three healthcare technologies. The factors that older adults initially considered were familiarity, perceived benefits, perceived ease of use, perceived need for oneself, relative advantage, complexity and perceived need for others. Upon further reflection, participants considered advice acceptance, compatibility, convenience, facilitating conditions, perceived usefulness, privacy, subjective norm, and trust. We integrated the factors that older adults considered into the Healthcare Technology Acceptance Model (H-TAM), which elucidates the complexity of healthcare technology acceptance and provides guidance for future explorations.


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