scholarly journals Factors Influencing the Behavioural Intention to use the Internet as a Teaching-Learning Tool in Home Economics

2012 ◽  
Vol 59 ◽  
pp. 180-187 ◽  
Author(s):  
Peng Lin Phua ◽  
Su Luan Wong ◽  
Rosini Abu
Keyword(s):  
Home Economics ◽  
Behavioural Intention ◽  
The Internet ◽  
Intention To Use ◽  
Learning Tool ◽  
Factors Influencing ◽  
Teaching Learning

Factors influencing the young physicians’ intention to use Internet of Things (IoT) services in healthcare

2021 ◽  
pp. 026666692110641
Author(s):  
Najmul Hasan ◽  
Yukun Bao ◽  
Shah Jahan Miah ◽  
Alex Fenton
Keyword(s):  
Internet Of Things ◽  
Empirical Study ◽  
Structural Equation ◽  
Healthcare Services ◽  
Integrated Model ◽  
Behavioural Intention ◽  
Relative Advantage ◽  
Intention To Use ◽  
Factors Influencing ◽  
Young Physicians

The Internet of Things (IoT) enabled technologies to have proliferated due to their abilities to capture and exchange quality information. This empirical study aims to investigate the factors influencing the intention to use IoT services in healthcare by young physicians. An integrated model based on the theory of planned behaviour (TPB) and diffusion of innovations (DOI) theories are drawn upon and analyzed through a Structural Equation Modelling (SEM) with importance-performance map analysis (IPMA). Data were collected through a structured survey questionnaire. The results indicated that behavioural intention to use IoT in healthcare services vastly affected by the attitude and value co-creation. Attitude was found to be a principal determinant followed by the relative advantage towards behavioural intention to use IoT services. The novelty of this empirical study is that the proposed integrated model provides a meaningful application of the young physicians’ intention to use IoT in healthcare in developing countries.

Kahoot!

2019 ◽  
pp. 191-208
Author(s):  
Dini Turipanam Alamanda ◽  
Grisna Anggadwita ◽  
Abdullah Ramdhani ◽  
Mediany Kriseka Putri ◽  
Wati Susilawati
Keyword(s):  
Higher Education ◽  
Academic Achievement ◽  
Open Access ◽  
Learning Strategies ◽  
The Internet ◽  
Learning Tools ◽  
Learning Tool ◽  
Teaching Process ◽  
New Learning ◽  
Teaching Learning

Learning strategies in the digitalization era are vastly expanding. Students are comprised of the millennials for whom life cannot be separated from technology and the internet. The ever-expanding technology has posed new challenge on the teaching process of millennials, and one of which is the growing importance and increased involvement of technology that empower a host of new learning tools. One of the most prominent open-access teaching/learning tool is Kahoot! This chapter aims to complement studies about the use of game-based methods at higher education. The survey was conducted for 1 year at a university located in a small city in Indonesia. A total of 415 students were actively involved in measuring their perceptions of games-based learning tools called Kahoot! Furthermore, this study also measured differences in outcomes between faculties, types of subjects, and commonly used research methods. The result shows that Kahoot! positively impacts student academic achievement as measured by student motivation, enjoyment, engagement, and concentration.

scholarly journals Factors Influencing Pre-service Teachers’ Satisfaction and Intention to Use the Internet: A Structural Equation Modeling

2021 ◽  
Vol 15 (02) ◽  
pp. 110
Author(s):  
Ali Sadikin ◽  
Akhmad Habibi ◽  
Erick Sanjaya ◽  
Dwi Candra Setiawan ◽  
Try Susanti ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
The Internet ◽  
Intention To Use ◽  
Factors Influencing

<p>In the age of digital era where the Internet is playing an important and dominant role, the concern of the higher education to ensure that the Internet within the reach of the students is very important. However, little research has been reported to indicate the success of the concern in Indonesia. Therefore, This study was conducted to assess factors influencing Indonesian PSTs’ satisfaction (ST) and intention to use (IU) the Internet for learning through technology acceptance model (TAM). Data was gathered from a total of 596 pre-service teachers (PSTs) from five universities in Indonesia. The measurement and assessment of the model were developed through a partial least square structural equation modeling (PLS-SEM). The results informed that Indonesian PSTs’ ST was strongly influenced by perceived ease of use (PEU) and IU. Besides, PSTs’ IU was predicted by Attitude (AT), PU and PEU.<em> </em></p>

Investigating Influence of Moderators in Adopting Internet: Indian Seniors Perspective

2020 ◽  
pp. 097215092090869
Author(s):  
Hory Sankar Mukerjee ◽  
G. K. Deshmukh ◽  
Dewashish Mukherjee ◽  
Nidhi Chawla
Keyword(s):  
Structural Equation ◽  
Behavioural Intention ◽  
The Internet ◽  
Intention To Use ◽  
Actual System ◽  
Actual Usage ◽  
Use Of Technology ◽  
System Use ◽  
And Gender ◽  
Facilitating Conditions

Present study identifies Indian seniors’ intention to use the internet and actual usage along with influence of age, gender, education and experience as moderators. This study proposes modifications in unified theory of acceptance and use of technology (UTAUT) model while adding education as moderators and also studied relationship between facilitating conditions (FC) and behavioural intention. The proposed research model was empirically tested by data collected from 371 Indian seniors above the age of 50 years through offline survey. The collected data were analysed using structural equation modelling (SEM) and multiple moderation analysis. The result revealed that performance expectancy (PE), effort expectancy (EE), subjective norm (SN), technology anxiety (TA) significantly influence elders’ behavioural intention (BI) to use and adopt internet except FC. Further BI resulted in actual system use which is also determined by FC. Actual system use is predicted by three variables: learning, place of access and health conditions. In this study only age and gender were emerged as moderators. Findings of the study have important implications particularly to understand determinants of Indian seniors’ intention to use the internet and actual usage along with influence of moderators.

scholarly journals Factors Influencing Consumer Acceptance of Internet of Things Technology

2017 ◽  
pp. 186-201 ◽  
Author(s):  
Chung Sim Liew ◽  
Ju Min Ang ◽  
Yee Teen Goh ◽  
Wai Kin Koh ◽  
Shy Yin Tan ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Technology Acceptance ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Consumer Acceptance ◽  
Intention To Use ◽  
Additional Information ◽  
Factors Influencing ◽  
Acceptance Model ◽  
Internet Of Things Technology

The aim of this research is to examine factors influencing consumer acceptance of Internet of Things Technology (IoT) guiding by the Technology Acceptance Model (TAM). This quantitative research involves 204 respondents approached via convenience sampling at a public higher learning institution. Data was analyzed using multiple regression and results revealed that the dimension of perceived usefulness is the most influencing factor on the consumers' acceptance of IoT technology and consumers' behavioural intention to use. In the Malaysian context, this research provides additional information in narrowing the research gap with regard to understanding behavioural intention to use the IoT technology. Next, the framework will be used for future exploration to address the issue of people who have never utilized an IoT innovation react.

scholarly journals Factors influencing behavioural intention to use MOOCs

2021 ◽  
Vol 13 (2) ◽  
pp. 83-95
Author(s):  
Bilal Khalid ◽  
Marcin Lis ◽  
Wornchanok Chaiyasoonthorn ◽  
Singha Chaveesuk
Keyword(s):  
Absorptive Capacity ◽  
Structural Equation ◽  
Online Courses ◽  
New Technology ◽  
Behavioural Intention ◽  
Primary Data ◽  
Intention To Use ◽  
Factors Influencing ◽  
Learning Programs ◽  
Facilitating Conditions

Abstract This analysis aimed to investigate the factors influencing the behavioural intention to use Massive Open Online Courses (MOOCs) in Thailand and Pakistan. The study was geared towards exploring the MOOCs, a relatively new technology platform allowing the spread of education and learning in various areas and fields and surpassing traditional online courses. The study adopted the UTAUT model with additional two variables of perceived autonomy and absorptive capacity. A quantitative method was applied using primary data collected from a sample of 490 and 513 respondents from Thailand and Pakistan, respectively. The sample size was composed of students in institutions of higher learning who were aware of MOOCs or intended to use them in their studies. The analysis was conducted using the Confirmatory Factor Analysis (CFA) and multi-group structural equation modelling (SEM). The study found that four variables (social influence, absorptive capacity, facilitating conditions and perceived autonomy) significantly influence the student intention to use MOOCs in Thailand and Pakistan. However, two variables (performance expectancy and effort expectancy) did not influence the student intention to use MOOCs in Thailand and Pakistan. The results indicated that the findings between the two countries were invariant. This study extended the model by Venkatesh et al. (2003), including two additional variables, the perceived autonomy and absorptive capacity. The study indicated various aspects related to the response of students using MOOCs. This study is especially beneficial during the COVID-19 pandemic for determining factors that officials of higher institutions of learning should consider when implementing MOOCs and associated online learning programs to deliver quality education to students.

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