Determinants of e-learning adoption among students of developing countries

2016 ◽  
Vol 33 (4) ◽  
pp. 248-262 ◽  
Author(s):  
Richard Boateng ◽  
Alfred Sekyere Mbrokoh ◽  
Lovia Boateng ◽  
Prince Kwame Senyo ◽  
Eric Ansong
Keyword(s):  
Structural Equation ◽  
Quantitative Research ◽  
Direct Relationship ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Research Approach ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Tam Model ◽  
E Learning

Purpose – The purpose of this paper is to investigate the determinants of e-learning adoption (ELA) among students in the University of Ghana. Design/methodology/approach – A quantitative research approach comprising of a survey of 337 students was adopted. Data were collected using questionnaires designed in conjunction with 13 factors (computer self-efficacy (CSE), perceived ease of use (PEOU), perceived usefulness (PU) and attitude towards use (ATTU)) in the conceptual model of the study. Data analysis was conducted using structural equation modelling. Findings – The result revealed that PU and ATTU had a direct effect on ELA whilst, PU and PEOU also had a direct relationship on ATTU. Other variables such as CSE and PEOU had an indirect relationship on ELA though they were found to have an insignificant direct relationship on ELA. Practical implications – The level of significance of each construct identified in the study provide practical guidance to school administrators and instructors as to which factors to pay close attention to when implementing e-learning projects within their respective institutions. Originality/value – This study provides insight into ELA from the students’ perspective, through an extension of the TAM model in a developing country context given the existence of cultural differences and societal idiosyncrasies which exist in different contexts, particularly in Africa.

scholarly journals An analysis of students' perspectives on e-learning participation – the case of COVID-19 pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahrokh Nikou ◽  
Ilia Maslov
Keyword(s):  
Structural Equation ◽  
Ease Of Use ◽  
Learning Systems ◽  
Perceived Usefulness ◽  
Educational Institutions ◽  
Perceived Ease Of Use ◽  
Related Factors ◽  
Content Type ◽  
Intention To Participate ◽  
E Learning

PurposeDuring the COVID-19 pandemic, educational institutions were forced to shut down, causing massive disruption of the education system. This paper aims to determine the critical factors for the intention to participate in e-learning during COVID-19.Design/methodology/approachData were collected by surveying 131 university students and structural equation modelling technique using PLS-SEM was employed to analysis the data.FindingsThe results showed that the COVID-19 related factors such as perceived challenges and COVID-19 awareness not only directly impact students' intention but also such effects are mediated through perceived usefulness and perceived ease of use of e-learning systems. However, the results showed that the educational institution's preparedness does not directly impact the intention of students to participate in e-learning during COVID-19. The results also showed that the gender and length of the use of e-learning systems impact students' e-learning systems use.Originality/valueThese results demonstrated that, regardless of how well the educational institutions are prepared to promote the use of e-learning systems, other COVID-19-related challenges play a crucial role in forming the intention of students to participate in e-learning during the COVID-19 pandemic. Theoretical and practical implications are provided.

scholarly journals The Impact of Smartphone Adoption on Marketing Therapeutic Tourist Sites in Jordan

2018 ◽  
Vol 7 (4.34) ◽  
pp. 91 ◽  
Author(s):  
Mahmoud Alghizzawi ◽  
Mazuri Abd. Ghani ◽  
Ahmad Puad Mat Som ◽  
Muhamad Fazil Ahmad ◽  
Aziz Amin ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Quantitative Research ◽  
Positive Impact ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Tam Model ◽  
The Impact

The aim of the study is to find out the effect of smartphone on marketing therapeutic tourist sites in Jordan. Several factors contribute to this study, including market type templates, therapeutic, demographic and their impact on tourist behavior in Jordan. We apply the technology acceptance (TAM) model to study through the incorporation of smartphone applications on marketing therapeutic tourist sites in Jordan. To achieve this, we use the quantitative research design and rely on appropriate data to test the hypothesis. We distributed questionnaire to 400 tourists as a sample of study but two hundred and four were collected. The researchers had used the structural equation modeling (PLS-SEM) for measuring relationships and correlations between variables and their impact on the behavior of tourists in Jordan. According to the study findings, there was a positive impact on market type template, therapeutic, and demographics on tourists' perceived ease of use of smartphone on marketing therapeutic tourist sites in the country. Perceived usefulness and perceived ease of use also led to an increase in tourists' intention to use smartphone.  

Examining the intentions of a Ghanaian technical university students to use e-library

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eugene Okyere-Kwakye ◽  
Khalil Md Nor
Keyword(s):  
University Students ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Library Resources ◽  
Technical University

Purpose Electronic library (E-library) is a form of computer mediated system that uses electronic media, such as Web/internet devices and distributes resources to improve on the quality of teaching and learning. Students’ use of e-library for learning is essential and as such the government has invested hugely into its subscription for several university libraries in Ghana. However, most university students feel reluctant to use the e-library resources for their studies. The purpose of this paper is therefore to examine the factors that influence students’ intention to use e-library resources for their studies. Design/methodology/approach Questionnaire was used to collect data from 200 students from one Technical University in Ghana. Structural equation modeling (SmartPLS) was used to analyze the data. Findings The study found that accessibility, attitude, perceived ease of use, perceived usefulness and relevance to studies have positive significant effect on students’ attitude to use e-library. In addition, self-efficacy, subjective norm and attitude have positive significant influence on students’ intention to use e-library. Research limitations/implications Although the sample frame used for this study may be unique, but the total amount of data collected was limited to providing the general representative of the Ghanaian students in one particular university. Other researchers may consider collecting data from other universities to extend the sample frame for a larger sample size of students. Practical implications Academic administrators need to organize training and workshops on how to use the e-library portal for their search and other didactic assignments. Most importantly, students should be given IT or internet tutorials as foundation for the use of the e-library portal. Social implications Universities have to provide internet access such as hotspot and network routers at the labs, classrooms and other vantage points. It is believed that with these in place, adequate access to the internet would promote students’ engagement on the e-library facility. Originality/value The study examines the factors that influence students’ intention to use e-library resources for their studies in Ghana.

What influence users’ e-finance continuance intention? The moderating role of trust

2018 ◽  
Vol 118 (8) ◽  
pp. 1647-1670 ◽  
Author(s):  
Wangyue Zhou ◽  
Zayyad Tsiga ◽  
Boying Li ◽  
Shuning Zheng ◽  
Shuli Jiang
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Website Quality ◽  
Content Type ◽  
Positive Effects

Purpose The purpose of this paper is to identify antecedents of e-finance continuance intention with Alibaba’s Yu’E Bao as an example. Design/methodology/approach An online questionnaire was used to collect the data (n=293), and partial least squares structural equation modeling was employed for data analysis. Four e-finance features (perceived reputation, website quality, e-finance familiarity and situational normality) are introduced with trust acting as a moderator between the users’ satisfaction and continuance intention to use an e-finance platform. Findings The results find that website quality, familiarity and situational normality can influence perceived ease of use (PEOU) and perceived usefulness (PU). PEOU and PU, together with reputation, are positively associated with confirmation which further leads to satisfaction. The positive effects that satisfaction and trust have on e-finance continuance intention are confirmed, and trust is found to be a significant moderator on the relationship between satisfaction and continuance intention. Practical implications The findings can be used to guide e-finance providers to improve their platform design and services to retain users. Originality/value This study combines the theory of trust, Technology Acceptance Model and Expectations Confirmation Theory to investigate the factors that influence the continuance intention in the context of e-finance in China.

scholarly journals THE INFLUENCE OF E-LEARNING CHARACTERISTICS AND BASIC ICT COMPETENCIES TO ACTUAL USAGE OF E-LEARNING: A PATH DIAGRAM MODEL

2015 ◽  
Vol 11 (2) ◽  
pp. 59
Author(s):  
I Made Suarta ◽  
I Ketut Suwintana
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Actual Usage ◽  
E Learning ◽  
Ict Competencies

In this paper, the Technology Acceptance Model (TAM) is extent with two external stimulus namely e-learning characteristics and basic ICT (Information and Communication Technology) competencies. The purpose of this study are (1) finding relationship between e-learning characteristics and lecturers’ basic ICT competencies with the perceived ease of use and perceived usefulness of e-learning; and (2) determining the effect of e-learning characteristics and lecturer basic ICT competencies to the actual usage of e-learning. Research subjects are Bali State Polytechnic lecturers who have attended the elearning training. In this study, to collect the data sample, a non-random sampling technique is adopted. The data is collected by self-administered questionnaires and is analyzed using structural equation modeling. Basic ICT competencies of the Bali State Polytechnic lecturers are good, but the level of actual usage of e-learning is very low. Basic ICT competence shows no significant effect on the perceived ease of use and perceived usefulness of e-learning. The actual usage of e-learning also has low implications. E-learning characteristics show a significant effect on perceived ease of use and perceived usefulness of e-learning, which implies the change attitude and behavior in the use of elearning. Characteristics of e-learning become a determinant factor in the adoption and use of elearning. The findings will help lecturer a better understanding to the mechanism of e-learning adoption. The study recommends for polytechnic institutions to make a systematic effort to provide lecturers with training on how to use e-learning system effectively. A further research to identify other factors that may influence lecturers' attitudes toward the adoption of e-learning system is demanded following this research.

MC 2.0: testing an apparel co-design experience model

2015 ◽  
Vol 19 (1) ◽  
pp. 69-86 ◽  
Author(s):  
Juanjuan Wu ◽  
Ju-Young M. Kang ◽  
Cara Damminga ◽  
Hye-Young Kim ◽  
Kim K P Johnson
Keyword(s):  
Social Presence ◽  
Structural Equation ◽  
User Interaction ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Theoretical Contribution ◽  
Design Experience

Purpose – The purpose of this paper is to test an online apparel co-design experience model and to investigate six determinants (perceived ease of use, perceived usefulness, enjoyment, level of personalization, social presence, and attitude towards the co-designed product) of online apparel co-design experience and effects on behavioural intention. Design/methodology/approach – Female college students (n=265) were surveyed after an actual online apparel co-design experience in a computer lab and interactions with other users wherever such arenas were provided. structural equation modelling was used for data analysis. Findings – The findings revealed that subjects’ apparel co-design experience was positively affected by enjoyment, attitude towards the co-designed product, perceived ease of use, and social presence. And behavioural intention towards the mass customization sites was positively affected by subjects’ attitude towards the co-design experience, subjective norm, and enjoyment. Originality/value – The research makes a unique theoretical contribution by conceptualizing MC 2.0 (MC sites that provide arenas for user interaction) and by incorporating and confirming the significance of both “enjoyment” and “social presence” variables as predictors of online apparel co-design experience.

Validating the TAM model in Haryana state of India: During COVID-19

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
komal Goyal ◽  
Ashutosh Nigam ◽  
Neha Goyal ◽  
Manisha Goyal
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Perceived Ease Of Use ◽  
Tam Model ◽  
E Learning ◽  
Continuous Usage Intention ◽  
Acceptance Model

Purpose -Response to the sudden pandemic, COVID-19 drastic shift of work practices requires the implementation of an e-learning system, but their adoption requires a thorough understanding of the user acceptance process. Our key effort is to incorporate a framework, “internet experience” to determine the existing Technology Acceptance Model (TAM) applicability in describing students’ s e-learning decisions in Haryana state. Design/methodology- The researcher has administered a questionnaire based on TAM’s constructs and collected data from UG and PG students of Haryana state of India. Findings – The results revealed that perceived usefulness (PU) has a significant positive relationship with continuous usage intention (CUI) whilst, perceived ease of use (PEOU), computer self-efficacy (CSE) and internet experience (IE) have not. Attitude towards E-learning system (ATELS) has found no relevance in this model. Originality/value Majority research has been done using the TAM model in a developed nation. Empirical study has not been done in Haryana state so far.

Influences of Demographic Information as Moderating Factors in Adoption of M-Learning

2012 ◽  
Vol 3 (1) ◽  
pp. 8-21 ◽  
Author(s):  
Elaheh Yadegaridehkordi ◽  
Noorminshah A. Iahad
Keyword(s):  
Technology Acceptance ◽  
Self Efficacy ◽  
Quantitative Research ◽  
New Technology ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Research Approach ◽  
Perceived Ease Of Use ◽  
Electronic Learning ◽  
Prior Use

In today’s world, interests of mobile devices for educational processes anytime and anywhere has been on the rise. However, adoption of this new technology by students is complicated. The purpose of this study is to examine the factors that influence the adoption of M-learning by students and to propose an appropriate model for its adoption. Three external variables, namely Perceived Mobility Value, Prior Use of Electronic Learning and Self-efficacy, were incorporated into the Technology Acceptance Model and tested in Universiti Teknologi Malaysia. Quantitative research approach was used to survey 350 students. Empirical data from multiple regression analyses indicates that Perceived Usefulness, Perceived Ease of use, Perceived Mobility Value, Prior Use of Electronic Learning, Self-efficacy, and Attitude toward using, can positively affect the adoption of M-learning. Results are explored further in this study

The role of technology readiness in individuals' intention to use health and fitness applications: a comparison between users and non-users

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Weisheng Chiu ◽  
Heetae Cho
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Negative Impact ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Technology Readiness ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Health And Fitness ◽  
Acceptance Model

PurposeThe purpose of this study is to examine individuals' decisions to use health and fitness apps by applying the extended technology readiness and acceptance model (TRAM), which combines technology readiness (TR), the technology acceptance model (TAM) and perceived enjoyment (PEN). Moreover, this study explores the differences between users and non-users regarding their intentions to use health and fitness apps.Design/methodology/approachData collection (n = 206) was conducted using convenience sampling from four large universities in South Korea. The data were analysed by partial least squares structural equation modelling (PLS-SEM) using SmartPLS 3.0.FindingsThe results revealed that positive TR positively affects perceived ease of use (PEOU), perceived usefulness (PU) and PEN, while negative TR had a negative impact only on PEN. Furthermore, the significant relationships between PEOU, PU and PEN were identified. In addition, multigroup analyses indicated that the relationships between positive TR and PEN, between PEN and PEOU, between PEOU and PU, and between PU and behavioural intention were positively stronger for app users.Originality/valueThis study initially applied the TRAM to understand individuals' behavioural intentions to use health and fitness apps. Moreover, this study identified the distinct roles of positive and negative TR affecting individuals' cognition regarding using health and fitness apps. The differences in the psychological processes between app users and non-users offer insights and implications for practitioners.

Students’ intentions to use PBWorks: a factor-based PLS-SEM approach

2019 ◽  
Vol 120 (7/8) ◽  
pp. 489-504 ◽  
Author(s):  
Eddie W.L. Cheng ◽  
Samuel K.W. Chu ◽  
Carol S.M. Ma
Keyword(s):  
Secondary Schools ◽  
Technology Acceptance ◽  
Latent Variables ◽  
Teacher Support ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
School Support ◽  
Content Type ◽  
E Learning

Purpose Wikis, as one of the Web 2.0 tools, has been increasingly used to engage students to learn with others in a collaborative virtual environment. However, there are relatively few studies examining the application of wikis in secondary schools. Therefore, this study aims to investigate factors affecting the use of PBWorks (a popular wiki tool). Design/methodology/approach The aim was achieved by empirically examining an extended technology acceptance model (TAM) from a sample of 429 junior secondary students in Hong Kong. Specifically, relationships among six latent variables, which were school support, teacher support, perceived ease of use, perceived usefulness, attitudes towards use and the intention to use, were posited in the model. The more robust factor-based partial least squares structural equation modelling (factor-based PLS-SEM) was used to test the research model. Findings The results indicated that most of the hypotheses were supported, which suggested that the extended TAM could explain the rationale behind students’ intentions to use PBWorks for group projects. Originality/value This paper extended the original TAM by including two additional variables (school support and teacher support) for explaining behavioural intentions. Because of the increased use of e-learning platforms in secondary schools, more understanding of what motivates secondary school students’ e-learning intentions is necessary.

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