Investigating Students' Acceptance and Self-Efficacy of E-Learning at Al-Aqsa University Based On TAM Model

Author(s):  
Hasan Rebhi Mahdi

The study aimed at investigating the influence of E-learning Self- Efficacy (ELSE) on the acceptance of e-learning by using the Technology Acceptance Model (TAM). According to the TAM which used as the theoretical basis, both of the Perceived Usefulness (PU) and the Perceived Ease of Use (PEOU) influence directly the end user's Behavioral Intention (BI) to accept a technology. A survey was used to collect information about the perceptions of Al-Aqsa university students. Collected data was analyzed using the regression equation by SPSS. A structured questionnaire was used to obtain responses from (592) students who took the e-courses of the “instructional technology, research methods, measurement and evaluation”. The most significant results of the study showed that Al-Aqsa university students have high levels of acceptance and Self-Efficacy toward E-Learning representing a rate above 75%. Furthermore, there are positive and significant relationships between dependence and independence variables. However, the study found a significant relationship between finding ELSE, PEOU, PU and BI (Y= 1.2 +0.05ELSE+0.06PEOU+0.16PU+e, r = 0.65, P<0.01). Other relationships were found among variables such as ELSE, PEOU and PU (Y= 7.5 +0.11ELSE+0.21PEOU+e, r = 0.62, P<0.01), ELSE and PEOU (Y= 0.56 +0.242ELSE+e, r= 0.64, P<0.01).

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
komal Goyal ◽  
Ashutosh Nigam ◽  
Neha Goyal ◽  
Manisha Goyal

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.


2019 ◽  
Vol 8 (4) ◽  
pp. 4640-4645

recently, a rapidly increasing type of education that is mostly adopted by higher education in developed countries is known as E-learning. The aim of the research was to evaluating students’ satisfaction of e-Learning. In the current research, both the theory of technology acceptance model (TAM) and the method of employed structural equation modelling (SEM) with Smart PLS were used to examine the process of students' adoption. It has been found that the learning satisfaction was positively influenced by the perceived ease of use (PEOU), perceived usefulness (PU) and intention to use (IU) as witnessed among university students. Significant and positive perceptions towards e-learning and intend to practice it by university students in Malaysia have been observed by this research.


2021 ◽  
Vol 11 (8) ◽  
pp. 436
Author(s):  
Prageeth Roshan Weerathunga ◽  
W. H. M. S. Samarathunga ◽  
H. N. Rathnayake ◽  
S. B. Agampodi ◽  
Mohammad Nurunnabi ◽  
...  

This study examined the effect of the COVID- 19 pandemic and related events on the use of e-learning, as well as other key determinants of it. The data were collected from 1039 university students in Sri Lanka. To examine the influence of the COVID-19 pandemic, which was viewed through the lens of precipitating events, on the intention–behaviour relationship, we employed the Technology Acceptance Model (TAM) with the inclusion of a moderating variable. While the findings indicated that the COVID-19 pandemic had clearly increased the usage of e-learning, we found no evidence to establish a moderating impact on the intention–behaviour relationship. The empirical model, however, was well fitted to the data, and the key components of the TAM were likewise adequately described by the relevant predictors. Furthermore, attitudes toward e-learning and perceived ease of use emerged as the most important factors in explaining behavioural intention, whereas relevance and experience were shown to be more significant in relation to perceived usefulness and perceived ease of use. Our work is significant because it adds to the existing empirical evidence on e-learning and supports the relevance of TAM in understanding the usage of e-learning even in extreme situations such as the COVID-19 pandemic. Our research has significant implications for educators and other higher education authorities.


Author(s):  
Ahmad Qasim Mohammad AlHamad

The objective of the study is to find out the factors which affect the acceptance of E-learning among students and how the students’ purpose of using E-learning is determined by these factors. The research was based on the Technology Acceptance Model (TAM). The researcher developed a questionnaire to gather data from a sample of 366 university students who actively used the E-learning system. According to the results of the study, subjective norms, perceived usefulness, perceived ease of use, enjoyment, and accessibility” are the vital predictors behind the intention of students for using E-learning systems. This indicates that extended TAM is applicable in the UAE. The results show that policymakers and education developers should take E-learning system seriously since it can be opted not just as a technological solution but also as a learning platform for students belonging to a distant area. The results present practical implications for education developers, policymakers and practitioners in devising useful plans to implement E-learning systems.


Author(s):  
M. R. K. N. Yatigammana ◽  
Md. Gapar Md. Johar ◽  
Chandra Gunawardhana

E-learning is a method of delivering knowledge using information technology and electronic media for the remote users. The advantages of e-learning method can be fully achieved with the postgraduate studies as majority of the postgraduate students are engaged in learning while they are working and also geographically dispersed due to the family and work life thus physically appearing for the lecture sessions are difficult to them. This paper attempts to develop a framework to measure the postgraduate students’ perceived technology acceptance by developing a modified version of the Technology Acceptance Model (TAM) which replaces perceived usefulness and perceived ease of use in the original model of TAM with relative advantage and complexity and incorporate other variables of trialability, observability, compatibility, psychological wellbeing and social influence of the students. The developed model is validated using 30 postgraduate students from Sri Lanka and thus this model can be used in future researchers to measure the perceived e-learning acceptance of postgraduate students.


2017 ◽  
Vol 1 (2) ◽  
pp. 298
Author(s):  
Umar Maksum ◽  
Zaki Baridwan ◽  
Imam Subekti

<p>This study aims to examine the factors influencing the acceptability of SIMDA in the Batu Municipal Government. The research model used the <em>Technology Acceptance Model</em> (TAM), which add external construct from D&amp;M success model of information system and other construct namely the <em>commitment of management</em>, <em>social influence</em> and the Individually influence such as <em>computer self-efficacy</em> and <em>personal innovativenes</em>. This research employed census sampling method. The samples are all official of in financial department who use SIMDA. Results of the research showed that <em>perceived usefulness</em> was affected by <em>management commitment</em>, <em>social influence</em>, <em>information quality, system quality</em>, <em>personal innovativeness</em>, and<em> perceived ease of use</em>. In addition, <em>Computer self-efficacy</em>, and <em>personal innovativeness</em> influenced to <em>perceived ease of use</em>. Furthermore, the <em>acceptance SIMDA</em> was influenced <em>perceived usefulness</em> and <em>perceived ease of use</em>. On the contrary, <em>computer self-efficacy</em> did not affect to <em>perceived usefulness</em><strong></strong></p><p><strong>Keywords: </strong>Technology Acceptance Model (TAM), Acceptance SIMDA, perceived usefulness, perceived ease of use</p>


2013 ◽  
Vol 38 (4) ◽  
pp. 83-96 ◽  
Author(s):  
Rupanjali Nath ◽  
Kanika T Bhal ◽  
Geetika T Kapoor

The use of Information Technology (IT) in the banking sector has seen a phenomenal growth in India. For its effective use and implementation, employees' acceptance and the consequent use of IT are important. Davis' Technology Acceptance Model (TAM) (1989) explains users' acceptance of electronic systems. By applying the extended TAM approach to this study, the authors aim to uncover various factors that affect the attitude and acceptance of bank employees towards CBS. The TAM model identifies perceived usefulness (PU), and perceived ease of use (PEU) as impacting attitude towards IT and behavioural intention. The model is extended by identifying social influence, computer self-efficacy, and technological facility as factors affecting perceived usefulness and perceived ease of use. The target respondents for this study were bank employees from the public and private sectors banks (State Bank of India, Union Bank, Bank of India, ICICI Bank, and Axis Bank) situated in the National Capital Territory (NCT) of Delhi. Measurement items applied in this study were an adaptation of previously validated measures or were developed on the basis of a literature review. Responses were analysed using the 7-point Likert Scale that ranged from (1) ‘strongly disagree’ to (7) ‘strongly agree’. To test the reliability of the measures, a pilot study was conducted with 20 randomly chosen employees and modified scales. Structural equation modelling was used to analyse the data. Overall, the findings suggest that extended TAM variables positively influence the intention and usage behaviour through PU and PEU. That is, social influence enhances perceived usefulness; and computer self-efficacy and technology facility influence the perceived ease of use. Again, perceived ease of use significantly influences perceived usefulness which in turn has significant effect on behavioural intention and usage behaviour. Social influence of superiors was the prominent determinant of perceived usefulness of the CBS technology. Hence the role of managers as effective communicators is heightened especially in conveying the benefits of using IT and in turn achieving organizational goals.


Author(s):  
Charles K. Ayo ◽  
Princely Ifinedo ◽  
Uyinomen O. Ekong ◽  
Aderonke Oni

The issues of gender disparity in the usage of information technology (IT), as well as self-efficacy, have received considerable interest and attention among researchers in recent times. Prior research has identified that gender differences and self-efficiency affect the attitude towards adoption and use of technology. In general, females are believed to be disadvantaged compared to their male counterparts with respect to IT usage and acceptance. The reasoning is that males are mostly more exposed to technology and tend to have more proficiency with such tools. Very little information exists in the extant literature regarding perceptions in developing parts of the world, including Africa. In this chapter, an empirical evaluation of the issues in the context of e-banking will be made in Lagos (Nigeria) and its environs. An extended Technology Acceptance Model (TAM) will be used as a conceptual framework to guide the discourse. Data analysis was done on SPSS 15.0. The study’s results showed that gender differences moderated the acceptance of e-banking of users in the research context. Namely, computer self efficacy and perceived ease of use were of concerns to females, but less so for their male counterparts. Also, perceived usefulness of e-banking is discovered to be the most influencing factor for male users. The study’s implications for research and practice are discussed in the chapter.


2022 ◽  
pp. 123-141
Author(s):  
Heru Susanto ◽  
Fadzliwati Mohiddin ◽  
Leu Fang-Yie ◽  
Muhammad Syamim Sanip ◽  
Alifya Kayla Shafa Susanto ◽  
...  

This study was conducted to investigate e-learning acceptance and factors influencing higher institution students in Brunei Darussalam. Among the factors involved in this study were perceived ease of use, perceived usefulness, self-efficacy, technology availability, and usage and intention to use. Technology acceptance models (TAM) were used as a basis for the study and for hypothesizing the effects of such variables on the use of e-learning. The findings of this study found that there is significant influence of self-efficacy to perceived ease of use and perceived usefulness while perceived ease of use has direct impact to perceived usefulness and perceived usefulness has influence on intention to use towards e-learning systems.


Author(s):  
Qingxiong Ma ◽  
Liping Liu

The technology acceptance model (TAM) stipulates that both perceived ease of use (PEOU) and perceived usefulness (PU) directly influence the end user’s behavioral intention (BI) to accept a technology. Studies have found that self-efficacy is an important determinant of PEOU. However, there has been no research examining the relationship between self-efficacy and BI. The studies on the effect of self-efficacy on PU are also rare, and findings are inconsistent. In this study, we incorporate Internet self-efficacy (ISE) into the TAM as an antecedent to PU, PEOU, and BI. We conducted a controlled experiment involving a Web-based medical record system and 86 healthcare subjects. We analyzed both direct and indirect effects of ISE on PEOU, PU, and BI using hierarchical regressions. We found that ISE explained 48% of the variation in PEOU. We also found that ISE and PEOU together explained 50% of the variation in PU, and the full model explained 80% of the variance in BI.


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