Computer Self-efficacy Research Articles

Frustration: Still a Common User Experience

When computers unexpectedly delay or thwart goal attainment, frustration ensues. The central studies of the extent, content, and impact of such frustration were done more than 15 years ago. We revisit this issue after computers have become more mature and computer use is more extensive. To this end, we had 234 crowdsourced participants log the frustrating episodes they experienced with their computers during one hour of computer use. The average time lost due to frustrating episodes was between 11% and 20% of the one-hour period. Though this is less time lost than in the earlier studies, frustration remains a common user experience. While shorter, the median level of frustration during the episodes was high (7 on a 9-point scale). The frustration level correlated with task importance and time lost but was unaffected by computer experience and largely unaffected by computer self-efficacy. In addition, participants indicated that 84% of the episodes had happened before, that 87% could happen again, and that they were unable to resolve 26% of the episodes. This high rate of recurrence and lack of control likely added to the frustration level. The episodes spanned various issues pertaining to performance (49%), usability (36%), and utility (16%).

Rethinking determinants of primary school teachers’ technology acceptance during the COVID-19 pandemic

The COVID-19 pandemic forced teachers to suddenly change their teaching mode from face-to-face to emergency remote teaching creating the biggest disruption in the history of education. Despite facing significant challenges such as a lack of proper information technology training, teaching unprepared students, and infrastructural barriers, there is a gap in research on primary school teachers’ readiness to integrate technology. This study aims to address this gap by utilizing the technology acceptance model to explore the relationships between primary school teachers’ computer self-efficacy beliefs, attitudes, and intentions to incorporate computer-based technology during times of disruption. Participants were N = 144 Greek, primary school teachers, who taught in virtual settings during the pandemic. Findings from structural equation modeling showed that self-efficacy beliefs, perceived ease of use, and perceived usefulness are strong predictors of teachers’ attitudes towards computer use. The study adds to the scarce literature on the crucial role of teachers’ self-efficacy beliefs as drivers of their intention to use technology during emergency remote teaching. Additionally, it highlights the need to consider the unique circumstances in which technology is used and provides insights that can inform the design of effective interventions and policies.

Computer Self-Efficacy, Attitude Towards Computer and Identification with Internet as Determinants of Internet Use Among Library in Public Universities in Western Nigeria

The study examined the extent to which computer self-efficacy, attitude towards computer and identification with Internet determined the Internet use among librarians in public universities in western Nigeria. The study adopted the descriptive research design of the ex-post facto type. The target population for the study were librarians in public universities in western Nigeria. One hundred and seventeen librarians participated in the study. Computer self-efficacy inventory, Computer attitude inventory, identification with Internet inventory, and Internet use inventory were used to obtain data. Five hypotheses were tested at 0.05 level of significance. Data were analyzed using descriptive statistics, Pearson product moment correlation and multiple regression. Results indicated that a combination of computer self-efficacy, attitude towards computer and identification with Internet had significant positive relationship with Internet use (R= 0.509, p 0.05) and contributed 25.9% of the variance in Internet use. Identification with Internet (β = 0.464, t = 4.946, P 0.05) and computer self-efficacy (β = 0.200, t = 2.370, P 0.05) were found to be significant predictors of Internet use. Internet use among librarians had significant positive relationship with identification with Internet (r = 0.455, P 0.05) and Computer self- efficacy (r = .309, P 0.05) but had no significant relationship with attitude towards computer (r = 0.098, P 0.05). Computer self-efficacy, attitude towards the computer and identification with the Internet significantly determined the use of Internet among librarians in public universities in western Nigeria. It is therefore recommended that the administrators of university libraries take these factors into account when making organizational policies.

Mediation Effect of Computer Self-Efficacy Between Learning Motivation and Learning Achievement

Factors that influence learning achievement include learning motivation and self-efficacy. This study aims to explain the effect of learning motivation, and self-efficacy on student achievement. The population used in this study were students of the Faculty of Economics, University of 17 August 1945, Surabaya. The sampling technique is random sampling. The data collection used is documentation and questionnaires. The design of this research is an explanation of the variables of learning motivation (X1), self-efficacy (X2), and learning achievement (Y). The data analysis technique used is Linear Regression Analysis. The results showed that learning motivation and self-efficacy partially affected the learning achievement of undergraduate students. The limitations of this study are limited to students of the Management S1 program, so it cannot be generalized to other populations. Further researchers are expected to add other variables that affect learning achievement and can add data collection techniques with observation and interviews so that research results are more accurate.
 Keywords: Learning Motivation, Computer Self-Efficacy, Learning Achievement.

FAKTOR-FAKTOR YANG MEMPENGARUHI EFEKTIVITAS PENGGUNAAN SISTEM INFORMASI AKUNTANSI PADA UKM DI KOTA BANDA ACEH

This study aimed to examine the influence of computer self-efficacy, non-physical work environment, level of education, and accounting knowledge on the effectiveness of the accounting information systems utilization in SMEs in Banda Aceh City. The population in this study is all SMEs in Banda Aceh City. The sample was selected using purposive sampling, and the sample size was determined using the Slovin formula, resulting in 100 SMEs in the fashion business field in Banda Aceh City as a sample. The primary data is obtained through the distribution of questionnaires via online platforms such as WhatsApp, collected using Google Forms, and analyzed by multiple linear regression models. The findings of this study indicate that computer self-efficacy does not affect the effectiveness of utilizing an accounting information system. However, non-physical work environment, education level, and accounting knowledge affect the effectiveness of utilizing an accounting information system.

Translation and Validation of the Brief Inventory of Technology Self-Efficacy (BITS): Simplified and Traditional Chinese Versions

Computer self-efficacy (CSE) continues to be an important construct in research and application. Two measures of CSE, the Brief Inventory of Technology Self-Efficacy (BITS) and the Brief Inventory of Technology Self-Efficacy – Short Form (BITS-SF) were recently developed to correct for issues in other available measures. The BITS and BITS-SF were originally written in English, and their psychometric properties assessed in samples from the United States. The current two studies translated the BITS and BITS-SF into simplified Chinese (Mainland China) and traditional Chinese (Taiwan) and assessed their psychometric properties. In Study 1, 207 adults in Mainland China completed the simplified Chinese BITS and BITS-SF, as well as measures given to assess convergent, discriminant, and concurrent validity. In Study 2, 273 adults in Taiwan did the same, except that they completed the traditional Chinese BITS and BITS-SF. In both studies, the translated BITS showed evidence of a three-factor correlated structure, and the translated BITS-SF yielded several underlying classes consistent with theory and scoring interpretation. Additionally, the translated measures’ scores showed solid evidence of convergent, discriminant, and concurrent validity. The results replicate the findings using the original BITS and BITS-SF and extend them to simplified Chinese and traditional Chinese translated versions. These versions are recommended for use in research and applied settings to assess CSE and are available for use. Both the original and translated measures are available for download at www.bitssurvey.com .

Student Adoption of E-Learning in Higher Education Institutions in Saudi Arabia

This study aims to explore the various factors influencing students in adopting e-learning in educational institutions in Saudi Arabia and analyze the relationship between factors of students' adoption of e-learning and student behavior intention. The study also analyzes perceived opportunities and challenges faced by students in adopting an e-learning system in higher education. A well-structured questionnaire was developed, and information was collected from 509 respondents. The study found that students' behavioral intention to adopt e-learning is highly influenced by performance expectancy, effort expectancy, social influence, facilitating conditions, computer self-efficacy, and internet knowledge. The study confirms the mediating role of student engagement that can act as an alternate path for strengthening the relationship between factors of adoption of e-learning and behavioral intention. In addition, several implications and new lines of investigation are recommended for meeting the educational transformation needs and future sustainability.

Technostress and Online Teaching During COVID-19 Pandemic: The Case of Lebanon

During the COVID-19 pandemic, several countries have eliminated face-to-face classes in all schools, requiring all teachers to deliver classes remotely. In this regard, the wide spread of information and communication technology (ICT) products and services in the educational sector became a burden for several teachers. This article aims to study the impact of online teaching, and how technological stress might vary between male and female teachers and to what extent it alters their family lives and their way of living. The case of Lebanon has been examined and analyzed using 379 participants in various schools randomly distributed throughout the country, who participated in a survey on how COVID-19 affected their technostress levels. The findings showed that married women were more prone to technological stress and that their family life and lifestyle were strongly affected. In particular, young women with few years of experience were more likely to experience technostress problems. We also found no differences related to educational levels. In addition, the inclusion of different degrees of computer self-efficacy has shown an impact on the development of technostress among individuals.

Understanding virtual rehearsal participation through self-determination theory

ABSTRACT The motivation to participate in ensemble rehearsals may be influenced by the rehearsal environment. With the emergence of the virtual rehearsal environment, there is a need to gain a better understanding of how online rehearsals affect participation decisions. The purpose of this study was to determine the applicability of one theory of motivation, Self-Determination Theory, to older adults’ decisions to participate or not participate in virtual rehearsals. Respondents (N = 49) included participants (n = 20) and nonparticipants (n = 29) who completed the Intrinsic Motivation Inventory (n.d.) and the Modified Computer Self-Efficacy Scale (Laver et al. 2012). Mann–Whitney U comparisons indicated that nonparticipants had significantly lower ratings on the Perceived Competence and Value/Usefulness subscales on the IMI, in addition to significantly lower feelings of self-efficacy on the MCSES. Overall, the results seem to support the use of Self-Determination Theory to explain differences in the decision of New Horizons band members to participate in online rehearsals. To encourage participation in virtual ensembles, there is need to confirm ensemble members are comfortable with the technology and understand the value and usefulness of the activity itself.

Factors Influencing Online Learning Students’ Satisfaction in UIN Fatmawati Bengkulu

The use of e-learning in education can increase efficiency and motivation in learning. The success of this online learning platform is influenced by student satisfaction. Students who are satisfied then they will be comfortable with using online learning. The success of the online learning system can be seen in student satisfaction when using the LMS and online learning software. So, this study aims to analyse student satisfaction with the online learning system. The sample of this research is students of the Tarbiyah Faculty of UIN Sukarno Fatmawati Bengkulu. The sampling technique used is convenience sampling. The independent variables used were computer self-efficacy (CSE), perceived usefulness (PU), and perceived ease of use (PEU). The dependent variable in this study was student satisfaction (SAT). This data analysis technique used Structural Equation Modelling (SEM) with SmartPLS software. The results of this study indicated that the computer self-efficacy had a significant positive effect on the perceived ease of use and the perceived usefulness. The perceived ease of use and perceived usefulness significantly positively affected the student’s satisfaction. Keywords: Online Learning Higher Education, Students’ Satisfaction, Structural Equation Modeling

The transition from traditional to digital: factors that propel Generation Z’s adoption of online learning

Purpose This study aims to identify factors affecting Generation Z (Gen-Z)’s online learning (OL) behavioural intention (BI) using the extended technology acceptance model by investigating gender differences in the BI of Indian students to adopt OL.Design/methodology/approach The proposed model was tested on 284 students from a higher education institution (HEI) in Gujarat, India, using the partial least square–structural equation modelling. Further, the subgroup analysis was conducted using Statistical Package for Social Sciences (SPSS) to determine male and female OL adoption variances.Findings Based on the research findings, all the constructs positively influence the BI of Gen-Z to adopt OL, except the influence of information technology infrastructure (INF) on perceived usefulness (PU). However, no substantial difference was observed in the BI adoption of OL amongst males and females. Also, when gender was kept as a moderator between computer self-efficacy (CSE) and PU, and INF and perceived ease of use (PEU), no substantial difference was observed in the OL of Gen-Z.Research limitations/implications The study will benefit HEIs and associated government departments from a deeper understanding of Gen-Z’s BI to speed up deployment and consider key elements essential while considering OL.Originality/value This article found major determinants of Gen-Z’s BI to adopt the OL in HEI. To the best of the author’s understanding, this is amongst the few studies to explore these ideas in the context of India. The uniqueness of the topic has been brought to light by the fact that “gender” has been employed as a moderator between attitude and BI, INF and PEU, and CSE and PU.

E-Government Services Adoption Assessment From the Citizen Perspective in Jordan

Jordanian government has made a commendable effort towards designing and disseminating e-government portals on the web. However, there are certain barriers that have caused a significant deterioration in the e-government development index (EGDI) rank for Jordan in the last few years. The paper aims to understand the influence of the factors relating to e-government adoption to improve upon the trailing factors and move further on the EGDI. This study proposes a research model considering constructs such as relative advantage, perceived trust, computer self-efficacy, perceived awareness, resistance to change on behavioral intention. The data were collected through questionnaire survey. The data were analysed using structural equation modeling (SEM) of AMOS 25.0. The results of the analysis showed that relative advantage, perceived trust, computer self-efficacy and perceived awareness have a positive and significant influence on behavioral intentions whereas resistance to change found to negatively influence the citizens' behavioral intentions to adopt the e-government services.

Identifying determinant factors influencing user’s behavioral intention to use Traveloka Paylater

The paylater payment feature is being widely discussed as an alternative payment system that offers simplicity and flexibility in settling digital business transactions with a 28 % to 38 % growth annually. Despite the popularity of Traveloka apps as the largest travel business platform that has been downloaded more than 100 million times, the number of Traveloka Paylater users is limited to only 8.6 % of the total users. The purpose of this study is to discuss what factors influence a user’s behavioral intention to use Traveloka Paylater. The study involved 360 Traveloka user respondents over 17 years old who knew the Paylater model of payment but never use Traveloka PayLater. The research found that computer self-efficacy affects perceived ease of use, security has an effect on trust, and social influence affects the behavioral intention to use Traveloka Paylater. Meanwhile, computer self-efficacy, perceived ease of use, perceived financial costs, security and trust do not have a positive influence on the behavioral intentions to use Traveloka Paylater. Users with a higher level of computer self-efficacy find it easier to use the services and more trust the platform that has a higher level of security. Social media were proven to have the greatest impact on potential users by encouraging them to use Traveloka Paylater services. Since Traveloka Paylater services also offer some attractive promotions, including discount prices, users won’t mind if there will be extra charges. The study shows that Traveloka Paylater becomes an attractive digital payment service due to its correlation with the credit system mechanism, which allows buyers to buy now but pay later using an installment plan. Traveloka Paylater shows promising growth since Indonesians are already familiar with the credit system. Since the majority of Traveloka Paylater users are the young generation, this method of payment will create hedonism of impulsive buying. To extend the number of target users of the older generation, the study revealed the urgency to provide more integrated simple registration methods as well as create attractive live chat features, monitor the system regularly, and work with well-known influencers to increase literacy.

Research on the Relationship Between Teacher Support and Learning Engagement in Chinese High School Information Technology Courses

Exploring the relationship between teacher support and students' learning engagement in high school information technology courses can help improve students' learning ability. The researchers took 246 high school students from a city in China as the research subjects and used structural equation modeling to explore the relationship between teacher support and learning engagement in high school information technology courses from the perspective of computer self-efficacy. The results show that teacher support, computer self-efficacy, and learning engagement are positively correlated. Teacher support has a positive effect on information technology learning engagement, and computer self-efficacy plays a partial mediating role in the relationship between teacher support and information technology learning engagement.

Exploring factors influencing students’ intention to use intelligent personal assistants for learning

ABSTRACT Intelligent Personal Assistants (IPAs) are becoming more prevalent in daily and educational contexts, increasing the possibility of using them as learning partners that can provide more personalized and learner-centric learning opportunities. However, research has primarily focused on educational advantages that IPAs may provide, overlooking investigation on students’ acceptance of IPAs. To address this gap, this study empirically explored factors influencing students’ intention to use IPAs for learning. A conceptual research model was designed based on the technology acceptance model. Data were collected from 1044 South Korean students, who were experienced in using IPAs. Results were analyzed using structural equation modeling. The findings indicate that the proposed model sufficiently explains students’ IPAs acceptance for their learning. In addition, students’ computer self-efficacy and self-management of learning ability were prominent factors influencing their intention. Moreover, their trust toward IPA and feeling of social presence on IPAs were found to be significant factors to be considered as well. Based on these findings, future recommendations for fostering students’ active use of IPAs for learning are discussed. Additionally, both theoretical and practical implications are highlighted.

The relationship between computer games and computer self-efficacy with academic engagement: the mediating role of students’ creativity

The relationship between computer games and computer self-efficacy with academic engagement: the mediating role of students’ creativity

Factors influencing teachers' satisfaction and performance with online teaching in universities during the COVID-19.

The COVID-19 pandemic has significantly changed the teaching model, promoting educational institutions to initiate more explorations in online teaching. This study examines the factors influencing teachers' online teaching performance and satisfaction in universities during the COVID-19. We applied a model of technology acceptance (TAM), expectation confirmation (ECM), and computer self-efficacy (CSE) to develop a questionnaire. The survey was used to collect data from 347 teachers from 6 universities in eastern China to identify factors affecting teachers' performance and satisfaction during the COVID-19. The results indicated that teachers' performance of online teaching is significantly affected by satisfaction, perceived usefulness, and perceived ease of use of online teaching. Meanwhile, confirmation of online teaching expectations and computer self-efficacy significantly impacted teachers' satisfaction with online teaching. This work is an original empirical study guided by multiple theories. It contributes to the online education literature and provides advice regarding how teachers' online teaching satisfaction and performance can be developed in a situation like the one that occurred with COVID-19. This work also broadens the application of TAM and provides an alternative theoretical framework for future research on teachers' online teaching performance.

The influence of relevance and computer self-efficacy on students’ behavioral intention in using the digital library

Abstrak: Penelitian ini bertujuan menganalisis penerimaan atau penolakan pengguna terhadap digital library dan mengidentifikasi faktor yang mempengaruhi niat mahasiswa dalam menggunakan digital library. Penelitian dilakukan pada mahasiswa Jurusan Pendidikan Ekonomi Angkatan 2019 dengan jumlah sampel 140 dari jumlah populasi 218 mahasiswa yang ditentukan menggunakan table krejcie dengan taraf signifikasi 0,05. Teknik analisis data yang digunakan dalam penelitian ini yaitu Structural Equation Modeling-Generalized Structured Component Analysis (SEM-GSCA) dengan menggunakan aplikasi GSCA pro. Hasil penelitian ini menunjukkan bahwa relevance memiliki pengaruh positif signifikan terhadap perceived usefulness digital library unesa. Computer self-efficacy berpengaruh positif signifikan terhadap perceived ease of use. Perceived usefulness dan perceived ease of use berpengaruh positif signifikan terhadap behavioral intention. Penelitian ini dapat memberikan wawasan terhadap pengelola sistem digital library agar menyediakan sistem yang memiliki perceived ease of use dan perceived usefulness karena 2 faktor tersebut sangat mempengaruhi niat mahasiswa dalam menggunakan digital library.Abstract: This study aims to analyze user acceptance or rejection of digital libraries and identify factors influencing students' intentions to use digital libraries. This study involved 140 students out of a population of 218 students from the 2019 Economics Department. The determination of the sample used the krejcie table with a significance level of 0.05. Data were analyzed using Structural Equation Modeling-Generalized Structured Component Analysis (SEM-GSCA) with the help of the GSCA pro application. The results of this study indicate that relevance has a significant positive effect on the perceived usefulness of the digital library of Surabaya State University. Computer self-efficacy has a significant positive effect on perceived ease of use. Perceived usefulness and perceived ease of use have a significant positive effect on behavioral intention. This study provides insight into digital library system managers in order to provide a system that has perceived ease of use and perceived usefulness, as these two factors greatly influence students' intentions to use the digital library.

Investigating the Use of Cloud Computing Services among Postgraduate Students at the University of Ibadan, Nigeria

Cloud computing services (CCS) offer many benefits which have improved their acceptance in the educational sector, especially, tertiary education. While it is true that the benefits of CCS include less worries about data loss, ease of accessibility and the ability to interact with data in real-time, there is no known study on how awareness of cloud computing services, perceived ease of use, computer self-efficacy, and intention to use CCS influence its actual use among postgraduate students in Nigeria. This study provides answers to four research questions and tests two research hypotheses. It adopts a descriptive survey design using a multistage sampling technique for data collection. Convenience sampling technique was used to select a sample size of 360 postgraduate students from the University of Ibadan, Nigeria. Descriptive statistics, Friedman mean rank, Spearman rank correlation and Multiple linear regression were used for analyses. The findings revealed that awareness of cloud computing services, perceived ease of use, and computer self-efficacy had significant relationships with the intention to use cloud computing services, and the intention to use cloud computing services had a significant influence on the actual use of cloud computing services among postgraduate students. The study recommends that university authorities should encourage courses that train students on the use of CCS, as well as course curricula to improve students’ computer self-efficacy and their use of cloud computing services. Keywords: Awareness, Cloud Computing, Self-Efficacy, Intention to Use, Perceived Ease of Use, Postgraduate students, Cloud Computing Services, University of Ibadan, Nigeria

Advanced Practice Nurses' Organization Commitment: Impact of Job Environment, Job Satisfaction, and Person-Organization Fit

The demand for advanced practice nurses has increased globally due to a shortage of physicians and an increased demand for high-quality healthcare. Research is needed on the enhancement of advanced practice nurses' organization commitment. Organization commitment directly impacts the retention of advanced practice nurses. This study aims to identify the key factors affecting the organization commitment of advanced practice nurses. A cross-sectional survey was conducted at the largest hospital in South Korea. A total of 189 advanced practice nurses answered survey questions. A partial least squares-structural equation modeling method with a method was employed to analyze survey responses. A pay scale of advanced practice nurses is positively associated with person-organization fit. However, the effect of job location and computer self-efficacy on person-organization fit is not significant. Job satisfaction plays a salient direct role in supervision and person-organization fit. Job satisfaction is also a significant moderator in the relation between supervision and person-organization fit. Person-organization fit is significantly associated with both organization commitment and supervision. Supervision has a positive effect on organization commitment. Pay scale, job satisfaction, supervision, and person-organization-fit are significant factors affecting organization commitment. Establishing an intra-organization entity, such as APN steering committee, to ensure mutual consensus and transparent communication between administrators and advanced practice nurses would enhance person-organization fit, rating of supervision, and organization commitment.