E-Learning System Success Adoption in Indonesia Higher Education

This study aims to analyze the success of the e-learning system, which is influenced by learner computer anxiety, social influence, perceived usefulness, and usage satisfaction. This study uses a survey, with the respondents being students at universities in the Special Region of Yogyakarta, Indonesia. The number of respondents is 250 people. The sampling technique is purposive sampling, and the data analysis method uses a structural model, namely PLS-SEM. The results showed that the e-learning adoption success model was accepted. However, this study's results showed that the effect of perceived usefulness and learner computer anxiety on adoption is not significant. This research has a novelty related to adopting innovations, namely e-learning in forced conditions, and there is no choice but online learning, which must be done during the Covid-19 pandemic. This research contributes to the support of the technology adoption theory by users in situations of involuntary adoption. Received: 14 October 2021 / Accepted: 30 November 2021 / Published: 3 January 2022

Gamification of E-Learning in African Universities

Gamification in education is a strategy of motivating and engaging students by integrating game design features into the instructional process. Although there is a growing body of scientific evidence supporting the effectiveness of gamification in the educational setting, some of the evidence is inconclusive and insufficient, especially in developing nations. The purpose of this study is to integrate the technology acceptance model and task technology fit to investigate instructors' intention to use gamified online learning. A sample of 50 participants across various African institutions was involved in this study. Structural equation modelling implemented via partial least squares (PLS) is used to test the research hypotheses. The results revealed that intention to use gamified online learning was significantly and positively influenced by task technology fit, perceived usefulness, and attitude. Notably, subjective norms, facilitating conditions, and computer anxiety failed to predict behavioural intention. The authors discuss the implications of the findings and propose future directions.

Computer self-efficacy, computer anxiety, cognitive skills, and use of electronic library resources by social science undergraduates in a tertiary university in Nigeria

This study investigated the influence of computer self-efficacy, computer anxiety, and cognitive skills on the use of electronic library resources by social science undergraduates in a tertiary institution in Nigeria. Survey research design was adopted and stratified random sampling technique was used to select 869 sample size from a population of 1452 social science undergraduates across five departments. A total of 793 questionnaire was properly filled and collated which equals a response rate of 91.3% from the population sample. Findings from the study revealed that there were significant relationships among computer selfefficacy, computer anxiety, cognitive skills, and use of electronic library resources by the respondents. Computer self-efficacy, computer anxiety, and cognitive skills individually and jointly had a significant influence on the use of electronic library resources of the respondents. Therefore, library management in the tertiary institution should give due consideration to computer self-efficacy, computer anxiety, and cognitive skills of the respondents when planning to enhance their use of electronic library resources among others.

Online Learning in the Era of COVID-19: Computer Anxiety and Mental Health Among College Students

The recent outbreak of the coronavirus (COVID-19) pandemic has brought significant changes to higher education. In response to the pandemic, many colleges, and universities around the world, especially in developed countries, are embracing online or distance education. Transitioning to online learning that involves the use of information technology such as the internet and digital platform for course delivery has increased dramatically (World Economic Forum, 2020). However, these sudden changes have left some to speculate that the shift to online learning will change students’ level of anxiety, stress, which could result in poor academic performance and low achievement of learning objectives. The purpose of this descriptive cross-sectional study is to investigate undergraduate and graduate students’ perceptions of their mental health and computer anxiety in the era of the COVID-19 pandemic. Descriptive statistics such as simple percentages and averages were calculated. Also, a one-way ANOVA was used for analyzing the collected data. Results indicate that general mental health was significantly correlated with computer anxiety. The results also indicate that computer anxiety and perceived stress predicted poor general health. Demographic factors, such as sex, and academic discipline were significant predictors of computer anxiety, but age was not a significant predictor of computer anxiety. Also, the results show that chronic physical disabilities are a significant predictor of computer anxiety, and overall mental health, however, the presence of learning disabilities was not a significant predictor of computer anxiety. Implications and considerations for future research are discussed.

The Effect of the Computer Anxiety Levels of Physical Education Teachers on Distance Education Competence: Structural Equation Model Analysis

The aim of the present study was to examine the effects of the computer anxiety levels of physical education teachers on distance education competencies during the Covid-19 pandemic process with a structural equation model. The study group consisted of a total of 141 physical education teachers, 60 of whom were female (42.6%) and 81 male (57.4%), who worked in private or public schools in Ankara, and who were selected with the convenient sampling method. In the study, the Distance Education Competencies Scale of Physical Education Teachers”, “Computer Anxiety Scale” and the Individual Information Form were utilized as the measurement tool. The “Distance Education Competencies Scale of Physical Education Teachers” that consisted of two sub-dimensions of “Planning and Technology Use” and “Implementation and Evaluation” consisting of 18 items in a 5-point Likert structure. In addition, the “Computer Anxiety Scale” that consisted of 10 items, 5 positive and 5 negative, as well as the Individual Information Form, which was prepared by the researcher to collect data in the study. Frequency Analysis, Kolmogorov Smirnov Test, Independent Groups t-test and One-Way Analysis of Variance were used in the analysis of the data, regression and structural equation modeling were used to analyze the effects of computer anxiety on distance education competencies. Also, Cronbach’s Alpha Coefficients were obtained to determine the reliability levels of the scale and its sub-dimensions; and it was found that the reliability of the scale and its sub-dimensions was at a sufficient level. Analyzes were performed by using the SPSS 20.0 and Amos 16.00 Software at a 95% Confidence Interval level. When the study findings were evaluated, no significant differences were detected between computer anxiety levels and distance education competencies in different age groups, education levels and institution types. According to the gender variable, the computer anxiety levels of male teachers were found to be at significant levels higher than those of female teachers. When the comparisons according to the branches were examined, the computer anxiety levels differed at significant levels according to the branch types (p<0.05) and the sub-dimensions of the distance education competency scale did not differ at significant levels according to the branch types (p>0.05). When the other variables were examined, the sub-dimensions of the distance education competency scale differed at significant levels according to school levels and professional seniority years (p<0.05) and the computer anxiety scale scores did not differ at significant levels according to school levels and professional seniority years (p>0.05). According to the regression model that was created to determine the effects of computer anxiety levels on distance education qualifications, it was found that computer anxiety did not have any significant impacts on planning and technology use, implementation and evaluation sub-dimensions (p>0.05).

University Students Intention to Continue Using Online Learning Tools and Technologies: An International Comparison

In recent years, universities have put enormous efforts to promote the use of online learning among students and lecturers. Despite this, little is known about the intention of students to use online learning. The objective of this research is to study the continuance intention of online learning in the post-COVID-19 period in higher education. The research focuses on online learning tools and technologies by applying a modified Expectation-Confirmation Model (ECM) developed from earlier theoretical models, including three new constructs: the self-management of learning, computer anxiety, and habit. The international research compares three countries—Spain (Europe), Chile (Latin America), and Jordan (Asia)—which differ economically and culturally. The Partial Least Squares approach (PLS-SEM) was used to test the research model. As a conclusion of the study, the relationships of the proposed model’s constructs vary among the three countries, given their socioeconomic, technological, and cultural differences. Interestingly, self-management learning is a key factor that has a significant positive influence on continuance intention for the three countries, especially in Jordan. This study makes an interesting contribution to existing research in education and discusses how learning can be made more sustainable in complex settings.

The Factors Influencing the Acceptance of Web-Based E-Learning System Among Academic Staffs of Saudi Arabia

It is possible to learn more quickly and effectively with e-learning software development because it provides learners with convenient and flexible learning environments. This allows them to progress further in their careers. Reports on web-based e-learning systems for inservice education have frequently neglected to include the viewpoint of the instructor. In order to conduct quantitative research, a sample of 50 academic staff members was selected. The purpose of this study was to investigate various factors that influence the intention to use webbased e-learning, with the theoretical foundation being provided by university lecturers. According to the findings of the study, the intention to use web-based e-learning for in-service training is positively correlated with the motivation to use the Internet and the belief in one's own ability to use the Internet. In terms of intentions to use web-based e-learning in-service training, a statistically significant increase in computer anxiety had an impact. University lecturers embraced Web-based e-learning systems because they believed they would be beneficial and because they were eager to put them to use

PSYCHOSOCIAL FACTORS INFLUENCING STUDENTS ATTITUDE TOWARDS COMPUTER BASED TEST

In recent times, the educational landscape of Nigeria has witnessed an increasing adoption of the computer-based test (CBT) for students assessment, especially in tertiary institutions. Perhaps, the phenomenon has been utilized for various purposes in the world of work. However, insinuations suggest a disparity in students attitudes towards the adoption of the system for exam purposes. Thus, the present research aims to examine computer anxiety and self-esteem as socio-psychological constructs contributing to the variation in students attitudes towards CBT in tertiary institutions. Two hypotheses were formulated to guide the study. A convenience sample of one hundred and ninety-five undergraduates pooled from various faculties in three public tertiary institutions in the Kogi state participated in the study. The respondents completed a self-report measure of attitude towards CBT, a computer anxiety scale, and the Rosenberg self-esteem scale. The result revealed that computer anxiety positively predicted the respondents attitude towards CBT. However, self-esteem negatively correlated with the students attitudes towards CBT. The study concludes that computer anxiety positively determines students attitudes towards adopting CBT for assessment purposes.

Validity and Reliability of the Persian Version of the Patient Readiness to Engage in Health Information Technology

Background:The patient readiness to engage in health information technology (PRE-HIT) is a conceptually and psychometrically validated questionnaire survey tool to measure willingness of patients with chronic conditions to use health information technology (HIT) resources.Objectives:This study was aimed to translate and validate a health information technology readiness instrument, the PRE-HIT instrument, in the Persian language.Methods:A rigorous process was followed to translate the PRE-HIT instrument Persian language. The face and content validity was validated by impact score, content validity index (CVI) and content validity ratio (CVR). The instrument was used to measure readiness of 289 patients with chronic diseases to engage with digital health with four point Likert scale. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) used to check the validity of structure. The convergent and discriminant validity, and internal reliability was expressed by average variance extracted (AVE), construct reliability (CR), maximum shared squared variance (MSV), average shared square variance (ASV), and Cronbach's alpha coefficient. Independent samples t-test and one-way ANOVA were used respectively to compare the impact of sex, education and computer literacy on the performance of all PRE-HIT factors.Results:Eight factors were extracted: health information needs, computer anxiety, computer/internet experience and expertise, preferred mode of interaction, no news is good news, relationship with doctor, cell phone expertise, and internet privacy concerns. They explained 69% of the total variance. An acceptable model fit and internal reliability of the instrument was achieved. The survey found that the Iranian patients had high level of cell phone expertise, computer/internet experience, good relationship with doctor, and high level of health information need. They had moderate level of concern about internet privacy and computer anxiety. Compared with men, women had higher level of health information need and more agreed with “no news is good news”, conversely men had higher level of cell phone expertise.Conclusion:The Persian version of the PRE-HIT was empirically proved for its validity to assess the level of readiness of patients to engage with digital health.