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The purpose of this paper is to examine factors that predict students’ continued usage intention of web-based learning management systems (LMS) in Tanzania, with a specific focus on the School of Business of Mzumbe University. Specifically, the study investigated major predictors of actual usage and continued usage intentions of e-learning system, and challenges of using the e-learning system.

Data were collected through a questionnaire survey of 300 third year undergraduate students, with a rate of return of 77 per cent. A total of 20 faculty members were also interviewed. The unified theory of acceptance and use of technology (UTAUT) was utilized in the study.

The results show that actual usage was determined by self-efficacy, while continued usage intentions of web-based learning system was predicted by performance expectancy, effort expectancy, social influence, self-efficacy, and actual usage. Challenges for using web-based LMS were related to information and communications technology (ICT) infrastructure barrier, LMS user interface was not user friendly, weak ICT policies, management and technical support, limited skills, lack of awareness, resistance to change, and lack of time to prepare e-content and use the e-learning system.

The study findings are useful to e-learning managers and university management to identify important factors and develop appropriate policies and strategies to encourage long-term usage of e-learning systems for future studies and lifelong learning.

By using UTAUT in the context of continued usage intentions and the integration of an additional construct (“self-efficacy”), the extended UTAUT model fits very well in the web-based learning systems in Tanzania, in particular where such studies are scant. The findings can be used in other institutions with similar conditions in investigating the continued usage intentions of e-learning systems.

Universities across the globe are spending an increasing amount of their budgets to offer web-based services to cater information need especially off-campus students. However, the success of web-based services depends on how well the target users are satisfied with the use of the web services. The purpose of this paper is to assess students’ satisfaction with the use of the Allama Iqbal Open University (AIOU) web-based services.

Pilot tested questionnaire-based survey was administered to collect data from a sample of 388; selected through systematic sampling technique from the study’s population consisted of master level students belonged to 11 different academic departments of the Faculty of Social Science and Humanities at the AIOU from all over Pakistan.

Based on 318 useful questionnaires, response rate 82 percent, the results show that majority of the students were satisfied with the use of at the AIOU web-based services except for online mailing books tracking system, library web OPAC and web radio service. However, t-test analysis shows that no difference was found in the opinion of male and female respondents in terms of their satisfaction with the use of the web services. ANOVA results indicate that there was no significant difference depicted in satisfaction with the use of the web services among the respondents enrolled in different disciplines of the faculty. Similarly, no significant difference was found among different age groups. Moreover, the respondents belonging to all five provinces; Punjab, Khyber Pakhtunkhwa, Sindh, Baluchistan, Gilgit Baltistan, and Federal Capital territory showed the same level of satisfaction with the use of the services. The results of regression analysis (R²=0.226) denote that both perceived usefulness and perceived ease of use significantly predicted, 22.6 percent, in students’ satisfaction with the use the web services.

The study provides valuable recommendations which may be helpful for web administration of the university to improve AIOU web-based services.

To the best knowledge, this is the first study conducted to investigate the satisfaction with the use of the university web-based services in distance education’s perspective of Pakistan.

The purpose of this paper is to investigate the nomological web between technology acceptance model metrics such as perceived ease of use, perceived usefulness, perceived web privacy of e-learning resources on attitude and behavioural intention of virtual platform for learning by university students.

The study employed a quantitative method by using self-administered survey instruments among university students who have at least one year of e-learning experience. Psychometric nomenclature of survey instruments was conducted and the reliability and validity metrics of perceived ease of use, perceived usefulness, extent of e-learning use, perceived web-based privacy, attitude and behavioural intentions meet the threshold as established in extant literature. Correlation and regression analysis were conducted to explicate hypothesised relationship.

The study found out that e-learning use, perceived usefulness and attitude are associated with learners behavioural intentions, while perceived ease of use and perceived web-based privacy are not significantly associated with behavioural intentions of e-learners in Botswana. The findings further showed in the regression analysis that the extent of e-learning use, perceived usefulness, perceived ease of use and attitude are significantly related to behavioural intentions, while the perceived web-based privacy is not significantly related to behavioural intentions.

The e-learning processes thus help outline the effective marketing strategies and promotions or nichemanship among university students which help uncover the influence of innovation metrics on e-learning among the youth target audience in Botswana as the country seeks to achieve a paradigm shift from mineral-led economy to knowledge-based society.

Despite the popularity of e-learning approach as explicated in extant literature, the extent to which such platform is accepted with respect to security and reliability most especially in an emerging economy like Botswana is ambiguous. This study thus seeks to establish the extent to which e-learning in Botho University and Botswana Open University creates a platform for intention to use as regards technological acceptance parsimonious model in Botswana.

Acting in an increasingly complex and dynamic global world requires students to analyze and discuss professionally many of the international challenges that the world is facing due to globalization. The purpose of this paper is to describe and evaluate the implementation of information and learning technologies (ILTs) in the practical case of the web-based negotiation game “Surfing Global Change (SGC),” which fosters holistic thinking and consensus building. The paper analyzes the technological and social processes during the game and provides a brief overview of its content, in this case the migration and refugee crisis in Austria in 2015.

Review and evaluation of the social and technological processes connected to SGC by one participating student, in this case the author of this paper, to enhance students’ points of view on ILTs.

The implementation of ILTs in university learning environments enhances student motivation and optimizes learning experiences. By slipping into different roles, taking perspectives and finding a consensus, SGC fosters holistic thinking, sensitivity, negotiation and problem-solving skills, which are essential in a variety of multi-cultural settings.

The results obtained are based on a single case study and a single student’s viewpoint. According to the rules of SGC, the chapter that focuses on the case study, i.e., the refugee and migration crisis in Austria, is written from the perspective of the stakeholder “concerned citizen” and does not necessarily reflect the personal opinion of the author.

Participants’ perspectives of, experiences with and evaluations of ILTs are essential to improve the quality of web-based learning tools, such as SGC.

The purpose of this study is to identify the factors that influence the willingness of Saudi Arabian students from four universities in Saudi Arabia, to adopt learning management systems (LMSs). This will be accomplished by using two popular technology acceptance models unified theory of acceptance and use of technology (UTAUT) and theory of planned behavior (TPB).

In total, 445 undergraduates from four Saudi educational institutions participate in filling out the study questionnaire. To investigate the correlations between the variables, the study used structural equation modeling for data analysis.

The results of the study show that effort expectancy (EE), subjective norm (SN), attitude toward behavior (ATB) and perceived behavioral control (PBC) are found to be substantially connected with their intentions to use (ITU) LMSs. The findings also show that there is a strong relationship between students’ intentions and their actual use of LMSs.

Like many studies, this research has some limitations. The primary limitation is that the findings of the study cannot be extrapolated to other settings since the report’s analysis and investigation were limited to four Saudi universities. Therefore, to generalize the study’s findings, similar research needs to be conducted in other Gulf and similar cultural universities.

The integrated model identifies key factors that influence the intent of Saudi Arabian students to use LMS, including EEs, social influence, ATB and PBC. This model can help develop solutions for the obstacles that prevent students from using LMS. The findings can be used to provide assistance to increase the likelihood of LMS acceptance as part of the educational experience. The model may also inspire further research on this topic in the Gulf nations, particularly in Saudi Arabia.

As none of the relevant studies conducted previously in Saudi Arabia has integrated the two models to study the students’ ITU LMSs, this study combines two major theories, TPB and UTAUT, in the context of Saudi Arabia, contributing to the field of technology use in education by expanding empirical research and providing a thorough understanding of the challenges associated with the use of LMS in Saudi universities. This study should be viewed as filling a crucial gap in the field. Moreover, this integrated model, using more than one theoretical perspective, brings a thorough comprehension of the barriers that hinder students’ adoption of LMSs in the academic context in Saudi Arabia and thus assists in making effective decisions and reaching viable solutions.

According to expectation–confirmation model (ECM) and task-technology fit (TTF) model, the purpose of this paper is to examine the role of TTF in students’ cloud-based e-learning continuance and evaluate whether TTF affects students’ perceived impact on learning of the cloud-based e-learning system within the educational institution.

Sample data for this study were collected from students enrolled in a comprehensive university in Taiwan. A total of 500 questionnaires were distributed in the campus, and 391 (78.2 percent) usable questionnaires were analyzed using structural equation modeling in this study.

This study’s results verified that both task characteristics and technology characteristics affected students’ perceived TTF, which significantly contributed to their perceived usefulness, confirmation and satisfaction with the cloud-based e-learning system, and these in turn directly or indirectly led to their continuance intention of the system and perceived impact on learning; essentially, the results strongly supported the research model integrating ECM and TTF model via positioning key constructs as the drivers with all hypothesized links being significant.

This study contributes to an understanding of the TTF in explaining students’ cloud-based e-learning continuance that is difficult to explain with only their utilitarian perception of the cloud-based e-learning system, and further places considerably more emphasis upon students’ perceived impact on learning greatly driven by their TTF in the system. Thus, this study’s empirical evidence on incorporating ECM and TTF model can shed light on the outcome for cloud-based e-learning continuance and enhance better understanding of a richer post-adoption model.

The purpose of this study is to propose a research model based on expectation-confirmation model (ECM) to examine whether interactivity and course quality factors (i.e. course content quality, course design quality) as antecedents to student beliefs can influence students' satisfaction and continuance intention of the cloud-based electronic learning (e-learning) system within the educational institution.

Sample data were collected from students enrolled in a comprehensive university in Taiwan. A total of 600 questionnaires were distributed in the campus, and 515 (85.8%) useable questionnaires were analyzed using structural equation modeling.

Findings showed that students' perceptions of interactivity, course content quality and course design quality positively significantly contributed to their perceived usefulness, confirmation and satisfaction with the cloud-based e-learning system, which in turn directly or indirectly led to their continuance intention of the system. Thus, the results strongly supported the research model based on ECM via positioning key constructs as the drivers with all hypothesized links being significant.

This study identifies three factors (i.e. interactivity, course content quality, course design quality) as drivers from the learner perspective within the cloud-based e-learning environment, and links these factors to students' satisfaction and continuance intention of the cloud-based e-learning system based on ECM. It is particularly worth mentioning that the three drivers can serve as precursors for recognizing the determinants that are crucial to understand students' satisfaction and continuance intention of the cloud-based e-learning system. Hence, this study may provide new insights in nourishing the cloud-based e-learning continuance literature in the future.

The purpose of this study is to propose an integrated model based on expectation–confirmation model (ECM), flow theory and human–organization–technology fit framework to examine whether human, organizational and technology factors as antecedents to medical professionals' beliefs can affect their continuance intention of the cloud-based e-learning system.

Sample data for this study were collected from medical professionals at five hospitals in Taiwan. A total of 500 questionnaires were distributed, and 368 (73.6%) useable questionnaires were analyzed using structural equation modeling in this study.

Synthetically speaking, human, organizational and technology factors, as antecedents to medical professionals' continuance intention of the cloud-based e-learning system have been examined, and the results strongly support the research model with all hypothesized links being significant.

Particularly, it is worth mentioning that the application of capturing both ECM and flow theory for completely explaining three types of factors (i.e. human, organizational and technology factors) as external variables to medical professionals' cloud-based e-learning continuance intention is well documented, that is, information systems (IS) and nonIS determinants are simultaneously evaluated, and extrinsic and intrinsic motivators are both taken into consideration in this study's theoretical development of medical professionals' cloud-based e-learning continuance intention to acquire a more comprehensive and robust analysis.

This study aims to investigate factors that could predict the continued usage of e-learning systems, such as the learning management systems (LMS) at a Technical University in Ghana using machine learning algorithms.

The proposed model for this study adopted a unified theory of acceptance and use of technology as a base model and incorporated the following constructs: availability of resources (AR), computer self-efficacy (CSE), perceived enjoyment (PE) and continuance intention to use (CIU). The study used an online questionnaire to collect data from 280 students of a Technical University in Ghana. The partial least square-structural equation model (PLS-SEM) method was used to determine the measurement model’s reliability and validity. Machine learning algorithms were used to determine the relationships among the constructs in the proposed research model.

The findings from the study confirmed that AR, CSE, PE, performance expectancy, effort expectancy and social influence predicted students’ continuance intention to use the LMS. In addition, CIU and facilitating conditions predicted the continuance use of the LMS.

The use of machine learning algorithms in e-learning systems literature has been rarely used. Thus, this study contributes to the literature on the continuance use of e-learning systems using machine learning algorithms. Furthermore, this study contributes to the literature on the continuance use of e-learning systems in developing countries, especially in a Ghanaian higher education context.

The purpose of this paper is to provide a holistic view on e-learning-related concepts as a basis for an e-learning strategy. Furthermore, it aims to shed light on the level of application of existing open-source learning management systems (LMS) by the public and private universities of Cyprus. Due to a currently existing information gap in the field, the study should rather be seen as an exploratory descriptive snapshot to create initial awareness based on which further hypotheses can be derived for future studies.

Quantitative research has been conducted in this study with an online questionnaire distributed to all the public and private universities in Cyprus.

The conducted research analysis results clearly illustrate the comparisons among different features and services of an e-learning platform. Additionally, the analysis results highlighted the tendency of the participants toward a social learning environment which was considerably high in using social networks and other collaboration platforms, as students were more attracted to those e-learning platforms that integrate social learning elements such as various social media tools.

The only data collection method used was the online questionnaire. Even though it provided the researchers with sound and useful outcomes in a considerably short time, the validity of the results was not properly justified. The findings cannot claim to be representative. The main reason of selecting only one type of data collection method, i.e. questionnaire was the limited time of completing the research. Another significant limitation was the very low co-operation level of some of the universities under study which resulted in having less reliable results, as the response rates of some universities were merely 1 per cent.

This research study provides a comprehensive body of knowledge about LMS and e-learning, in general, within the public and private universities in Cyprus. In other terms, the results of this study enhance the existing knowledge about the e-learning features as well as demonstrating the tendency of the students toward social learning within an LMS.