The acceptance and use of a virtual learning environment in China

The success of a virtual learning environment (VLE) depends to a considerable extent on student acceptance and use of such an e-learning system. After critically assessing models of technology adoption, including the Technology Acceptance Model (TAM), TAM2, and the Unified Theory of Acceptance and Usage of Technology (UTAUT), we build a conceptual model to explain the differences between individual students in the level of acceptance and use of a VLE. This model extends TAM2 and includes subjective norm, personal innovativeness in the domain of information technology, and computer anxiety. Data were collected from 45 Chinese participants in an Executive MBA program. After performing satisfactory reliability and validity checks, the structural model was tested with the use of PLS. Results indicate that perceived usefulness has a direct effect on VLE use. Perceived ease of use and subjective norm have only indirect effects via perceived usefulness. Both personal innovativeness and computer anxiety have direct effects on perceived ease of use only. Implications are that program managers in education should not only concern themselves with basic system design but also explicitly address individual differences between VLE users.     

Impact of media richness and flow on e-learning technology acceptance

Advances in e-learning technologies parallels a general increase in sophistication by computer users. The use of just one theory or model, such as the technology acceptance model, is no longer sufficient to study the intended use of e-learning systems. Rather, a combination of theories must be integrated in order to fully capture the complexity of e-learners, who are both system users and learners. The current research presents an integrated theoretical framework to study users’ acceptance of streaming media for e-learning. Three streams of research provide the basis for this integrated framework: the technology acceptance model, flow theory and media richness theory. Students enrolled in an online section of an information systems course used one of three different combinations of text, streamed audio and streamed video. Regression analysis was used to test the hypotheses in this field experiment. Perceived ease of use was a predictor of perceived usefulness; both the perceived usefulness and the attitude of the user were predictors of intention to use. Richer content-presentation types were positively correlated with higher concentration levels but showed mixed results when correlated with perceived usefulness. Results from this study have practical implications for those interested in integrating streaming media into e-learning.     

e-Learning continuance intention: Moderating effects of user e-learning experience

This study explores the determinants of the e-learning continuance intention of users with different levels of e-learning experience and examines the moderating effects of e-learning experience on the relationships among the determinants. The research hypotheses are empirically validated using the responses received from a survey of 256 users. The results reveal that negative critical incidents and attitude are the main determinants of the users’ intention to continue using the e-learning, irrespective of their level of e-learning experience. In addition, the findings show that the user’s experience of the e-learning service plays a moderating role. The impact of negative critical incidents on perceived ease of use is greater for less experienced users. By contrast, the impact of negative critical incidents on perceived usefulness is greater for more experienced users. Perceived ease of use has a more critical effect on the attitude and continuance intention of less experienced users, whereas perceived usefulness is found to be a stronger determinant of the attitude and behavioral intention of more experienced users. Moreover, the relationship between satisfaction and continuance intention is stronger for less experienced users than for more experienced users. The implications of the present findings for research and managerial practice are analyzed and discussed.     

The effects of education compatibility and technological expectancy on e-learning acceptance

Discerning what influences a student’s acceptance of e-learning is still unclear and has not been well investigated. On the basis of the expectancy-value theory, much effort has been put into identifying the effectual factors regarding the technological expectancy of students. However, aside from technological usage, the adoption of an e-learning system still must consider learning behavior. Thus, researchers should take into consideration both technological and learning expectancies of students while investigating e-learning acceptance. Following mainstream literature on information system acceptance, this study postulates that a student’s behavioral intention to accept an e-learning system is determined both by his or her technological expectancy and educational compatibility. Four primary factors, that is, performance expectancy, effort expectancy, social influence, and facilitating conditions, specified in the Unified Theory of Acceptance and Use of Technology (UTAUT) are used to reflect the technological expectancy of students. Further, educational compatibility, which refers the congruence of e-learning systems with the unique leaning expectancies of students, is integrated with the UTAUT to form a new theoretical model for e-learning acceptance. An empirical survey is conducted to examine the proposed model. A total of 626 valid samples were collected from the users of an e-learning system. The findings show that both technological expectancy and educational compatibility are important determinants of e-learning acceptance. However, educational compatibility reveals a greater total effect on e-learning acceptance than does technological expectancy. Implications and practical guidelines for both e-learning developers and practitioners are subsequently presented.     

The role of experience and innovation characteristics in the adoption and continued use of e-learning websites

With the advent of e-learning technologies in the past decade, the accessibility of training, teaching, and learning has drastically increased. The challenge for the education enterprise now is how to attract learners to their e-learning services. In this study, a technology adoption model is developed to predict the users’ intention of adoption and their continued use behavior. The results show significant evidence in support of the hypothesis. The findings indicate that perceptions of relative advantage and compatibility are significantly related to users’ intention to use e-learning. Also, the intention is significantly related to their actual use of e-learning. Furthermore, the technology adoption of learners with prior e-learning experience is different from those without prior e-learning experience. These findings may contribute to deeper understanding of e-learning users’ perceptions in terms of adoption and continued use behavior.     

The influence of system characteristics on e-learning use

The benefits of an e-learning system will not be maximized unless learners use the system. This study proposed and tested alternative models that seek to explain student intention to use an e-learning system when the system is used as a supplementary learning tool within a traditional class or a stand-alone distance education method. The models integrated determinants from the well-established technology acceptance model as well as system and participant characteristics cited in the research literature. Following a demonstration and use phase of the e-learning system, data were collected from 259 college students. Structural equation modeling provided better support for a model that hypothesized stronger effects of system characteristics on e-learning system use. Implications for both researchers and practitioners are discussed.     

Investigating acceptance toward mobile learning to assist individual knowledge management: Based on activity theory approach

Mobile devices could facilitate human interaction and access to knowledge resources anytime and anywhere. With respect to wide application possibilities of mobile learning, investigating learners’ acceptance towards it is an essential issue. Based on activity theory approach, this research explores positive factors for the acceptance of m-learning systems. In the research, we developed an m-learning system for learners’ knowledge management and invited 152 participants who knew how to use the m-learning system then report on their experience. The results show that enhancing learners’ satisfaction, encouraging learners’ autonomy, empowering system functions, and enriching interaction and communication activities have a significant positive influence on the acceptance of m-learning systems.     

Acceptance of competency-based workplace e-learning systems: Effects of individual and peer learning support

Current endeavors to integrate competency-based learning approaches with e-learning systems designed for delivery of training to adult learners in the workplace are growing. However, academic efforts in examining learners’ perceptions of, and reactions toward, this technology-delivered pedagogical innovation are limited. Drawing together perspectives from the literature on training and instructional design and technology acceptance, this research proposed a conceptual model to examine the influences of perceived individual and social learning support on employees’ acceptance of competency-based e-learning systems. Structural equation modeling and multi-group structural equation modeling techniques were applied to sample data collected from work settings in Mainland China. The results show the positive effects of perceived individual learning support and perceived support for promoting a norm of cooperation on employees’ intention to use the competency-based e-learning system. It was also found that perceived support for enhancing social ties had a negative effect on employees’ behavioral intention. The gender, age, prior experience, and work experience differences in the main effects were also investigated. Besides, qualitative data collected via semi-structured in-depth interview provide complementary evidence to the findings.     

Dropout prediction in e-learning courses through the combination of machine learning techniques

In this paper, a dropout prediction method for e-learning courses, based on three popular machine learning techniques and detailed student data, is proposed. The machine learning techniques used are feed-forward neural networks, support vector machines and probabilistic ensemble simplified fuzzy ARTMAP. Since a single technique may fail to accurately classify some e-learning students, whereas another may succeed, three decision schemes, which combine in different ways the results of the three machine learning techniques, were also tested. The method was examined in terms of overall accuracy, sensitivity and precision and its results were found to be significantly better than those reported in relevant literature.     

Linking employees’ e-learning system use to their overall job outcomes: An empirical study based on the IS success model

e-Learning systems are increasingly being adopted by modern enterprises, because of their cost-down effect. However, the extant literature provides little insight into their beneficial consequences. It is expected that a transfer of acquired knowledge, skills and/or work attitudes to jobs will occur through e-learning systems use. This makes e-learning systems a useful tool for improving job outcomes, although this is not well documented. The IS success model, which captures both the human and technological elements of information systems, provides a theoretical basis for linking system use to system task. The current study then examines the relation between e-learning systems use and overall job outcomes based on the model. The data collected from one hundred and ninety-three e-learning system users were analyzed with partial least square (PLS). The results indicate that e-learning systems are perceived as useful and satisfying by employees, and employees’ e-learning systems use is significantly associated with overall job outcomes. In practice, these results provide a basis for establishing a link between an organization’s investment in e-learning and human capital management. They also lend empirical support to the IS success model.     

Clarifying the empirical connection of new entrants’ e-learning systems use to their job adaptation and their use patterns under the collective-individual training environment

In recent years, with the development of e-learning, it is feasible for enterprises to adopt information systems to enhance organizations’ human capital and knowledge renewal for competition. e-Learning systems designed for new entrants training aim to facilitate new entrants’ job adaptation; however, the empirical link between their system use and job adaptation lacks. In addition, the influence of environmental variables on new entrants’ e-learning training still needs clarification. Thus, based on the theoretical framework of the IS (information system) success model, this study is motivated to make an empirical connection of new entrants’ e-learning systems use to their job adaptation, including organizational socialization and overall job-adaptation outcome, and also to clarify their system use patterns under different collective-individual socialization training environments. Data from one hundred and eighty-six valid respondents who entered their organizations within a year were gathered and analyzed with PLS (partial least square). The results suggested the valid connection of new entrants’ e-learning systems use to their organizational socialization and overall job-adaptation outcome. New entrants also presented partially different system use patterns for adaptation under the different human interaction environments. The findings facilitated the design of training programs for new entrants at the e-learning environment.     

Guidelines for the development of e-learning systems by means of proactive questions

The current development approaches for e-learning systems fail to explain in a clear and consistent way the pedagogical principles that support them. Moreover, decisions with regard to the structuration of each component proposed by these approaches are mainly taken by the designer/developer. As a result, the ensuing e-learning systems reflect “common sense” rather than a theoretically informed and systematic design.The present paper proposes a global architecture model for any e-learning system whose blocks are extracted from the analysis of the main approaches that currently guide the development of these kinds of systems. We use Kipling’s famous questions to define and structure the blocks of the proposed model, and we base the answers to these questions on two disciplines that are closed to e-learning: presential education (i.e., its pedagogical theories) and knowledge management.     

The relationship between class size and online activity patterns in asynchronous computer conferencing environments

This study analyzes the relationship between class size and student online activity patterns in a series of 28 graduate level computer conferencing courses. Quantitative analyses of note production, average note size, note opening and note reading percentages found a significant positive correlation between class size and mean number of notes generated. Significant negative correlations were found between class size and average note size and between class size and percent of notes opened. Analyses of average reading speeds among large classes and small classes revealed that students in large classes were more likely to scan lengthy notes (i.e., notes that contain more than 350 words). Possible explanations for these results are discussed.     

Team development and group processes of virtual learning teams

This study describes the community building process of virtual learning teams as they form, establish roles and group norms, and address conflict. Students enrolled in an HRD masters program taught entirely online were studied to determine (1) how virtual learning teams develop their group process, and (2) what process and strategies they use as they work through the stages of group development. Both quantitative and qualitative methods of inquiry were used to capture the dynamic interaction within groups and the underlying factors that guided group process and decision-making. The results show that virtual learning groups can collaborate effectively from a distance to accomplish group tasks. The development of virtual learning teams is closely connected to the timeline for their class projects. Virtual teams are also similar in terms of their task process and the use of communication technologies. In contrast to face-to-face teams, the leadership role of virtual teams is shared among team members. Recommendations are discussed in order to facilitate peak integration of virtual learning teams into Internet-based training courses.     

Delivering unprecedented access to learning through podcasting as OER,but who's listening? A profile of the external iTunes U user

Little is known about the learners who download iTunes U resources but do not belong to the Higher Education institutions that provide them. This paper presents the first full profile of the external iTunes U learner and their practices and opinions of the materials they download. The data was gathered through a large survey (over 2000 responses) carried out over two years using the iTunes U site from The Open University. It shows that external iTunes U learners are very different from the internal users and practices described in the literature so far: there are more men than women, mostly middle-aged, and they use the resources mostly for personal reasons. Despite the fact that respondents used the iTunes U site from a distance university, the paper argues that the respondents are comparable to external learners who use resources from other iTunes U sites. This profile of the iTunes U user provides a clearer picture of the target listener and can help inform and improve the materials design and delivery strategies for iTunes U as an independent learning tool and Open Educational Resources (OER) in general. The article also proposes areas for further research and argues for more studies into external learners' use of podcasting resources.     

E-training: Can young and older users be accommodated with the same interface?

This work explores the feasibility of proposing universal design guidelines for E-training modules considering aging differences as an important factor. A controlled experiment was designed and conducted to evaluate the effects of module design characteristics on information recall, satisfaction, disorientation, and task workload, and the implications for E-Training. Sixteen Web modules with two different lesson content types were developed for this study, considering different independent variables such as camera focus, environment simulator, video size, and instructor’s gender. The experimental results suggest that an interface that ensures high levels of satisfaction and information recall as well as low levels of disorientation and task workload could be accomplished only partially if young and aging participants were to be target simultaneously with the same type of training module. Based on the results of this study the specific preferences in design suggest an interface that provides narrative type information, where a large video is displayed with a realistic background, and text is larger than18 point font avoiding colored text, is preferred over other combination of design variables.     

Quality enhancement for e-learning courses: The role of student feedback

The collection of student feedback is seen as a central strategy to monitor the quality and standards of teaching and learning in higher education institutions. The increasing use of technology to support face-to-face, blended and distance courses has led managers as well as practitioners to become increasingly concerned to identify appropriate ways of assuring the quality of this e-learning provision. This paper presents a study of the collection of student feedback in higher education e-learning courses and the use of this feedback for quality assurance and enhancement. We carried out a series of case studies of the procedures in place in four e-learning courses, and in each case study we collected the quality assurance documentation and interviewed stakeholders (administrators, educational technologists, tutors and students). The comparative examination of these two sets of data showed that the main strategies for collecting student feedback – module evaluations and student representation – were both strongly affected by the distinctive features of the mode of delivery in e-learning courses, and as a consequence they were not able to adequately support quality enhancement. The remote location of the students impacted on both student representation and on the response rates for module evaluations. The enhancement function of the module evaluations were adversely affected by lack of appropriate course management arising from the disaggregation of course processes and the resulting ambiguity in the allocation of responsibilities.     

The acceptance of Moodle technology by business administration students

The advent of information technologies to Universities has improved the teaching-learning process. Students can increase their learning skills using information technology. Those using the Moodle platform regularly seem to get better grades than those who rarely or never use it.This paper analyzes students’ intention to use Moodle platforms to improve the teaching-learning process. Its main focus is to analyze the use of the Moodle platform by University students, identifying factors which might influence the intention to use it. Understanding the factors influencing the intention to use Moodle will allow us to determine which actions might be carried out to boost its use by University students, to therefore, improve both their skills and grades.The theoretical grounding for this research is the Technology Acceptance Model (TAM). TAM specifies the causal relationships between perceived usefulness, perceived ease of use and actual usage behavior. The proposed model has six constructs and nine hypotheses have been generated from the connections between these six constructs. These constructs include perceived compatibility with student tasks, perceived usefulness for professors, and training. Our results provide support for a number of relationships in the hypothesized model. In light of these findings, implications for theory and practice are discussed.     

Toward interactive mobile synchronous learning environment with context-awareness service

Mobile synchronous learning is a new challenge in the e-learning domain. While popular mobile communication devices, such as cell phones, cannot directly accommodate traditional synchronous content due to the major limitation of display size, other constraints also restrict convenient interactions while using mobile devices in a synchronous learning environment. These problems have motivated the authors of this study to design a context-awareness synchronous learning system and to develop a corresponding pedagogical framework. Different than existing synchronous learning strategies, the proposed system enhances the feedback mechanism and implements an enhanced model for achieving mobile interaction in a synchronous learning environment. The enhanced model is named Interactive Service Module, which enables interactions between teachers and students via short message delivery. In the proposed synchronous learning environment, different kinds of learning devices are used to access the same source of synchronous content simultaneously. To accommodate the diversity of devices, several content styles have been developed and an appropriate style can be selected to a learner via a decision mechanism. This mechanism is based on fuzzy weighted average technique to measure the average computational power for each device. Finally, questionnaires were used to evaluate the usability of the proposed synchronous learning environment, and the results indicate that our system can facilitate synchronous learning by enabling students to access lessons conveniently and efficiently from a wide variety of locations, using common mobile communication devices.