Entering the Mainstream: The Quality and Extent of Online Education in the United States, 2003 and 2004

Presents key findings from a survey of over 1,100 colleges and universities that looks at the growth of online enrollments, the quality of online offerings, student satisfaction, and the role of online learning in the long-term strategy of schools

Factors affecting e-Learning effectiveness in a higher learning institution in Malaysia

The purpose of this research was to investigate factors that influence the effectiveness of the e-learning system in a higher learning institution. The participants were students randomly selected from diploma and degree programs. The main instrument was a questionnaire that was distributed to the students. The researchers collected 205 completed questionnaires out of a total of 300. Four factors were chosen as independent variables namely: reaction and satisfaction,learning outcome and achievement, familiarity with online learning technology, and participation and interaction. It was found that the effectiveness of the e-learning system was significantly affected by reaction and satisfaction, learning outcome and achievement, and familiarity with online learning technology. The participation and interaction factor had no apparent effect on the effectiveness of the e-learning system. Therefore, it is recommended that higher learning institutions interested in introducing e-learning should focus on students’ reaction and satisfaction towards the system.E-learning should focus on learning outcomes and achievement. It is also recommended that institutions first look into the issue of familiarity with online learning technology among students before introducing the e-learning system so as to determine whether students are comfortable with the online learning tools

The Effects of Motivation, Technology and Satisfaction on Student Achievement in Face-to-Face and Online College Algebra Classes

Demand for online learning has increased in recent years due to the convenience of class delivery. However, some students appear to have difficulties with online education resulting in lack of completion. The study utilized a quantitative approach with archival data and survey design. The factors of demographics, motivation, technology, and satisfaction were compared for face-to-face and online students. MANCOVA tests were performed to analyze the data while controlling age and gender to uncover significant differences between the two groups. The sample and population for this study were predominantly Hispanic students. Motivation and Technology were non-significant, but satisfaction was proven to be significant. In face-to-face courses, females were more satisfied than males. While in online courses, males were more satisfied than females. There was an interaction effect between the methods of instruction and the grade levels of A, B, C, D, and F/W on the dependent variables; Motivation, Technology, and Satisfaction

Factors influencing student satisfaction and perceived learning in online courses

Online education, with its genuine characteristics, has changed the way students experience learning processes. This fact led research to study the aspects of online learning settings that influence the way students experience their learning, and several aspects were identified from this effort. However, usually each study focuses on only one or a few of these aspects, and some results are contradictory. In this study the authors consider together, in an integrated model, most of the aspects identified by the literature in order to determine which aspects are more influence for students' satisfaction and perceived learning. With this aim, they conducted a correlation and ANOVA analysis on the responses to a questionnaire answered by 499 students of higher education social sciences online courses in the USA, China and Spain. They found that the most influential aspects of the online courses in social sciences on students' satisfaction and perceived learning were learning content and course design

Privacy and Usability of Image and Text Based Challenge Questions Authentication in Online Examination

In many online examinations, physical invigilation is often replaced with traditional authentication approaches for student identification. Secure and usable authentication approaches are important for high stake online examinations. A Profile Based Authentication Framework (PBAF) was developed and implemented in a real online learning course embedded with summative online examination. Based on users’ experience of using the PBAF in an online course, online questionnaires were used to collect participants' feedback on effectiveness, layout and appearance, user satisfaction, distraction and privacy concerns. Based on overall findings of the quantitative analysis, there was a positive feedback on the use of a hybrid approach utilizing image and text based challenge questions for better usability. However, the number of questions presented during learning and examination processes were reported to be too many and caused distraction. Participants expressed a degree of concern on sharing personal and academic information with little or no privacy concern on using favorite question

Unravelling the dynamics of learning design within and between disciplines in higher education using learning analytics

Designing effective learning experience in virtual learning environment (VLE) can be supported by learning analytics (LA) through explicit feedback on how learning design (LD) influences students’ engagement, satisfaction and performance. Marrying LA with LD not only puts existing pedagogical theories in instructional design to the test with actual learning data, but also provides the context of learning which helps educators translate established LA findings to direct interventions. My dissertation aims at unpacking the complexity of LD and its impact on students’ engagement, satisfaction and performance on VLE using LA. The context of this study is 400+ online and blended learning modules at the Open University (OU) UK. This research combines multiple sources of data from the OU Learning Design Initiative (OULDI), system log data, self-reported surveys, and performance data. Given the scope of this study, a wide range of visualization techniques, social network analysis, multi-level modelling, and machine learning will be used

Applying the interaction equivalency theorem to online courses in a large organization

Finding effective ways of designing online courses is a priority for corporate organizations. The interaction equivalency theorem states that meaningful learning can be achieved as long as courses are designed with at least a high level of one of three types of interactions (learner-content, learner-teacher or learner-learner). This study aimed to establish whether the interaction equivalency theorem applies to online learning in the corporate sector. The research was conducted in a large Mexican commercial organization, and involved 147 learners (sales supervisors), 30 teachers (sales managers and directors) and 3 academic assistants (course designers, or Education support staff). Three courses of an existing Leadership Program (Situational Leadership, Empowering Beliefs and Effective Performance) were redesigned and developed to test three course designs, each emphasizing a different type of interaction (learner-content, learner-teacher or learner-learner). Data were collected through surveys (for diagnostic and evaluation purposes) and exams. All courses yielded high levels of effectiveness, in terms of satisfaction, learning, perceived readiness for knowledge transfer and return on expectations. This suggests that the interaction equivalency theorem not only applies in a business setting but might also include other indicators of course effectiveness, such as satisfaction, learning transfer and return on expectations. Further research is needed to explore the possible expansion of the theorem

A review of predictive factors of student success in and satisfaction with online learning

Students perceive online courses differently than traditional courses. Negative perceptions can lead to unfavourable learning outcomes including decreased motivation and persistence. Throughout this review, a broad range of factors that affect performance and satisfaction within the online learning environment for adult learners will be examined including learning outcomes, instructional design and learner characteristics, followed by suggestions for further research, and concluding with implications for online learning pertinent to administrators, instructors, course designers and students. Online learning may not be appropriate for every student. Identifying particular characteristics that contribute to online success versus failure may aid in predicting possible learning outcomes and save students from enrolling in online courses if this type of learning environment is not appropriate for them. Furthermore, knowing these learner attributes may assist faculty in designing quality online courses to meet students’ needs. Adequate instructional methods, support, course structure and design can facilitate student performance and satisfaction

The promise and perils of asynchronous learning: how faculty, students, and administrators can collaboratively increase retention and satisfaction in the online classroom

This paper explores some of the major challenges faced by faculty, students, administrators, and support staff in retaining online students, and doing so while earning high marks for the quality of each course. A number of strategies are explored beginning with the need to carefully consider effective mixes of technology, structure, and content in the classroom environment. With an emphasis on social presence and careful consideration of how students use technology to access the class learning management system (LMS), the paper offers a variety of options to build classroom spaces that foster a sense of community and collaboration. Thereafter the paper addresses best practices to turn well‐ considered design elements into a classroom experience which addresses issues related to retention, achieving learning outcomes, and ensuring students and faculty invest in the learning process from day one. By addressing concerns shared by the major actors in the field of online education, realistic best practices can be identified to help ensure online learning achieves, if not exceeds, retention and satisfaction levels seen from brick‐and‐mortar classrooms