Online learning and distance education

The computer industry does not understand how adults learn (Knowles, 1983). A profound statement made nearly 40 years ago. With the advancement of technology and the tremendous growth of online learning, the learning management system (LMS) has become the tool for delivering distance education. E-learning platforms have witnessed exponential uptake by the education and corporate sectors over the past three to five years (Wadhwani & Gankar, 2020). From this author's experience in the field of instructional design and online instruction, all LMSs are just a "database with a different user interface (Price, 2016)". But are there opposing perceptions from the online learner regarding two different systems of learning? With the migration of one LMS to another LMS at a large public state university, can an assumption be measured to determine significant differences between the two LMSs?
This quantitative research aims to answer if there are significant differences in online student perception between two different learning management systems. Using responses to Instructor Evaluation Forms during four academic years (12 semesters), this study determined if a significant difference existed between the perceived quality of two learning management systems. Moreover, this study added to a minimal body of research regarding improving the quality of learning management systems based on the perception of online students.

eLearning continues to be the fasted growing segment of higher education. With this growth, challenges for higher education institutions have arisen. One of these difficulties is preparing students for learning online. A qualitative case study examined what strategies and processes contributed to student success in eLearning at a Florida public college based on the views of eLearning educators, faculty teaching online courses and the students who have taken online courses. The aspects reviewed were: 1. what contributed to student success, 2. what hindered student success, 3. what prepared students for learning online, and 4. what assistance was available for students that face challenges with online courses. The interviews and questionnaire were examined and compared from the perspectives of educators (eLearning staff and faculty teaching online courses), and students taking the courses, and documents reviewed from the site chosen, to show what are the most significant contributors and hindrances to eLearning success for participants at a Florida public state college.
The findings of this study show what helped student success, what hindered student success, what prepared students for eLearning, and what support was available to students while taking an eLearning course from the data collected through the student questionnaire, faculty and staff interviews, and document review. The data supports the finding that student motivation, student time management skills, eLearning course design, and the responsiveness and supportiveness of faculty contribute to the success of the student in eLearning courses. The data supports the finding that what hinders student success is when the student is overwhelmed, distracted, or lacks motivation or time management skills. Additionally, the design of the eLearning course can hinder the student and if there is a lack of faculty communication. The data supports the finding that what prepared students for eLearning was the College’s free eLearning orientation course that explains how to use the Learning Management System and the best practices of learning online. The data supports the finding that the support available to assist students that are enrolled in eLearning is College “Support”, Tutoring (both online and on campus), and their course professor.

This mixed methods study sought to uncover the needs of culturally diverse students in the online learning environment. Several of the unexplored factors that may contribute to high attrition rate among online undergraduate students, were also analyzed. The study examined how the variables of prior educational experience, age, gender, ethnicity, country of birth, and first or native language spoken contributed to success in online classes. The research also explored how institutional support contributed to the success of online learners.
Through the use of survey data collection and interviews, the results of this study indicated that culturally diverse learners reported three skills that are essential to their success in online learning environments: time management, self-directedness, and computer or technical skills. Students also indicated that institutional and instructor support are vital to their success in online classes. Although all variables examined were not significant predictors to the success of online learners, the results of this study provide insight into the needs of culturally diverse learners. These findings may be helpful to educators and policymakers when planning for or designing online courses for culturally diverse learners. These findings may also aid in reducing the high attrition rate of culturally diverse learners in online environments by encouraging more readiness assessments for students enrolling in online courses to determine their level of readiness for online learning.