With the ever-increasing availability of online education opportunities, understanding the factors that influence online student satisfaction and success is vital to enable administrators to engage and retain this important stakeholder group. The purpose of this ex-post-facto, nonexperimental quantitative study was to investigate the impact of faculty professional development, faculty degree status, and faculty longevity upon online student satisfaction and success. A large, archived dataset from an online public
state university was analyzed. Repeated measures Hierarchical Linear Modeling (HLM) analysis was used to explore changes in student satisfaction over time. Results showed that both training and degree were not significant predictors of student satisfaction. On the contrary, faculty longevity was found to be a predictor of student satisfaction. Recommendations for future research include incorporating qualitative analysis and expanding the study to diverse institutional types to determine whether findings are consistent.
Meaningful technology use in education continues to improve given an increase in access to available technologies and professional development. For educators, professional development has focused on approaches for technology use that foster content-specific best practices and improve student learning in traditional classroom formats. Meaningful technology integrations are not, however, limited to traditional classrooms. In fact, the push for distance and online education in postsecondary contexts has complicated the issue; faculty must develop and balance content-specific practices with technology
pedagogies for asynchronous learning environments to maximize opportunities for student learning. In this article, the authors discuss the findings from a secondary review of research and theoretical applications for faculty development. One model for faculty training based on these findings is posited.
The purpose of this descriptive quantitative study was to examine the quality elements of online learning in a regional doctoral
program. Utilizing the six quality dimensions of Hathaway’s (2009) theory of online learning quality as a framework, the study
investigated instructor-learner, learner-learner, learner-content, learner-interface, learner-instructional strategies, and social
presence in order to explore the frequency and importance of these elements. A likert-style survey administered through Qualtrics was used to report self-perceptions of the doctoral students and faculty members. Descriptive statistics for the survey and subscales indicated alignment with the review of literature. Course design, instructor’s facilitation, and student interaction were factors impacting learning outcomes (Eom, Wen, & Ashill, 2006). Faculty participation was also found to dramatically improve the performance and satisfaction of students (Arbaugh & Rau, 2007; Hrastinski, 2009). Resultantly, five conclusions emerged from
the study. First doctoral students and faculty valued the frequency of corporate interaction, clear prompt feedback, and multiple
opportunities to learn and demonstrate learning. Secondly, instructor to learner interaction has to be an intentional practice. Third, the inclusion of learning technologies is necessary for building relationships, making connections and giving credibility to the learning environment. The fourth conclusion revealed that students were more concerned with the quality of assignments than faculty; and finally, faculty responses to students’ discussions is an area for improvement in the online program.
Administrators at many colleges and universities have had online courses at their institutions for many years, now. One of the hidden challenges about online courses is that they tend to be observed and evaluated far less frequently than their face-to-face course counterparts. This is party due to the fact that many of us administrators today never taught online courses ourselves when we were teaching. This article provides six "secrets" to performing meaningful observations and evaluations of online teaching,
including how to use data analytics, avoid biases, and produce useful results even if observers have never taught online themselves.
The purpose of this quantitative study was to determine if a learning contract supported student milestone and degree completion for online doctoral degree programs. Further, students provided insights into aspects of the learning contract that were most supportive of their dissertation process. Data from this study were used to understand the benefit of using learning contracts in doctoral dissertations. Data were gathered from students who participated in the Ombuds Pathway to Completion. The research variables used in the study were milestone completion, degree completion, and factors predicting student success with a learning contract.
KSU redefined the MOOC value proposition through collaboration of university leadership and faculty. The new proposition shifts measures of success beyond just course completion to include measures that benefit students, faculty, and the institution. Students benefitted through access to open educational resources, the acquisition of professional learning units at no cost, and the potential of college credit at a greatly reduced cost. Academic units benefited through a mechanism to attract students and future revenue while the university benefited through digital impressions, branding, institutionally leveraged scalable learning environments, streamlined credit evaluation processes and expanded digital education.
The rise of online and hybrid courses at the higher education level increases the need for distance learning infrastructures to nourish online faculty preparedness and student online learning success. One part of the distance learning infrastructure is incorporating the use of educated and trained instructional designers to assist faculty in developing robust and quality online courses. Developing online courses with an instructional designer is a very laborious process, but the results can outweigh the struggles that faculty encounter when doing it on their own. The authors explain what is involved in an established sixstep
course development model for developing, reviewing, and delivering a quality online course.
n this two-part consideration of the future of online learning, we look at the patterns and trends which will shape online learning in the future and how the various components of the post-secondary education system, such as student population, course design and delivery, assessment, resource bases, teaching and learning models, and partnerships will be different from what we have now.
The first part, A 2016 Look at the Future of Online Learning: Advancing Technology and Online Learning – An Ideal Match for the Future, looks at developments in technology and what potential they offer for better learning, teaching, collaboration, mobility and other key aspects of online learning.
The second part, A 2016 Look at the Future of Online Learning: Transformations in Learners, Programs, Teaching and Learning, and Policy and Government, is a more in-depth consideration of the inter-related changes we see taking place across online learning and the implications of this for post-secondary education.
In the mid-1980s as a further education lecturer I was mocked by some more traditional colleagues for using “lantern slides”, their term for the then newfangled technology of the overhead projector, or OHP. These Luddites strutted the corridors with coffee-tinted sheaves of notes stuffed untidily under their arms. They would sweep into the classroom, fling their pencil-written papyri on the lectern and, without so much as a glance at their students, commence reading out loud.
We have heard a lot of talk about MOOCs, or massive online open courses, over the last couple of years. On the plus side, MOOCs often draw enormous enrollments and are easy to sign up for and use; all you need, it seems, is an Internet connection and an interest to learn.
On the down side, they have significant attrition rates – about 90 percent of those enrolled never complete a course – and, according to their most alarmist critics, these courses may even threaten the jobs of college professors nationwide.
Each year, many of us make New Year’s resolutions and try and keep them. Others, usually newspapers and media outlets, speculate on the key things to watch out for during the coming year. Rather than resolutions or predictions, we list ten developments we wish for online learning in 2016.
We hope these come true, but it will take clear resolution, firm commitment and lots of hard work by all to make them happen. This is why we refer to this as a “wish list”.
Not from the realm of pure speculation, all items in our list are developments from current practices in technology, learning, and public policy.
Assessment is a very complex topic. As this essay articulates, it is meant to monitor or to measure what students have learnt. For validity and reliability, and to minimise subjectivity, standardised tests are often adopted and marks are awarded, followed by a process in which test scores are converted into grades. The grades are then recognised as measures of students’ learning attainment. But what assessment actually means is seldom articulated. Is it a measure of the body of knowledge that a student has acquired, or is it also a measure of other attributes?
The Council of Europe (since the mid-1960s), the European Commission (since the late 1980s) and many European states and civil society organisations (in the aftermath of the Second World War) have long fostered programmes and strategies to enhance the mobility of young people.
The prevailing notion of such programmes is that the process of economic and political integration in Europe will indeed remain fragmentary and unstable without accompanying social and educational measures. Instead of a Europe with non-transparent
bureaucratic institutions, a “Europe of Citizens” was meant to develop wherein people would get to know each other,
appreciate their mutual cultural differences and, at the same time, form a European identity by saying “yes” to core European values. As such, mobility is considered important for the personal development of young people, contributing as it does to their employability and thus their social inclusion.
Faculty at colleges and universities across Ontario today are busy. They spend their days juggling lectures, student and faculty meetings,grading, and research in an attempt to provide students with the most broad and up-to-date education possible while at the same time furthering the research in their chosen field.
Will it always be this way?
What will a professor at a college or university be doing in 2020 and how might we understand the changed nature of their work as an opportunity?
Major Trends Impacting Open & Distance Learning
When one does trend analyses on Open & Distance Learning over a
period of time, three key factors emerge:
1. Firstly, there are as many trends as there are practitioners. The art of strategic foresight is to identify trends which are not temporary, which are not just local, and which will have sustaining impact. I have identified seven.
2. Second, that many of the trends will have limited, or no bearing on your specific educational context in the short term, but may have longer term impacts, both on the competitive educational environment in which we now all function and, hence, on
institutions.
The next new development is the dawning of the post-LMS era where both open and closed learning components and experiences will be crafted into courses to meet current and emergent student, teacher and learning needs.
The wide variety of "web 2.0" services, and especially those focused on disciplinary topics, will continue to expand. These will include open resources, web and networking sites, commercial products and institutional resources. It won't make sense for an institution to try to contain all these resources and networking opportunities within their own walled garden. Opening will allow
both students and teachers the opportunity, and the challenge, of developing their net presence and literacies.
New analysis offers more evidence against the reliability of student evaluations of teaching, at least for
their use in personnel decisions.
Study finds gender of instructors influences evaluations they receive, even if they have fooled students (in an online course) about whether they are men or women.
Handheld devices are widely applied to support open and distributed learning, where students are diverse. On the other hand, customization and personalization can be applied to accommodate students’ diversities. However, paucity of research compares the effects of customization and personalization in the context of handheld devices. To this end, a customized digital learning system (CDLS) and personalized digital learning system (PDLS) were implemented with the handheld devices and they tailored to the needs of different cognitive style groups. Furthermore, we conducted two empirical studies to examine the effects of cognitive styles on the use of the CDLS and PDLS. More specifically, Study 1 identified the preferences of each cognitive style group while Study 2 investigated how students with different cognitive styles react to the CDLS and the PDLS. The results from these two studies showed that student with the CDLS and those with the PDLS obtained similar task scores and post-test scores, regardless of their cognitive styles. However, cognitive styles affected the efficiency of completing tasks and perceptions for customization and personalization.
Keywords: customization, personalization, handheld devices, cognitive styles
On the one hand, a growing amount of research discusses support for improving online collaborative learning quality, and many indicators are focused to assess its success. On the other hand, thinkLets for designing reputable and valuable collaborative processes have been developed for more than ten years. However, few studies try to apply thinkLets to online collaborative learning. This paper introduces thinkLets to online collaborative learning and experimentally tests its ffectiveness with participants' responses on their satisfaction. Yield Shift Theory (YST), a causal theory explaining inner satisfaction, is adopted. In the experiment, 113 students from Universities in Beijing, China are chosen as a sample. They were divided into two groups, collaborating online in a simulated class. Then, YST in student groups under online collaborative learning is validated, a comparison study of online collaborative learning with and without thinkLets is implemented, and the satisfaction response of participants are analyzed. As a result of this comparison, YST is proved applicable in this context, and satisfaction is higher in
online collaborative learning with thinkLets.