In their initial study, authors Boston, Ice, and Gibson (2011) explored the relationship between student demographics and interactions, and retention at a large online university. Participants in the preliminary study(n = 20,569) included degree-seeking undergraduate students who completed at least one course at the American Public University System (APUS) in 2007. Two notable findings from the study were (1) the importance of transfer credit, and (2) the consistency of activity in predicting continued enrollment.Interestingly, the latter finding was confirmed upon the analysis of longitudinal data from the current study.Further related to the latter finding-yet unexpected, was the existence of new literature that, although subtle,affirms the importance for online institutions to conduct ongoing research on these topics. Readers of the current study are encouraged to refer to the preliminary study toward a comprehensive understanding of these nuances. Though informative, the researchers wished to validate the original study findings through longitudinal evaluation of retention.
The instructional delivery mode in distance education has been transitioning from the context of a physical classroom environment to a virtual learning environment or maintaining a hybrid of the two. However, most distance education programs in dual mode institutions are situated in traditional face-to-face instructional settings. Distance education leaders, therefore, operate in a transition mode which requires some level of flexibility as they authorize and manage change and regularly upgrade their knowledge and skills base to adapt to the constantly changing environment. It is obvious that online distance learning is an evolving learning environment that requires leaders of traditional learning environment to acquire new skills and assume new roles. The requirements for distance education leadership and the dearth of research on how educational and leadership theories influence leaders of distance education programs calls for an examination of leadership theories. Examining various leadership theories provides a theoretical framework for current and prospective distance education leaders. This paper examines theories that can impact distance education leadership. These include transformational, situational, complexity, systems, and adoption and diffusion of innovation theories.
Interaction is a critical component of successful online learning and by extension an important component inoverall online program quality. The researcher studied the impact of course design on participation in an online university course. The participants were university students’ (n= 62, male= 33, female= 29). Their responses from online discussions were analyzed using repeated measures factorial ANOVA finding a statistically significant decrease in student participation in weeks when major assignments were due. The impact of assignments was similar for female and male participants. Measures of effect size indicated that course design accounted for more variation in online participation than gender. The key finding of the study was that course design can have a significant impact on level of participation and therefore student success in the online course. Ways to prevent or mitigate the impact of the reduction in student participation are presented.
Online education programs continue to rely on a significant contingent of adjunct faculty to meet the instructional needs of the students. Discourse relating to this situation primarily focuses on the extent to which adjuncts are able to ensure the rigor and quality of instruction as well as the ability of the organization to attract, retain, and support qualified professionals. In response, organizations have created very structured,standardized professional development opportunities, meticulous monitoring of adjunct activities and inflexible policies to guide interactions with learners. This one-size-fits-all strategy limits the organization’s ability to facilitate an adjunct-organizational relationship that supports the adjunct in ways that meet their individual needs. The purpose of this exploratory, quantitative questionnaire study was to examine the difference between the adjuncts’ primary rationale for teaching, and their self-identified professional category. In addition, the study sought to explore the difference between the adjunct’s primary professional needs and their self-identified professional category. The results of the study demonstrated that there was a significant difference between the self-identified professional employment groups in the areas of student focused instruction, personal needs, an interest in online pedagogy, career advancement, and flexible work schedule categories. There was not a significant difference in the self-identified professional employment groups and the category of skill development
This article presents the results of a national study of 39 higher education institutions that collected information about their practices for faculty development for online teaching and particularly the content and training activities used during 2011-2012. An instrument of 26 items was developed based on a review of literature on faculty development for online teaching and analyzed in Meyer (2014). The study found that 72%(n=29) organizations used learning style theory as a basis for their training activities, followed by 69% that used adult learning (Merriam, 2001) and self-directed learning (Knowles, 1975), 64% that used Kolb's (1984)experiential learning model, 59% that used Knowles' (1975) andragogy theories, and 54% that used various instructional design models. Models of good practice were strongly favored (79%) over research on online learning (31%) or theories of learning (23%) in faculty training. Pedagogies of online learning were most important to 92% of the respondents, while research about online learning was most important to only 23% of those who completed the survey. Differences based on Carnegie classification were also found.
I’d like to introduce you to Jennifer. Jennifer is 25 years old and is looking for a better job. She graduated from university in 2014 with a Bachelor’s degree in Psychology, spent a year overseas teaching English, and has been working at a coffee shop ever since.
Jennifer expected that the critical thinking skills she acquired in university, along with her work experience abroad, would help her land a ‘real job’, but so far, no luck.
Jennifer is not alone. According to Statistics Canada, the number of recent university graduates who are ‘underemployed’ is growing rapidly.
In 2011, 40% of women and 27% of men in the workforce, aged 25 to 34, had university degrees. This is up from 19% and 17% respectively ten years earlier. But, almost one fifth of these recent university graduates were overqualified for their jobs, and for Humanities Majors like Jennifer, the proportion goes up to about one third.
The need for online and blended programs within higher education continues to grow as the student population in the United States becomes increasingly non-traditional. As administrators strategically offer and expand online and blended programs, faculty recruitment and retention will be key. This case study highlights how a public comprehensive university utilized the results of a 2012 institutional study to design faculty development initiatives, an online course development process, and an online course review process to support faculty participation and retention in online and blended programs. Recommendations based on this case study include replicable strategies on how to increase faculty participation and retention in online and blended programs using collaboration, support, and ongoing assessment. This case study is a compendium to the 2012 Armstrong institutional study highlighted in the article "Factors Influencing Faculty Participation & Retention In Online &Blended Education."
The boundaries between vocational and academic post compulsory education have been blurred by students combining vocational and academic studies and by students transferring increasingly between the two types of education. Institutions are also blurring the boundaries between the sectors by increasingly offering programs from two and sometimes three sectors. In contrast, teachers seem more entrenched than ever in their own sector. This article reports a project on the preparation of Australian teachers of vocational education. It examines the prospect of integrating the preparation of teachers in post compulsory education to teach in schools, vocational education institutions and higher education institutions. It argues that greater differentiation between different types of vocational teachers and vocational teacher preparation can support the development of a continuum along which it would be possible to establish points of commonality with the preparation of school and higher education teachers.
Vocational education and training is changing rapidly, but there is no coherence to these changes or shared understandings about what VET should be like. The danger is that the current changes will lead to the development of a new tertiary education sector that includes the upper levels of VET, but leaves the remainder as a rump. VET needs its own review, similar to the 2008 Review of Australian Higher Education led by Denise Bradley. There needs to be a vision for VET and a shared public purpose and some explicit understanding about its relationship with schools and higher education.
Most organizations are awash in data – too much of it. And as many have learned, the ability to make effective, fact-based decisions is not dependent on the amount of data you have. Success is based on your ability to discover more meaningful and predictive insights from all the data you capture.
That’s where predictive analytics and data mining come into play. Data mining looks for hidden patterns in your data that can be used to predict future behavior. Businesses, scientists and governments have used this approach for years to transform data into proactive insights. The same approach applies to business issues across virtually any industry.
Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases.
Teacher has a great responsibility on determining the success of learning process of a language classroom as there are many elements that teachers need to take into account in establishing effective learning environment for their students whom may vary in terms of cultures, races, intellect, learning strategies and many more others. Hence, well thought leadins are indeed crucial to be applied in language classroom as it Arrendas (1998) has explained that leadin is a strategy that been used by teachers in the initial part of the lesson which aims at exposing the students to the content of the lesson as well as enabling the students to correlate the idea with their prior knowledge in order to create meaningful learning environment for the students. Prior to this matter, leadins is another important element in pedagogy that should not be taken lightly among the teachers and has to be explored deeper in order to be utilized effectively in their classrooms. As there is not much studies that are focused in this matter, it is hoped that it is the academic gap that the researchers hoped to fill in into the rapid development of academic field.
To make the comparison that one should never properly make, Higher Degree Research (HDR hereafter) supervision shares with parenting its status as that topic about which every person has an opinion. Watching other people supervise can be as exacerbating as observing a nonchalant parent whose child is throwing food in a café. When a postgraduate student takes directions that one could never possibly recommend, it is easy to imagine that better training was possible, that bad choices were made at crucial junctures, and that somewhere sits a parent reading the newspaper while the floor gets covered in spaghetti. The neglectful supervisor, like the neglectful parent, is easily viewed as a person of a certain type, such that quotidian discussions of supervision practices easily deteriorate into a moral commentary on personal virtues and vices. Although providing short-lived pious pleasures, the urge to judgment can be damaging to higher degree research cultures. Supervision practices need to be understood not as expressions of a moral disposition (friendly, mean, forgiving) or achievements of profound intelligence (the cult of the inept genius), but as institutionally responsive practices within a
broader tertiary system that remains unclear about what higher degree research should achieve, and apprehensive about what its graduates should aspire to afterwards.
So let’s start with the big picture. What is the purpose of schools in our society? Why do societies invest so many resources into educating their young? Yes, we teach so that students will learn, but to what end? What is the point? Of what benefit and to whom is a well-educated public? These kind questions have to do with the philosophy of education. (A philosophy is a set of principles based on one’s values and beliefs that are used to guide one's behavior.) These kinds of questions greatly affect how we educate students yet, they do not get asked nearly enough. Below is a list of possible reasons for educating young humans. You will most likely find that it is hard to select just one; instead, there seems to be a variety of reasons or purposes.
What are the most popular practices and tactics for electronic student recruitment at the undergraduate level? To find out, Noel-Levitz conducted a web-based poll in the spring of 2014 as part of the firm’s continuing series of benchmark polls for higher education. As a special bonus, a number of gaps between campus practices and prospective students’ expectations are identified based on a parallel study of college-bound high school students in spring 2014 (see information at bottom).
When and how are today’s prospective undergraduate students entering the recruitment funnel and moving through it? This report provides funnel conversion and yield rate benchmarks for particular student groups and particular entry points, such as in-state vs. out-of-state FTIC (first-time-in-college) students, campus visitors, transfer students, and other groups. By comparing these external benchmarks to their own internal benchmarks, campus enrollment teams can more accurately forecast the conversion and yield rates to expect at each stage of the college decision process.
What’s working in adult learner recruitment and marketing and which practices are most widely used? To find out, Ruffalo Noel Levitz conducted a 72-item, web-based poll in April 2015 as part of the firm’s continuing series of benchmark polls for higher education. Because undergraduate and graduate programs often employ similar practices to attract adult learners, this report combines its findings across undergraduate and graduate levels. For a profile of the poll respondents, please refer to the Appendix, page 41. Note that all respondents in this study had at least one adult-focused degree program.
Reading instruction has been reformed successfully in the primary grades, but with no consequent improvement in adolescent literacy. This commentary asks the question: What changes can the states and federal government make to education policy that will boost adolescent reading achievement?
Well-written course outcomes and lesson objectives are the critical foundation of a successful course. Course outcomes and lesson objectives are essential from a standards alignment standpoint, as well as for an overall quality measure of the course.
A learning outcome is a formal statement of what students are expected to learn. Learning outcome statements refer to specific knowledge, practical skills, areas of professional development, attitudes, higher-order thinking skills, etc. that faculty members expect students to develop, learn, or master during a course (Suskie, 2004). Learning outcomes are also often referred to as “expected learning outcomes”, “student learning outcomes”, or “learning outcome statements”.
In his 1984 book Experiential Learning, David Kolb describes the role of experience in learning.1 Kolb’s Learning Cycle is a conceptual model that frames learning as an active process engaged in by adults as they grasp and transform experience into learning and development through action and reflection.2 According to the model, learners’ understandings deepen and broaden through an iterative process, supported by teaching actions and assessment processes.