Group items tagged

Employed adults tend to complete eLearning in their personal time due to workload pressures in the workplace and/or Internet access issues at work

Cognitive Load Theory

states that learning is initially processed in working memory

Learning complex or technically demanding material requires building mental models or cognitive schemas about the subject being studied or the skill being developed over time

Learning new material or a skill, for which a schema in long term memory is undeveloped or non-existent, can cause working memory to quickly overload its limited capacity. This overloading can result in a learner becoming highly anxious and losing confidence, which in turn can lead to the learning process, in effect, freezing and the learner being unable to continue.  

 “Digital literacy involves more than the ability to use software or operate a digital device; it includes a large variety of complex cognitive, motor, sociological and emotional skills, which users need in order to function effectively in digital environments.”

It is this author’s experience in designing, developing and delivering several eLearning programmes to public sector employees in New Zealand, that a face to face workshop prior the start of the online distance course can make a significant difference to a first time eLearner’s perception and experience of eLearning. 

This type of pre-course face-to-face induction workshop can also be used to foster the group’s sense of itself, and to identify the individual participants and their backgrounds, along with their expectations and concerns. It is also helpful to have the course design, structure and philosophy explained and to discuss anxieties associated with beginning an online course.

Summary and Conclusions This study reports three principle findings.  First, from a survey of student opinion it is reported that 59% believe that the frequency of cheating is the same in both the online and the f2f instructional format. The proportion is significantly greater than 50% at the .05 level. It is also reported that the responses to the question of cheating and instructional format are significantly different depending on whether the student came from an online class or a f2f class, but only at a p-value of .1060.  Recalling the literature review in Table 1, which reported mixed findings by previous empirical studies, an interesting implication for future research is whether student experience with each instructional format influences student perceptions of differences in the frequency of cheating. Second, on proctoring and the frequency of cheating on essay exams and multiple choice exams, it is reported that roughly half of the respondents perceive unproctored assessments as having greater cheating risk than the same assessment in a proctored format, and half think they have equal cheating risk. These findings are consistent with the conventional perception that in a side by side comparison of two courses with comparable content and predominately multiple choice exam assessments, the course with unproctored exams is viewed as having greater cheating risk. Third, in our analysis of assessment design in 20 online courses it is reported that 70% base roughly half the course grade on unproctored multiple choice exams.     These findings imply that online courses, which have unproctored multiple choice exams, can reduce perceived cheating risk by proctoring some of their multiple choice exams without significantly altering the original mix of assessment types. Gresham’s Law suggests that online courses debased by assessment designs with high cheating risk will displace courses with relatively lower cheating risk. Institutions of higher education tone deaf to the issue of proctoring online multiple choice assessments may understandably find other institutions reluctant to accept these courses for transfer credit.  The benefit of proctoring is not without cost.  A proctored exam limits the spatial and the asynchronous dimensions of online instruction, which may have been the core reason the student enrolled in the online. These costs can be mitigated to some extent by early announcement of the time and date of the exam, by allowing for some flexibility of time of exam, and by permitting use of alternate certified proctoring centers. The costs to individual instructors are formidable but there are potentially significant economies of scale to be realized by integration of online courses with an existing system that administers proctoring of exams for f2f classes.  Proctoring of some multiple choice exam assessments will reduce cheating risk. The elephant in the room, however, is the cheating risk on non-exam unproctored assessments (for example term papers, essays, discussion, and group projects). These are widely used in f2f instruction and, as online instruction evolves, will likely become equally widely used in online courses. These assessments are valuable because they encourage learning by student-to-student and student-to-faculty interactions, and because they measure Bloom’s higher levels of learning. These assessments have higher cheating risk than proctored multiple choice exams. These assessments, more so than multiple choice exams, challenge the ability of faculty and administration to inspire students to behave ethically and to refrain from academic misconduct.

Discussion Forum Exploring the ethical world Ask it like Socrates Website critique Case study Peer review M1 V V M2 V V M3 V V V M4 V V V V M5 V V V M6 V V V V M7 V V V

the academically decentralized/administratively centralized model

Changes in the institutional landscape may magnify competition among educational providers and allow new models and leaders to emerge.

Knowledge proliferation may increase content-breadth demands on higher education, spreading distance education resources ever thinner and complicating development decisions.

An NEA survey reported that faculty members’ top concern about distance education was that they will do more work for the same amount of pay, apparently a merited concern.

As long as distance education contributions are not considered in tenure and promotion decisions, and as long as professors have their own, traditional ways of delivering their courses, many faculty members will be reluctant to participate in online courses (Oravec, 2003). Concerning this reluctance, Dunn has predicted that many faculty members will revolt against technological course delivery and the emerging expectations their institutions will have of faculty members. Dunn forecast that some of the resistance will even be manifest through unionization and strikes (Dunn, 2000). Some have suggested the labor-intensive and time-consuming demands required to develop online modules as reasons for faculty resistance (Brogden, 2002).

The results of de Alva’s 2000 survey support this trend: governors rated “maintaining traditional faculty roles and tenure” as the least desirable characteristic of a twenty-first century university (p. 34).

Faculty members tend initially to try to use their conventional classroom methods to teach at a distance and then become frustrated when attempts are unsuccessful (Dasher-Alston & Patton, p. 14). In Green’s (2002) survey of the role

Distance education teams include administrators, instructional designers, technologists, and instructors/facilitators (Miller, 2001; Williams, 2003). The functions of instructors and facilitators then include being a “facilitator, teacher, organizer, grader, mentor, role model, counselor, coach, supervisor, problem solver, and liaison” (Riffee, 2003, p. 1; see also Roberson, 2002; Scagnoli, 2001). The role of faculty members in distance education requires “some specialized skills and strategies. Distance education instructors must plan ahead, be highly organized, and communicate with learners in new ways. They need to be accessible to students [and] work in teams when appropriate” (PSU, 1998, p. 4). Distance faculty members must be experts in maintaining communication, because there is increased demand for student interaction in distance learning (NEA, 2000). Finally, they may have to assume more administrative responsibilities than is true in a residential model (PSU, 1998).

“Rather than incorporating the responsibility for all technology- and competency-based functions into a single concept of ‘faculty member,’ universities are disaggregating faculty instructional activities and [assigning] them to distinct professionals” (Paulson, 2002, p. 124). Doing this involves a “deliberate division of labor among the faculty, creating new kinds of instructional staff, or deploying nontenure-track instructional staff (such as adjunct faculty, graduate teaching assistants, or undergraduate assistants) in new ways” (Paulson, 2002, p. 126

Online students are becoming an entirely new subpopulation of higher-education learners. They are “generally older, have completed more college credit hours and more degree programs, and have a higher all-college GPA than their traditional counterparts” (Diaz, 2002, pp. 1-2). For example, Diaz has noted that online students received twice as many A’s as traditional students and half as many D’s and F’s.

One result of the highly competitive e-learning market will be institutions that specialize in meeting particular niches in the market (Gallagher, 2003). Morrison and Barone (2003, p. 4) observed, “We can see the beginnings of the trend toward the unbundling of courses, credits, services, and fee structures.” Dunn foresaw a similar trend, predicting that “courseware producers will sell courses and award credits directly to the end user and thus, through intermediation, bypass the institutional middleman” (Dunn, 2000, p. 37). The transition may also blur the distinction between two- and four-year colleges and universities (Carr, 1999). In this context of greater “portability,” more educational “brokers” (e.g., Western Governor’s University, Excelsior College, Charter Oak State College, etc.) will exist (Pond, 2003). Further, as de Alva has asserted, “Institutional success for any higher education enterprise will depend more on successful marketing, solid quality-assurance and control systems, and effective use of the new media than on production and communication of knowledge” (de Alva, 2000, p. 40).

I love to think that the process of re-conceptualizing a curse to go online can change the way teachers teach this way, and as I learned too, this change is not only for online classes, in face to face too, because it opens their minds, it makes them think and evaluate their old classes, their old evaluations, and most teachers change the way they teach face to face too, because they realize that traditional teaching doesn’t work face to face either. And they don’t change because they have to change, they have an excuse for changing, so online teaching is a catalyst for transforming teachers.

I like the idea of having a community blog

I needed a Blog

I am fully committed to the idea of self-discovery and peer-teaching within my online course, but I also feel that I have a lot to add and I can’t keep all of this information to myself