The important questions that I believe we should be asking at this point are: What education-specific research will be beneficial to the field? What do we need to know? And how should we go about investigating what we need to know about? Systematic empirical research can (a) generate a deeper understanding of this phenomenon, (b) provide evidence to support or refute the claims surrounding MOOCs, and (c) help universities and MOOC providers enhance course offerings.
"[a list] — arranged in alphabetical order — includes 80 online resources that you can use to learn how to build or participate in a collaborative educational effort that focuses on publication and development of those materials. Although some choices focus solely on publication, development, or tools used to accomplish either effort, some provide multifaceted venues that offer communities in which to collaborate on one or all of these efforts. Collaborators can include institutions, colleges or universities, educators, students, or the general public"
Fifty-eight faculty members have called for Harvard University to create a new faculty committee to consider ethical issues related to edX, the entity created by the university and the Massachusetts Institute of Technology to provide massive open online courses.
Overnight, MOOCs -- with free tuition for all, attracting unprecedented enrollments reaching into the hundreds of thousands, and the involvement of world-class faculty -- have captured the imagination of the press, public and even legislators looking for ways to expand the availability of higher education at minimal cost.
But thus far little attention has been paid to the quality of MOOCs. Quality in online learning can be defined in many ways: quality of content, quality of design, quality of instructional delivery, and, ultimately, quality of outcomes. On the face of it, the organizing principles of MOOCs are at odds with widely observed best practices in online education, including those advocated by my organization, the Quality Matters Program. Many of the first MOOCs are providing quality of content, but are far behind the curve in providing quality of design, accountable instructional delivery, or sufficient resources to help the vast majority of students achieve a course’s intended learning outcomes.
Each time a teacher or a learner interacts with an Open Educational Resource (OER), these interactions produce data. This "interaction data" includes "artifact data" routinely captured during any online interaction by Web server logs (e.g., users' browsers, users' IP addresses) and "social data" created during Web 2.0-style interactions with resources (e.g., tags, comments, ratings, favorites). Interaction data can serve a number of purposes in a period of increased interest worldwide in OERs quality and uptake. First, interaction data is a valuable source of analytics about OERs and typical audience profiles. Second, combined with metadata, interaction data can enhance searching, ranking, and recommendations of learning resources. However, obtaining this data is not always easy since OERs, in particular, are generally dispersed among different systems where the interactions between resources and their users take place. This paper describes approaches to unlocking, collecting and aggregating this interaction data.
The resulting publication, The Future of Creative Commons (2.7 MB PDF), lays out priorities for each area in which we work. These overall priorities are already guiding staff in how they use their time and set targets for each program area. They also give us a good base to measure how well we are doing.
As a companion piece, we offer this annual report, Dispatches from the Commons. In it, we call out some of the big accomplishments of the past year and highlight organizations and people who are doing powerful and innovative things with our licenses.
Seminar presentation delivered to Vancouver Island University's Online Learning and Teaching Diploma - OLTD 505: OERs, Online, via Blackboard Collaborate.
Overview discussing open educational resources (OERs) and massive open online courses (MOOCs) as they relate to the future. Issues considered include varieties of openness, licensing and combining resources, access, the nature of definitions, types of MOOCs, change and the future.
Georgia Tech will work with AT&T and Udacity, the 15-month-old Silicon Valley-based company, to offer a new online master’s degree in computer science to students across the world at a sixth of the price of its current degree. The deal, announced Tuesday, is portrayed as a revolutionary attempt by a respected university, an education technology startup and a major corporate employer to drive down costs and expand higher education capacity.
Fascinating graphic,a sit shows that nearly 42% of the target audience for MOOCs are not the developed world. It also raises an interesting question. Who is it for?’ are four words that tease out a MOOC strategy or lack of strategy. For most it is a marketing exercise in terms of the brand, a way of reducing internal costs on high volume courses, a way of recruiting potential students (directly or through their parents). Yet others see it as a way of flushing out funding from Alumni or presenting an ‘accessible’ face to Government. For MOOCs, several target audiences have emerged:1. Internal students on course – cost savings on volume courses2. Internal students not on course – expanding student experience 3. Potential students national –major source of income4. Potential students international – major source of income5. Potential students High school – reputation and preparation 6. Parents – significant in student choice7. Alumni – potential income and influencers 8. Lifelong learners – late and lifelong adult learners9. Professionals – related to professions and work10. Government – part of access strategy
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