Because the subjects were thinking about what they got wrong, they learned how to get it right.
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The Death of the Traditional Web: Implications for Self-Directed Learning | Social Lear... - 1 views
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social learning hive learning elearning Education 2.0 connectivism social networking PLN
shared by Keith Hamon on 17 Feb 12
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Traditional use of the Web (i.e. non-mobile and non-video usage) is shrinking. Per-person consumption of traditional Web content fell by 3 percent between March 2010 and March 2011 in terms of minutes. Within that shrinking slice of online time, Facebook is increasingly the portal for everything. While the "document Web" (as author Ben Elowitz terms the old-style Web) shrank by 9 percent overall, Facebook consumption increased by 69 percent, essentially stealing time from everything else. It now accounts for 1 out of every 8 minutes of online time, as opposed to 1 out of 13 at the beginning of the year. Search engines, once the gatekeepers to the Web, are giving way to Facebook. Google and everything it represents is facing the first stages of irrelevancy.
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Alternative approaches to assessing student engagement rates. Chapman, Elaine - 0 views
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Frontal Cortex | Wired Science | Wired.com - 0 views
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Jonah Lehrer neuroscience critical thinking pedagogy Learning failure
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The problem with praising kids for their innate intelligence — the “smart” compliment — is that it misrepresents the psychological reality of education. It encourages kids to avoid the most useful kind of learning activities, which is when we learn from our mistakes. Because unless we experience the unpleasant symptoms of being wrong — that surge of Pe activity a few hundred milliseconds after the error, directing our attention to the very thing we’d like to ignore — the mind will never revise its models. We’ll keep on making the same mistakes, forsaking self-improvement for the sake of self-confidence. Samuel Beckett had the right attitude: “Ever tried. Ever failed. No matter. Try Again. Fail again. Fail better.”
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The physicist Niels Bohr once defined an expert as "a person who has made all the mistakes that can be made in a very narrow field." Bohr's quip summarizes one of the essential lessons of learning, which is that people learn how to get it right by getting it wrong again and again. Education isn't magic. Education is the wisdom wrung from failure.
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Learning or Management Systems? « Connectivism - 1 views
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Two broad approaches exist for learning technology implementation: The adoption of a centralized learning management approach. This may include development of a central learning support lab where new courses are developed in a team-based approach—consisting of subject matter expert, graphic designers, instructional designer, and programmers. This model can be effective for creation of new courses and programs receiving large sources of funding. Most likely, however, enterprise-wide adoption (standardizing on a single LMS) requires individual departments and faculty members to move courses online by themselves. Support may be provided for learning how to use the LMS, but moving content online is largely the responsibility of faculty. This model works well for environments where faculty have a high degree of autonomy, though it does cause varying levels of quality in online courses. Personal learning environments (PLEs) are a recent trend addressing the limitations of an LMS. Instead of a centralized model of design and deployment, individual departments select from a collage of tools—each intending to serve a particular function in the learning process. Instead of limited functionality, with highly centralized control and sequential delivery of learning, a PLE provides a more contextually appropriate toolset. The greater adaptability to differing learning approaches and environments afforded by PLEs is offset by the challenge of reduced structure in management and implementation of learning. This can present a significant challenge when organizations value traditional lecture learning models.
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Self-organised learning networks provide a base for the establishment of a form of education that goes beyond course and curriculum centric models, and envisions a learner-centred and learner controlled model of lifelong learning. In such learning contexts learners have the same possibilities to act that teachers and other staff members have in regular, less learner-centred educational approaches. In addition these networks are designed to operate without increasing the workload for learners or staff members.
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Instead of learning housed in content management systems, learning is embedded in rich networks and conversational spaces. The onus, again, falls on the university to define its views of learning.
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Two key areas are gaining substantial attention: (a) social software, and (b) personal learning environments (PLEs). Social software and PLEs have recently gained attention as alternatives to the structured model of an LMS. PLEs are defined as: “systems that help learners take control of and manage their own learning” (van Harmelen, 2006, ¶ 1). PLEs “are about articulating a conceptual shift that acknowledges the reality of distributed learning practices and the range of learner preference” (Fraser, 2006, ¶ 9). A variety of informal, socially-based tools comprise this space: (a) blogs, (b) wikis, (c) social bookmarking sites, (d) social networking sites (may be pure networking, or directed around an activity, 43 Things or flickr are examples), (e) content aggregation through RSS or Atom, (f) integrated tools, like elgg.net, (g) podcast and video cast tools, (h) search engines, (i) email, and (j) Voice over IP.
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For an individual used to Skyping, blogging, tagging, creating podcasts, or collaboratively writing an online document, the transition to a learning management system is a step back in time (by several years).
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LMS may well continue to play an important role in education—but not as a critical centre. Diverse tools, serving different functionality, adhering to open guidelines, inline with tools learners currently use, may be the best option forward.
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As these learners enter higher education, they may not be content to sit and click through a series of online content pages with periodic contributions to a discussion forum.
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Involve all stakeholders (beyond simple surveys). Define the university’s view of learning. Critically evaluate the role of an LMS in relation to university views of learning and needs of all stakeholders. Promote an understanding that different learning needs and context require different approaches. Perform small-scale research projects utilizing alternative methods of learning. Foster communities where faculty can dialogue about personal experiences teaching with technology. Actively promote different learning technologies to faculty, so their unique needs—not technology—drives tools selected.
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The initial intent of an LMS was to enable administrators and educators to manage the learning process. This mindset is reflected in the features typically promoted by vendors: ability to track student progress, manage content, roster students, and such. The learning experience takes a back seat to the management functions.
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The initial intent of an LMS was to enable administrators and educators to manage the learning process. This mindset is reflected in the features typically promoted by vendors: ability to track student progress, manage content, roster students, and such. The learning experience takes a back seat to the management functions.