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Distributed Thought-Leadership And Passive Learning in Online Education

Distributed Thought-Leadership And Passive Learning in Online Education. Jim Waters, Cabrini College Susan Gasson, the iSchool at Drexel. Online Learning – yeah !. Any time, anywhere learning – unbound from time and space Facilitates long-distance cooperation/collaboration

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Distributed Thought-Leadership And Passive Learning in Online Education

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  1. Distributed Thought-Leadership And Passive Learning in Online Education Jim Waters, Cabrini College Susan Gasson, the iSchool at Drexel

  2. Online Learning – yeah ! • Any time, anywhere learning – unbound from time and space • Facilitates long-distance cooperation/collaboration • Asynchronous model supports greater reflection • Co-construction of knowledge through scaffolded discourse • But… • Physical separation can lead to a lack of sense of belonging • Physical separation breeds lurking • Learners will adopt particular roles • Some frankly, are more valuable than others • Less of a Dewianparticipatory democracy but hopefully a benign oligarchy

  3. Engagement What does it mean to engage with online learning? • Impossible without sense of belonging to community • Presence is insufficient to engender deep participation • Online students need to “own” their own learning • Drivers to participate battle the forces of inertia (Lurking) • Lack of confidence to post (Mason 1999) • Uncomfortable in Public • Fear of persistence • No need to post • Don’t want to get drawn into sparring (Katz 1998) • Flaming

  4. Vapor Trails? An ethnography, joining the dots between visible and invisible behaviors: • Observable posting behavior on discussion board • Depth & participation in threads of interactive debate • Re-use of ideas in other posts • Read statistics for individual posts • Visit statistics of posters vs. lurkers • Social network analysis of interactions • Student demographics (class introduction posts) • Student feedback on discussions (post hoc survey)

  5. Analyzing student strategies • Observed student-student interactions online • Ten (wholly online) 10-week graduate IS courses • Range of technical and management topics • Quantitative and Qualitative analyses • Activity tended to show a brontosaurus-shaped curve

  6. Fluid, Observed Role-Behaviors

  7. Facilitator • Good point. I tried to say something similar in a previous response. Some companies such as SAP, PeopleSoft, etc.. seem to be creating IS applications that could become commodities because many companies do the same type of general operations, BUT you made my point in that there is a large amount of customization of these applications to a specific companies processes Complicator • I'd like to rephrase this question slightly. "How important are the correct information systems to organizational success?" IS must be properly aligned with the business objectives in order to provide any real value

  8. Interactions that work • Adoption of dynamic behaviors leads to multi-threaded debates where students reference the ideas of others frequently and challenge the current topic or problem-frame because of these influences. • Leads to shared construction of knowledge and thus collaborative learning • Facilitated by learners we refer to as peer “thought-leaders” -- Students who routinely mobilize, critique, refine, and reframe the debate for others.

  9. Thought-leaders • Generated longer, deeper threads • Consistently adopted Facilitator, and Complicator role-behaviors • Posted the most frequently read posts both by other active participants and by “lurkers” • Were more “engaged” in discussions (iterative) • Frequently used personal stories to engage students and strengthen arguments • Stories included examples where real-world experience contradicted accepted wisdom • Use of stories consistently cited by peers as reason for respect for thought-leaders

  10. The power of stories…. well duh ! The decision to say "OK, that's enough testing, let's do this," is not always done by the person who should be controlling the project…I was working in the news department of a TV station that was one of a group of nine stations. Management imposed a new computer system on four stations, including mine. Three stations accepted it and had nightmare after nightmare. The systems managers didn't have the guts to say, "This system is awful. The vendor needs to debug it." In my situation, the local management listened to my explanations that, until the new system underwent huge debugging, our old system was better. My managers agreed, and I spent six full months with the programmers until they got it right. I bet your supervisors were glad they listened to you and that you were able to get the bugs worked out with the programmers before putting it into operation. But six months - wow …what a headache the other three stations had, I bet they wished they had someone like you who had spoken up for them before implementation. As S14 pointed out, sometimes the upper management makes a decision to make a change, but they're not the end users involved with the system to understand potential problems. • Powerful in helping learners co-construct knowledge

  11. “Levels” of Engagement

  12. Dynamic interactions or not? Participation – Contractual obligation Involvement – Commitment of a sort Social Engagement – Committed, socially-focused iterative knowledge building

  13. Impact of levels of engagement on discussion quality • Socially engaged students are most objectively influential – they inspire more responses • Students who iteratively engage the most start the best threads (messages, depth, participants) inspire more deepening discussion (branches) and inspire longer responses. • Socially engaged students are also highest on measures of facilitation and reframing behaviors

  14. So What? • Socially engaged students prolong deep discussion by complicating and facilitating behaviors • Socially engaged students inspire more activity • Thought-leaders draw others into discussion by using relevant war stories • Observing these dialogues allow others to benefit indirectly • Invisible activity can be brought to light • “Passively” constructed knowledge bubbles through to artifacts • Effort expended attempting to get everyone onboard might be usefully diverted to ensuring good threads continue

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