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NG, Chingwa Daniel

Social Media and Presence Effect on Corporate Blended E-Learning with Strong Knowledge Retention. NG, Chingwa Daniel. Chairperson, C-PISA MSc KM Student, HK Polytechnic University. Remote Presentation (30 mins ) 19 July 2011 @ 11:30am-12pm.

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NG, Chingwa Daniel

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  1. Social Media and Presence Effect on Corporate Blended E-Learning with Strong Knowledge Retention NG, Chingwa Daniel Chairperson, C-PISA MSc KM Student, HK Polytechnic University Remote Presentation (30 mins) 19 July 2011 @ 11:30am-12pm

  2. CPD, or CPE in other disciplines, could cover updated on regulations in individual countries such that members can access online to update for each jurisdiction

  3. High Power Distance Low Power Distance The cases in South Africa and Sudan are contrasted to separate out the balance of influence in individualism and collectiveness. Interestingly, distance education, says through E-learning, is receiving high reception in those population favouring individualism. On the contrary, the adoption of conventional classroom and blended learning flourish in those collectivistic regions. There are no significant difference across curricula in science, arts and engineering.

  4. An emphasis is on the social and shared culture of learning, such as the metaphor of the watering hole which emphasizing collegial exchange between all participants, along all manner of knowledge areas. Taking a genuine standpoint, learning at a distance actually gives a lax environment to all learners such that there are high chance to slip many pre-configured pedagogical deadlines in the course of assessments. The concept of psychological contract on learning could provoke a momentous drive in learners at the beginning of any distance learning, but the sustainability of this learning contract can be fading substantially before reaching half of the distance learning course. One key development constraint is the integration of e-learning content production with users, i.e. learner, in mind. In a recent Europe conference on artificial intelligence [8], the application of probabilistic ontology adopted in earlier stage of semantic web onto recognition of user fuzziness in learning expectation E-learning is considered as a reflection of pure learning management system in form of either a HTML browser

  5. Artificial Intelligence engine on E-learning, with a virtual Blended environment

  6. IBM experience in E-learning • Asynchronous WIN • Face to Face can clarify any matter • Artificial Intelligence Agent to semantically communicate asynchronous learners, and centralized Learning Management System and/or Lecturer • Genetic Algorithm can be used to handle the evolutionary learner requirement • Neural Network Analysis can be employed to identify dropouts, or potential pedagogical problem

  7. Reference : AHT Group

  8. END

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