Joshi Ankur, Singh Satendra, Jaswal Shivani, Badyal Dinesh Kumar, Singh Tejinder
Department of Community Medicine, Gandhi Medical College, Bhopal, Madhya Pradesh, India.
Department of Physiology, University College of Medical Sciences, New Delhi, India.
Int J Appl Basic Med Res. 2016 Jul-Sep;6(3):151-6. doi: 10.4103/2229-516X.186957.
Web-based conversational learning provides an opportunity for shared knowledge base creation through collaboration and collective wisdom extraction. Usually, the amount of generated information in such forums is very huge, multidimensional (in alignment with the desirable preconditions for constructivist knowledge creation), and sometimes, the nature of expected new information may not be anticipated in advance. Thus, concept maps (crafted from constructed data) as "process summary" tools may be a solution to improve critical thinking and learning by making connections between the facts or knowledge shared by the participants during online discussion This exploratory paper begins with the description of this innovation tried on a web-based interacting platform (email list management software), FAIMER-Listserv, and generated qualitative evidence through peer-feedback. This process description is further supported by a theoretical construct which shows how social constructivism (inclusive of autonomy and complexity) affects the conversational learning. The paper rationalizes the use of concept map as mid-summary tool for extracting information and further sense making out of this apparent intricacy.
基于网络的对话式学习为通过协作和集体智慧提取来创建共享知识库提供了机会。通常，此类论坛中生成的信息量非常巨大，具有多维度性（符合建构主义知识创造的理想前提条件），而且有时预期新信息的性质可能无法提前预料。因此，作为“过程总结”工具的概念图（根据构建的数据精心制作）可能是一种解决方案，通过在在线讨论期间参与者共享的事实或知识之间建立联系来提高批判性思维和学习。这篇探索性论文首先描述了在基于网络的交互平台（电子邮件列表管理软件）FAIMER-Listserv上尝试的这项创新，并通过同行反馈生成了定性证据。这一过程描述得到了一个理论架构的进一步支持，该架构展示了社会建构主义（包括自主性和复杂性）如何影响对话式学习。本文论证了将概念图用作中期总结工具以提取信息并从这种明显的复杂性中进一步理解意义的合理性。
