Toward Knowledge Technology Synchronicity Framework for Asynchronous Environment

Toward Knowledge Technology Synchronicity Framework for Asynchronous Environment

Simon Cleveland (City University of Seattle, Seattle, United States) and Gregory Block (Brandeis University, Waltham, United States)
Copyright: © 2017 |Pages: 11
DOI: 10.4018/IJKSR.2017100102
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Abstract

While distance learning education continues to grow, online instructors face certain asynchronous uncertainties when it comes to knowledge exchange with students. To counteract such uncertainties and minimize teaching deficiencies expected to occur in asynchronous learning environments, this study examines a set of knowledge building blocks that play a role in the online knowledge exchange process. Knowledge technology synchronicity framework for asynchronous environment is proposed that integrates knowledge seeking behavior, knowledge properties, knowledge domains, knowledge types, knowledge tools, and technology synchronicity. A real-life case is provided to integrate the framework in practice.
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Virtual Knowledge Exchange

In this study, the authors define asynchronous learning as the process of acquiring and converting knowledge within an online environment that is independent of space and time. The process, which was made possible by advancements in the technology for computer-mediated communication (CMC), has revolutionized the education industry. It has bridged the interaction between students and educators through virtual classrooms hosted within online learning systems (OLS).

The modern virtual classroom is a space where students interact with one another and with the instructor through forums, simulations, and collaborative assignments. Such interaction has been found effective in increasing the motivation to learn, mastery of course material, and greater quality of educational experience (Hiltz and Wellman, 1997). The interaction between instructor and students consists of complex processes that involve the seeking, acquisition, conversion, and integration of knowledge between parties. In the following section, we examine specific behaviors, knowledge properties, knowledge domains, and knowledge tools that will be used to formulate the proposed framework.

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