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Constructing a Systematic Classification of Knowledge Derived from an Internet-Based Educational Platform for a University
Author(s): Ram Gopal YadavAbstract
The rapid expansion of internet-based educational platforms has transformed how knowledge is produced consumed and organised within contemporary universities. These platforms—ranging from learning management systems to massive open online course (MOOC) portals and university-administered digital ecosystems—generate vast amounts of content interactions assessments behavioural data and learning artefacts. As institutions increasingly depend on digital systems for instruction assessment student engagement and academic administration a structured approach for classifying knowledge derived from these platforms becomes essential for ensuring meaningful utilisation policy development and long-term institutional learning. This research paper examines how a systematic classification of knowledge emerging from internet-based educational platforms can be constructed to serve the academic administrative and developmental needs of a university. The abstract argues that universities often accumulate large volumes of unstructured data—lecture material student feedback learning analytics participation trends discussion-forum exchanges evaluation records and digital submissions—that remain underutilised because they lack organised categorisation.