The empirical research on human knowledge processing in natural language within engineering education

Abstract

The state-of-the art of the computer supported or enhanced teaching and learning processes is mostly focused on content acquisition, processing, and management; virtual learning environments; learning analytics; educational data mining. There is an absence of approaches based on knowledge exchange between machines and humans in knowledge based processes. This paper describes such an approach. Within an empirical participatory action research on technology enhanced learning the issue of knowledge is understood as a key element of any automation of human knowledge processing. Teaching is thus considered as a typical knowledge based process. In this context, the utility model is also used, which implemented “virtual knowledge” as a universal construct, which “inter-disciplinarilly” bridges the mental processes of humans and the physical processes performed by computers. Examples of such solutions are briefly mentioned. It is also emphasized that a complex computer supported collaborative learning requires, in the real practice, to execute a combined pedagogic (didactic) and informatics research.