A cognitive framework is suggested in this article to monitor learning
processes based on the combination of human-computer interaction. The observation is
founded on the interaction of elements between humans and the computer. The
adaptive architecture of cognitive learning is introduced for interaction between
humans and machines. The authors have also chosen a topology tree as the hierarchical
model of a low-dimensional educational space to perform online observations. In
addition, the methodology for the BSM (coupling-manifold brain human cognitive
scenario) is provided for the coupling morphism. It proposes that things be observed in
a mental or learning diverse way. Finally, this chapter suggests developing new tools
and implementing different functionalities integrating intelligent data analysis
techniques. An area that still needs further work is the cognitive area, particularly
towards helping build more accurate mental model.
Keywords: Computational, Computer simulation, Google brain, Indexing, Internet web, Knowledge base, Learning, Sense reality, Searching, Shannon, Smart Behavior, Sensor Technology, Search engine, Teletype Machine, Think deeper, Trigger, Web page.