HUMAN AND MACHINE METHODS FOR LANGUAGE COMPREHENSION AND LEARNING

Reading and interpreting data is becoming an increasing problem for modern students. Yet, perhaps paradoxically, as technology and computer science advances this becomes a simpler task for machines. Compounding evidence also reveals that students, as part of the Millennial Generation, are increasingly receptive to non-textual media and the premises of social networking software. This talk considers some of the potential of the reading problems in humans and reviews advances in the techniques used by computers to represent knowledge and process natural language. The intent is to use the latter as an aid to the solution to the former. Intelligent Tutoring and other educational systems are included in the review as the foundation for such a solution.