An expert system developed to assist digital electronic teaching

SAATCHI, Reza, AYIENGA, E.M., TRAVIS, Jon and RIPPON, Frank (1998). An expert system developed to assist digital electronic teaching. Engineering Science and Education Journal, 7 (2), 81-87.

Full text not available from this repository. (Contact the author)
Official URL: http://ieeexplore.ieee.org/document/675511/
Link to published version:: https://doi.org/10.1049/esej:19980206
Related URLs:

    Abstract

    Expert systems are computer programs designed to model the problem-solving ability of human experts. They have experienced tremendous growth and popularity since their commercial introduction in the early 1980s. Expert systems are now used in areas such as business, medicine, science, engineering and manufacturing. Their applications to field of education have also provided extensive opportunities. In this study the effectiveness of an expert system as an educational tool is demonstrated by considering a typical case where an expert system was successfully developed to aid the teaching of digital electronics. A brief description of expert systems is provided and the steps followed to develop the required system are outlined. The techniques described can easily be adapted to a variety of other similar applications.

    Item Type: Article
    Additional Information: This is an important article that currently do not appear on SHURA. It is old (1998) but if possible I would this to be on my SHURA. Thanks . Please note the Publisher changed name from IEE (institute of Electrical Engineering) to IET (Institute of Engineering Technology)
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Mobile Machine and Vision Laboratory
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Engineering and Mathematics
    Identification Number: https://doi.org/10.1049/esej:19980206
    Page Range: 81-87
    Depositing User: Reza Saatchi
    Date Deposited: 05 Apr 2018 14:03
    Last Modified: 05 Apr 2018 14:03
    URI: http://shura.shu.ac.uk/id/eprint/18686

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics