Title :
Using intelligent computer technology to measure the intellectual development of engineering students
Author :
Miller, Robyn L. ; Olds, Barbara
Author_Institution :
Colorado Sch. of Mines, Golden, CO, USA
Abstract :
Students completing an undergraduate engineering degree are expected to develop intellectually in addition to acquiring specific engineering knowledge and skills. However, effectively measuring intellectual development involves a time-consuming and expensive interview conducted and evaluated by trained human experts. In order to develop a quick and inexpensive alternative method for making these measurements, the authors are writing a software package based on neural network and expert system technology to emulate the interview and evaluation process. If successful, the software will allow engineering programs to rapidly and reliably measure the intellectual development of their students as a formative and summative assessment tool. This paper describes their progress on the project and remaining research questions under investigation.
Keywords :
educational administrative data processing; engineering education; expert systems; intelligent tutoring systems; neural nets; engineering knowledge; engineering skills; engineering students; expert system technology; intellectual development; intelligent computer technology; neural network technology; software package; undergraduate engineering degree; Engineering students; Expert systems; Humans; Instruments; Knowledge engineering; Neural networks; Position measurement; Reliability engineering; Software measurement; Testing;
Conference_Titel :
Frontiers in Education Conference, 1998. FIE '98. 28th Annual
Conference_Location :
Tempe, AZ, USA
Print_ISBN :
0-7803-4762-5
DOI :
10.1109/FIE.1998.738795