With the rapid progress of computer technology during
recent years, researchers have attempted to develop
more effective programs for testing and improving student
learning performance. However,in conventional testing
systems, students merely obtain a score based on their
test results, and are given no direction regarding
how to improve their learning performance.
Students would benefit from ways of analyzing test
results and being provided with learning suggestions.
This investigation presents a learning diagnosis approach
for providing students with personalized learning suggestions
by analyzing heir test results and test item related
concepts. Based on this approach, a testing and diagnosis
system is implemented on computer networks. Experimental results on a nutrition course have demonstrated
the feasibility of this approach in enhancing students
in their learning performance, making it highly
promising
for further study.
Relation:
Asian Journal of Health and Information Sciences 1(1):43-60
