Open AccessStructured Assessment on Learning Progress
Author(s) -
Shan Fu,
Qiang Sun
Publication year - 2021
Language(s) - English
Resource type - Journals
ISSN - 2411-2933
DOI - 10.31686/ijier.vol9.iss5.3097
Subject(s) - field (mathematics) , test (biology) , artificial intelligence , computer science , cognition , automation , key (lock) , mathematics education , psychology , knowledge management , engineering , mathematics , mechanical engineering , paleontology , computer security , neuroscience , pure mathematics , biology
This paper presented a novel technique and practice of the assessment of learning progress of university students in an engineering discipline. Instead of measuring the effectiveness of accumulation of specific knowledge, the newly developed assessment technique evaluates the development of the intelligence of the students. The key components of the proposed technique are a performance-based method for the estimation of the intelligence level and a cognitive mental faculty-oriented decomposition method to determine the intelligence contribution factors for learning subjects and exam questions. The proposed technique was applied to assess the learning progress of a group of university students in the field of automation, and the results from test agreed with the expectation well.