A Mathematical Model for the Relative Assessment of Surface and Deep Learning
Year: 2015
Type: article
Abstract: In this paper we establish a mathematical model for the assessment of the human cognition, in particular, the student ability to learn in different practical cases. The method allows us to obtain quantitative and qualitative estimates to a group of undergraduates for their acquired knowledge. We illustrate the theory by a practical example. A qualitative analysis to the obtained data is presented.
Authors: L. Nikolova, M. Hristova, D. Kolev, H. Georgiev
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W2011943229
