Work

Designing an expert system for determining student learning styles using forward chaining in engineering education

Year: 2021

Type: article

Abstract: Engineering education prepares its graduates able to work in the community and entrepreneurship, the quality of graduates is highly determined by the quality of the learning process is no exception for student learning styles. The purpose of this study was to describe the design of the expert system to determine the student learning style, the method used was forward chaining. The results of the design of this application have been able to diagnose student learning styles efficiently and provide the best solutions for their learning.

Source: Jurnal Konseling dan Pendidikan

DOI: 10.29210/159000

Author: Muhammad Anwar

Institution: Universitas Negeri Padang

Language: English

Topic: Edcuational Technology Systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $98