Development of machine learning implementation in engineering education: A literature review

Abstract

This study has aims to determine the development of implementing machine learning in several engineering majors. The used method was a literature study, and secondary data was used from reputable international journals and published in 2015 to 2019 from each publisher, which is IEEEXplore, Springer Link, Science Direct, ERIC, and Google Scholar. The author was summarized and analysed articles obtained based on the year of publication and the context of the article. Results show that machine learning has been widely applied in engineering education through fourteen contexts, one of which is Prediction Student Academic Performance, which has continuous development from 2013 to 2019. And the total number of engineering majors that are implementing machine learning was 13 majors. This research was expected to be an illustration, reference, and consideration for technicians in engineering education to give more attention and can be applied in schools, universities, and other engineering institutions in Indonesia country.

[Retracted] The Evaluation of Music Teaching in Colleges and Universities Based on Machine Learning

“…In recent years, the application of machine learning in higher education has become increasingly popular, involving the optimization of educational resource allocation, predicting student academic performance, academic planning, and enhancing the future development of alumni. It has also given birth to the birth of new educational research fields [8][9][10][11][12]. Excavating in-depth information from educational entities such as students, teachers, teaching assistants, alumni, and education administrators can help colleges and universities allocate various teaching resources and organize educational activities more effectively, and more effectively improve students' satisfaction with courses, to enhance the learning effect of students and increase the enrollment rate of majors [13].…”

Técnicas y aplicaciones del Machine Learning e Inteligencia Artificial en educación: una revisión sistemática

“…("kindergarten") OR ("elementary school*") OR ("primary school*") OR ("middle school*") OR ("secundary school*") OR ("Bachelor*") OR ("high* school*") OR ("master*") OR ("doctora*") hicieron durante y después de la pandemia. En las revisiones sistemáticas previas (Sasmita y Mulyanti, 2020;Su et al, 2022), la selección de estudios se limitó al idioma inglés. Esto se debe a que la mayoría de las revistas de alto impacto publican sus artículos en este idioma, es por ello, que seleccionamos estudios en inglés para nuestra revisión.…”

“…Diferentes tipos de investigaciones han sido recopiladas en revisiones sistemáticas sobre IA (Zawacki-Richter et al, 2019;Zhai et al, 2021;Salas-Pilco y Yang, 2022;Su et al, 2022)Artificial Intelligence in Education (AIEd y revisiones sistemáticas sobre ML (Sasmita y Mulyanti, 2020;Luan y Tsai, 2021;Mittal et al, 2022). Las revisiones sobre IA se han centrado principalmente en el sector universitario, con la excepción de Su et al (2022) que hace su estudio tomando los niveles de primaria y secundaria.…”