Year: 2024
Type: article
Study design: Observational Study
Abstract: Objectives of the research: This project aims to identify the most effective tools for increasing student engagement. Research methods: An ad hoc questionnaire to measure the engagement capacity of teaching tools, principal component analysis (PCA), and machine learning forward regression. Structure of the article: Introduction, methodology and results (sampling, PCA, forward regression), discussion, and conclusions. Research findings: Active interaction and modular organization promote student engagement. A student’s inability to respond to questions about improving a subject often indicates a lack of interest. Engagement increases when previous teaching experiences have not incorporated interactive tools. Pre-class homework assignments enhance interest and make courses more practical. Tools that facilitate teacher-student interaction improve engagement, regardless of whether the teaching style is based on the teacher’s practical experience or a student-centered approach. Conclusions and recommendations: This research identifies several factors that significantly influence student engagement, including a modular structure, active classroom participation, pre- and post-class assignments, content quality, teaching style, and interaction through discussion platforms.
Language: English
Topic: Innovative Teaching Methods
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4405946176