Cited by 9Artificial Intelligence in EducationEducational Technology and PedagogyIntelligent Tutoring Systems and Adaptive Learning

Optimizing Student Engagement and Performance usingAI-Enabled Educational Tools

Mirdad, Khaizure, Daeli, Ora Plane Maria, Septiani, Nanda, Ekawati, Anita, Rusilowati, Umi·2024·Journal of Computer Science and Technology Application

Abstract

Education is the primary pillar in the progress of modern society. With the development of artificial intelligence (AI) technology, its potential to advance the learning process has become a major focus. This research focuses on the integration of AI-based educational tools to enhance student engagement and academic performance. Through experimental design with a control group, students were divided into two groups: one using AI tools while the other followed conventional methods. Students from various educational levels participated in this research. Data were collected through questionnaires and academic evaluations to compare the outcomes between the two groups. Data analysis was conducted using SmartPLS, enabling the evaluation of the impact of AI tools on student learning. The results indicate that AI integration enables a more personalized and responsive approach to the unique needs of students. It is expected that AI technology in education will bring significant changes in how students engage and achieve academic success. This research expands the understanding of the potential of AI in improving the education process. The integration of AI technology in learning is a progressive step toward a more adaptive and effective education system, preparing students for success in an increasingly connected and complex world

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Cited by 9

Authors
Mirdad, K., Daeli, O. P. M., Septiani, N., Ekawati, A., & Rusilowati, U.
Venue
Journal of Computer Science and Technology Application
Published
2024-02-27
Volume
1
Issue
1
Pages
53-60
ISSN
  • 3046-7616 (ISSN-L)
  • 3064-3597
OpenAlex
W4415239490
Cited by
9
References
0
Citations by year
2026: 6 · 2025: 3
FWCI
3.39
Type
journal article
Language
en
Open access
closed
Locations
Journal of Computer Science and Technology Application (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Educational Technology and Pedagogy
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
Keywords
artificial intelligence in education, AI-based educational tools, student engagement, academic performance, personalized learning, adaptive learning, educational technology

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