Article Per Year (5 Year)
p-Index From 2020 - 2025
1.564
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Jurnal Visi Ilmu Pendidikan PROCEEDING IC-ITECHS 2014 Jurnal Pendidikan UNIGA JTP - Jurnal Teknologi Pendidikan Infotek : Jurnal Informatika dan Teknologi Indo-MathEdu Intellectuals Journal Jurnal Pendidikan dan Pembelajaran Sekolah Dasar (JPPSD) Jurnal Pendidikan Teknologi Informasi (J-Diteksi)
Elvani Hertati
Universitas Nahdlatul Ulama
Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : PROCEEDING IC-ITECHS 2014

 1 
The Digital Learning Revolution: AI-Powered Adaptive Learning in PGSD Lectures Hertati, Elvani
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1532

Abstract

The development of digital technology has significantly impacted education, including PGSD (Primary School Teacher Education) lectures. AI-powered adaptive learning offers vast potential to revolutionize digital learning in PGSD, particularly in the course on Digital Learning. This study aims to explore the use of AI-powered adaptive learning in the context of fifth-semester PGSD students enrolled in Digital Learning courses for elementary schools. This research employs a qualitative approach with a case study method. Data were collected through observations, in-depth interviews with lecturers and students, and document analysis. Data were analyzed thematically to identify the benefits, challenges, and effective strategies for implementing AI-powered adaptive learning. The findings reveal that AI-powered adaptive learning has significant potential to enhance the effectiveness of digital learning in PGSD lectures. This system can provide personalized learning tailored to the needs and abilities of each student. It also boosts learning motivation, fosters independence, and optimizes study time. However, the study also highlights several challenges, such as resource availability, technology access, and lecturers' readiness to implement this system. This research recommends that universities consider integrating AI-powered adaptive learning as an integral part of digital learning in PGSD lectures. It also serves as a reference for developing strategies and policies that support the effective and sustainable implementation of AI-powered adaptive learning in higher education.
Co-Authors Elma Tiana, Elma Tiana Fathonah, Iir Nikmatul Fatmawati, Risdiana Andika Isni Kurnia, Ulfa Kartono Kartono Lathifah, Afra Listiarini, Yuni Novi Rahmawati Putnawati, Putnawati Risdiana Andika Fatmawati Sari, Sulistiya Setyowati, Dessy Siti Halidjah Suryaningsih, Nining Ulfa Isni Kurnia Yudha Pratama, Rendy