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Efektivitas Robot AI Adaptif dalam Mendukung Pembelajaran Inklusif bagi Mahasiswa dengan Learning Disabilities di Universitas Darwan Ali

Year: 2024

Type: article

Abstract: This study developed an adaptive AI robot as a learning aid for students with learning disabilities (LD) at Universitas Darwan Ali. The robot is equipped with text-to-speech, speech-to-text, voice and facial recognition features, and adaptive algorithms that adjust content delivery to match students' literacy levels. A research and development approach with agile methodology was employed, encompassing needs identification, design, testing, and implementation phases. Results indicate a 30% increase in academic comprehension and an 82% satisfaction rate among students. Additionally, the AI robot serves as a "learning companion" providing social-emotional support, which enhances learning motivation for LD students. Thus, this adaptive AI robot effectively supports inclusive education at Universitas Darwan Ali.

Source: Journal of Comprehensive Science (JCS)

DOI: 10.59188/jcs.v3i12.2912

Authors: Andy Ismail, Yuli Andriyati, Minarni Minarni, Nova Febriani, Herlina Kristin Rahel

Institution: Universitas Darwan Ali

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Quality education, Reduced inequalities

Open Access status: hybrid

OpenAlex ID: W4405927242

FWCI: 0.304

Cites: 3

Cited by: 2

Related to: 10