Artificial Intelligence Animation in English Learning: Innovation in the Merdeka Curriculum Implementation

Conventional teaching methods often lack interactivity and fail to address diverse learning needs, resulting in reduced student engagement. This study investigates the use of AI-based animation as an innovative educational tool to enhance student motivation, participation, and comprehension, in alignment with the Merdeka Curriculum’s focus on student-centered and flexible learning approaches. A qualitative research design was employed, involving semi-structured interviews with educators and students, as well as participant observations in classroom settings. The implementation of an AI animation tool was assessed using user engagement metrics and thematic analysis of feedback from both students and teachers. Initial classroom trials indicated a 25% increase in student participation when AI animations were integrated into lessons, compared to traditional teaching methods. Furthermore, 80% of students reported that the AI-based animations made learning more enjoyable and accessible, citing improved understanding and sustained interest in classroom activities. The findings highlight the effectiveness of AI-based animations in fostering active learning and engagement. This approach supports the Merdeka Curriculum’s principles of autonomy, collaboration, and adaptive pedagogy. By catering to diverse student needs and promoting a more dynamic classroom environment, AI-driven tools offer promising pathways for future educational innovation.

Authors

Publication Details

Journal
AL-ISHLAH Jurnal Pendidikan
Published
2025-03-28
DOI
https://doi.org/10.35445/alishlah.v17i1.5870
Primary Topic
Educational Curriculum and Learning Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence Animation in English Learning: Innovation in the Merdeka Curriculum Implementation

Mohd. Rafi Riyawi, Galih Satriyo, Muhamad Alfi Khoiruman
AL-ISHLAH Jurnal Pendidikan
Educational Curriculum and Learning Methods
article

Artificial Intelligence Animation in English Learning: Innovation in the Merdeka Curriculum Implementation

Mohd. Rafi Riyawi, Galih Satriyo, Muhamad Alfi Khoiruman
article en

Abstract

Conventional teaching methods often lack interactivity and fail to address diverse learning needs, resulting in reduced student engagement. This study investigates the use of AI-based animation as an innovative educational tool to enhance student motivation, participation, and comprehension, in alignment with the Merdeka Curriculum’s focus on student-centered and flexible learning approaches. A qualitative research design was employed, involving semi-structured interviews with educators and students, as well as participant observations in classroom settings. The implementation of an AI animation tool was assessed using user engagement metrics and thematic analysis of feedback from both students and teachers. Initial classroom trials indicated a 25% increase in student participation when AI animations were integrated into lessons, compared to traditional teaching methods. Furthermore, 80% of students reported that the AI-based animations made learning more enjoyable and accessible, citing improved understanding and sustained interest in classroom activities. The findings highlight the effectiveness of AI-based animations in fostering active learning and engagement. This approach supports the Merdeka Curriculum’s principles of autonomy, collaboration, and adaptive pedagogy. By catering to diverse student needs and promoting a more dynamic classroom environment, AI-driven tools offer promising pathways for future educational innovation.

AL-ISHLAH Jurnal PendidikanVol. 17(1)
Openalex Percentile: Top 94%
Educational Curriculum and Learning Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.