EXPLORING THE CHALLENGES OF CURRICULUM DEVELOPMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE A SYSTEMATIC REVIEW

The rapid integration of artificial intelligence (AI) in all domains of society is reshaping the academic landscape, calling for a change in curriculum design and delivery. This systematic review investigates how the educational system is changing to adapt its curriculum to align with the opportunities and challenges created by AI technologies. The four primary theoretical frameworks include Constructivist Learning Theory, Technological Pedagogical Content Knowledge (TPACK), Digital Capital Theory, and the 21st-Century Skills Framework in the framework of AI education teaching, technical and equity dimensions. The results show that when AI promises personal education, administrative performance, and modern teaching methods, there are important gaps in curriculum education, the preparation of teachers, and moral integration. In combination with current global literature, this study provides valuable insights for teachers, policymakers, and curriculum designers in the AI-powered world.

Authors

Institutions

Publication Details

Journal
Global Social Sciences Review
Published
2025-07-12
DOI
https://doi.org/10.31703/gssr.2025(x-ii).12
Primary Topic
Educational Leadership and Innovation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EXPLORING THE CHALLENGES OF CURRICULUM DEVELOPMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE A SYSTEMATIC REVIEW

Salma Waheed, Rizky Yahya, Aima Shafiq
Global Social Sciences Review
Educational Leadership and Innovation
article

EXPLORING THE CHALLENGES OF CURRICULUM DEVELOPMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE A SYSTEMATIC REVIEW

Salma Waheed, Rizky Yahya, Aima Shafiq
article en

Abstract

The rapid integration of artificial intelligence (AI) in all domains of society is reshaping the academic landscape, calling for a change in curriculum design and delivery. This systematic review investigates how the educational system is changing to adapt its curriculum to align with the opportunities and challenges created by AI technologies. The four primary theoretical frameworks include Constructivist Learning Theory, Technological Pedagogical Content Knowledge (TPACK), Digital Capital Theory, and the 21st-Century Skills Framework in the framework of AI education teaching, technical and equity dimensions. The results show that when AI promises personal education, administrative performance, and modern teaching methods, there are important gaps in curriculum education, the preparation of teachers, and moral integration. In combination with current global literature, this study provides valuable insights for teachers, policymakers, and curriculum designers in the AI-powered world.

Global Social Sciences ReviewVol. 10(2)
University of Okara (PK)
Quality Education
Openalex Percentile: Top 10%
Educational Leadership and Innovation
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.