Artificial intelligence in Philippine education: A narrative review of applications, perceptions, and challenges

This narrative review analyzes the current status of artificial intelligence (AI) implementation in Philippine educational settings through a comprehensive synthesis of scholarly literature from 2018 to 2025. This study aims to identify current AI applications across different educational levels, analyze stakeholder perceptions and readiness, and determine implementation challenges in Philippine educational settings. A systematic literature search was conducted across Google Scholar, EBSCO Host, and ScienceDirect databases using search terms combining "Artificial Intelligence," "Philippines," and "Education". Following the selection criteria, 43 published studies underwent examination through Braun and Clarke's thematic analytical approach. Results indicate significant implementation disparities, with higher education institutions—particularly private universities in urban centers—demonstrating substantially more advanced AI integration than K-12 schools. Three major themes emerged: (1) current AI applications spanning teaching tools, student support systems, administrative functions, and research tools; (2) mixed stakeholder perceptions with students showing more positive attitudes than faculty; and (3) significant implementation challenges including infrastructure limitations and technical expertise gaps as major barriers. Key challenges include the urban-rural digital divide, insufficient professional development opportunities, ethical concerns around academic integrity, and the absence of comprehensive institutional policies. The study concludes that realizing AI's potential in Philippine education requires coordinated efforts to enhance technological infrastructure, develop educator capacity, establish appropriate policies, and ensure equitable access. The study recommends developing national AI education policy frameworks, investing in rural digital infrastructure, and implementing systematic professional training initiatives targeting technical skills and educational AI implementation.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.15902949
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial intelligence in Philippine education: A narrative review of applications, perceptions, and challenges

Zenodo (CERN European Organization for Nuclear Research)
Online Learning and Analytics
article

Artificial intelligence in Philippine education: A narrative review of applications, perceptions, and challenges

article en

Abstract

This narrative review analyzes the current status of artificial intelligence (AI) implementation in Philippine educational settings through a comprehensive synthesis of scholarly literature from 2018 to 2025. This study aims to identify current AI applications across different educational levels, analyze stakeholder perceptions and readiness, and determine implementation challenges in Philippine educational settings. A systematic literature search was conducted across Google Scholar, EBSCO Host, and ScienceDirect databases using search terms combining "Artificial Intelligence," "Philippines," and "Education". Following the selection criteria, 43 published studies underwent examination through Braun and Clarke's thematic analytical approach. Results indicate significant implementation disparities, with higher education institutions—particularly private universities in urban centers—demonstrating substantially more advanced AI integration than K-12 schools. Three major themes emerged: (1) current AI applications spanning teaching tools, student support systems, administrative functions, and research tools; (2) mixed stakeholder perceptions with students showing more positive attitudes than faculty; and (3) significant implementation challenges including infrastructure limitations and technical expertise gaps as major barriers. Key challenges include the urban-rural digital divide, insufficient professional development opportunities, ethical concerns around academic integrity, and the absence of comprehensive institutional policies. The study concludes that realizing AI's potential in Philippine education requires coordinated efforts to enhance technological infrastructure, develop educator capacity, establish appropriate policies, and ensure equitable access. The study recommends developing national AI education policy frameworks, investing in rural digital infrastructure, and implementing systematic professional training initiatives targeting technical skills and educational AI implementation.

Zenodo (CERN European Organization for Nuclear Research)
Far Eastern University (PH)
Industry, innovation and infrastructure
Openalex Percentile: Top 54%
Online Learning and Analytics
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.

Artificial intelligence in Philippine education: A narrative review of applications, perceptions, and challenges · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS