The Role of Artificial Intelligence in Shaping Effective Teaching Strategies: A Multiple Case Study of Filipino and Indonesian Teachers

Artificial Intelligence is considered a technological platform that impacts the teaching and learning process, particularly on its effect on assessment and grading and influence on graduates' future careers. However, the use of AI in the field of education, specifically on effective teaching strategies and classroom management poses issues experienced by teachers in the field. The increased use of AI in the classroom faces significant challenges because of insufficient resources for complete implementation. Nevertheless, researchers ground the argument in the gap and observed the need to find out more in the context of the experiences, coping mechanisms, and insights of Filipino and Indonesian teachers regarding the role of AI in shaping effective teaching strategies to improve student learning outcomes within the Philippine and Indonesian education system. Through this study initiative, an international university collaboration is established to conduct a multiple case study using qualitative interviews to gather essential information. Face-to-face interviews and online interviews were conducted with the participants with the guide of a given research questionnaire. Thus, semi-structured interviews are conducted with three Filipino and two Indonesian teachers as participants from private schools to gather their experiences in implementing and using AI-driven teaching strategies in their classrooms, forming the basis of this multiple case study. The researchers then proceeded to analyze the gathered information using descriptive-case analysis, within-case analysis, and cross-case analysis. In the concluding part of this study, from technical obstacles to systemic issues of digital infrastructure and technological inequality, these complexities underscore the need for concerted efforts to address barriers to AI-driven education. Despite these challenges, teachers demonstrate resilience and resourcefulness in navigating technological hurdles and promoting student engagement. By investing in professional development and fostering collaboration, educators unlock the full potential of AI in education and create inclusive learning environments that empower all students to succeed in the digital age.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-01
DOI
https://doi.org/10.5281/zenodo.13833996
Citations
1
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
2.10
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role of Artificial Intelligence in Shaping Effective Teaching Strategies: A Multiple Case Study of Filipino and Indonesian Teachers

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Technology-Enhanced Education Studies
2.10
article

The Role of Artificial Intelligence in Shaping Effective Teaching Strategies: A Multiple Case Study of Filipino and Indonesian Teachers

article en
1 citations

Abstract

Artificial Intelligence is considered a technological platform that impacts the teaching and learning process, particularly on its effect on assessment and grading and influence on graduates' future careers. However, the use of AI in the field of education, specifically on effective teaching strategies and classroom management poses issues experienced by teachers in the field. The increased use of AI in the classroom faces significant challenges because of insufficient resources for complete implementation. Nevertheless, researchers ground the argument in the gap and observed the need to find out more in the context of the experiences, coping mechanisms, and insights of Filipino and Indonesian teachers regarding the role of AI in shaping effective teaching strategies to improve student learning outcomes within the Philippine and Indonesian education system. Through this study initiative, an international university collaboration is established to conduct a multiple case study using qualitative interviews to gather essential information. Face-to-face interviews and online interviews were conducted with the participants with the guide of a given research questionnaire. Thus, semi-structured interviews are conducted with three Filipino and two Indonesian teachers as participants from private schools to gather their experiences in implementing and using AI-driven teaching strategies in their classrooms, forming the basis of this multiple case study. The researchers then proceeded to analyze the gathered information using descriptive-case analysis, within-case analysis, and cross-case analysis. In the concluding part of this study, from technical obstacles to systemic issues of digital infrastructure and technological inequality, these complexities underscore the need for concerted efforts to address barriers to AI-driven education. Despite these challenges, teachers demonstrate resilience and resourcefulness in navigating technological hurdles and promoting student engagement. By investing in professional development and fostering collaboration, educators unlock the full potential of AI in education and create inclusive learning environments that empower all students to succeed in the digital age.

Zenodo (CERN European Organization for Nuclear Research)
Indonesia University of Education (ID), University of the Immaculate Conception (PH), University of Mindanao (PH), University of Indonesia (ID)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Technology-Enhanced Education Studies
2.10
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.