PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 11, 20260 citationsOpen Access

Ethical Issues and Challenges in Implementing DepEd AI Guidelines in Basic Education

View Full Paper
GFGerlyn FortezJPJoan PasigonDTDaisy Tangbawan

Key Points

  • The study aims to examine the ethical issues and challenges faced by teachers in implementing AI guidelines in basic education.
  • Employed a quantitative descriptive–correlational research design
  • Collected data from 45 graduate student-teachers
  • Analyzed data using descriptive statistics, Pearson’s correlation, and multiple regression analysis
  • Conducted qualitative thematic analysis to identify key strategies
  • Teachers showed a moderate awareness of DepEd AI guidelines
  • Recognized ethical issues such as academic dishonesty, data privacy, and algorithmic bias
  • Identified challenges including limited training and unclear policy guidelines
  • Significant positive relationships found among awareness, ethical issues, challenges, and AI practices
  • Ethical issues were the strongest predictor of ethical AI practices

Abstract

Artificial intelligence (AI) is playing an increasingly transformative role in education by enhancing teaching and learning through tools such as chatbots, automated grading systems, and intelligent tutoring platforms. This study thoughtfully examined the ethical issues and challenges associated with implementing the Department of Education (DepEd) Foundational Guidelines on Artificial Intelligence in Basic Education, with a focus on teachers’ awareness, ethical concerns, implementation challenges, and ethical AI practices. A quantitative descriptive–correlational research design was employed, supplemented by a qualitative thematic analysis. Data were collected from 45 graduate student-teachers and analyzed using descriptive statistics, Pearson’s correlation, and multiple regression analysis. The findings revealed that teachers demonstrated a moderate level of awareness of the DepEd AI guidelines and generally exhibited responsible AI practices in the classroom. Ethical issues, such as academic dishonesty, data privacy, and algorithmic bias, were strongly recognized, whereas implementation challenges included limited training, insufficient resources, and unclear policy guidelines. Correlation analysis showed significant positive relationships among awareness, ethical issues, challenges, and ethical AI practices. Regression results further indicated that ethical issues, awareness, and challenges significantly predicted teachers’ ethical AI practices, with ethical issues emerging as the strongest predictor. Thematic analysis identified key strategies to improve ethical AI implementation, including professional development, clearer policy guidelines, monitoring mechanisms, resource provision, and context-based application. The study concludes that while teachers are committed to ethical AI use, enhanced training, policy clarity, and institutional support are essential to strengthen responsible AI integration, highlighting the need for a comprehensive and collaborative approach to ethical AI use in basic education.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Fortez et al. (2026) studied this question.

synapsesocial.com/papers/69d9e6b078050d08c1b77051https://doi.org/10.5281/zenodo.19484616
Ask AI
Helpful
Bookmark
Share
View Full Paper