education9 papersavg year 2026moderate evidence

The integration of artificial intelligence in education

Research gap analysis derived from 9 education papers in our local library.

The gap

The integration of artificial intelligence in education poses challenges related to ethical competence, inclusive competence, and teacher literacy. The study highlights the need for critical evaluation of the use of artificial intelligence

Evidence profile

Sourced from the stated research gap and future-work section and stated challenges of the source papers, classified as general, spanning 8 journals.

Research trend

Established — well-defined area with open sub-problems.

Supporting evidence — 8 representative gaps

  • Inteligencia artificial: Apropiaciones y ética en el proceso de aprendizaje de lenguas en estudiantes de pregrado en México (2026) · RIDE Revista Iberoamericana para la Investigación y el Desarrollo Educativo · doi

    The paper identifies a gap in the existing literature on the use of AI in language learning, particularly in the context of Mexican pregraduate students. The paper notes that there is a need for further research on the use of AI in education, including studies on the effectiveness of AI-powered language learning tools and the ethical implications of AI use. The paper suggests that addressing this gap is essential to fully understanding the potential of AI to improve educational outcomes and to ensuring that AI is used in a way that is transparent, accountable, and fair.

    generalstated research gap
    Keywords: paper identifies gap existing literature use language learning
  • Ethical challenges of artificial intelligence in education: A systematic literature review on bias, privacy, and academic integrity (2026) · International Journal of Applied Resilience and Sustainability · doi

    Future research should focus on developing solutions to address the ethical challenges of AI in education. The development of explainable AI, human-centered AI, ethical governance, privacy-preserving AI, stakeholder engagement, and AI literacy is crucial for responsible innovation. Further research is needed to investigate the impact of AI on educational equity, transparency, and accountability.

    generalfuture-work section
    Keywords: future research focus developing solutions address ethical challenges
  • Generative Artificial Intelligence Literacy Training for 12th Grade English as a Foreign Language Students: Effects on Artificial Intelligence Literacy, ChatGPT Usage, and Autonomous English Learning (2026) · HAYEF: Journal of Education · doi

    The study identifies a gap in the literature regarding the effects of generative artificial intelligence literacy training on 12th-grade English as a foreign language students' AI literacy, ChatGPT use for language learning, and learner autonomy. The study notes that artificial intelligence literacy skills among K-12 English as a foreign language students remain underdeveloped, despite the growing prevalence of generative artificial intelligence in teaching and learning.

    generalstated research gapevidence 5/5
    Keywords: study identifies gap literature regarding effects generative artificial
  • How Generative AI Tools Support the Learning of American Idioms: Insights from Moroccan Postgraduate Students (2026) · Journal of English Language Teaching and Applied Linguistics · doi

    The study identifies a gap in the existing research on the use of AI tools for language learning, particularly in the context of learning American idioms. The research gap is related to the lack of understanding of the relationship between AI tool usage and idiomatic knowledge acquisition. The study highlights the need for further research on the use of AI tools for language learning and the development of effective language instruction programs.

    generalstated research gapevidence 5/5
    Keywords: study identifies gap existing research use tools language
  • Peran Artificial Intelligence dalam Pembelajaran Adaptif untuk Meningkatkan Keterlibatan Siswa SMP (2026) · JINEA Journal of Innovation in Education and Learning · doi

    Future research should focus on empirical studies on AI in middle school education, including the impact on student engagement and motivation. Studies should investigate the effectiveness of AI implementation in different contexts and populations. Research should also explore the potential benefits and challenges of AI in education, including the need for digital literacy, pedagogical competence, and infrastructure.

    generalfuture-work sectionevidence 5/5
    Keywords: future research focus empirical studies middle school education
  • Senior High School Students’ and English Teachers’ Perceptions of AI Tools in English‑Related Tasks: Benefits and Concerns in Baguio City (2026) · Journal of ICT and Education · doi

    The study identified challenges associated with AI tool usage in English learning, including overdependency on AI-produced materials and diminished critical thinking ability. The researchers noted that students who rely on AI-generated content will lose their ability to create knowledge. The study highlighted the need for a balance between technological support and genuine educational encounters.

    generalstated challengesevidence 5/5
    Keywords: study identified challenges associated tool usage english learning
  • The impact of artificial intelligence on education and learning processes (2026) · Revista Internacional de Pedagogía e Innovación Educativa · doi

    The introduction of AI in education raises questions about ethics, safety, and the risks associated with excessive dependence on technology. There is a need for updates to curricula, teacher training programs, and the creation of ethical and legal frameworks governing the application of AI in education. The use of AI in education may hurt educational processes, for example, by eliminating values typical of traditional education.

    generalstated challengesevidence 5/5
    Keywords: introduction education raises questions about ethics safety risks
  • Competencias docentes para integrar inteligencia artificial con criterios éticos e inclusivos (2026) · Revista Científica Ciencia y Método · doi

    The integration of artificial intelligence in education poses challenges related to ethical competence, inclusive competence, and teacher literacy. The study highlights the need for critical evaluation of the use of artificial intelligence in education. The paper emphasizes the importance of human supervision and educational justice criteria in the integration of artificial intelligence.

    generalstated challengesevidence 5/5
    Keywords: integration artificial intelligence education poses challenges related ethical

Questions about this gap

The integration of artificial intelligence in education poses challenges related to ethical competence, inclusive competence, and teacher literacy. The study highlights the need fo… This is supported by 8 representative gap statements extracted from 9 papers, rated moderate evidence.

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