Teacher professional development programs show dependency on individual initiatives with variable adoption rates

The gap

Evidence profile

Sourced from the future work and limitations and inline gaps of the source papers, classified as methodology gap, spanning 4 journals.

Supporting evidence — 4 representative gaps

• LETRAMENTO DIGITAL E TECNOLOGIAS NA EDUCAÇÃO: A INTELIGÊNCIA ARTIFICIAL NA INOVAÇÃO PEDAGÓGICA E METODOLOGIAS ATIVAS (2026) · Veredas do Direito · doi

  The paper emphasizes that ethical dimensions (algorithmic bias, privacy, social equity) are transversal to digital and AI literacy but does not specify concrete curriculum frameworks or assessment protocols for integrating these ethical epistemological aspects into institutional pedagogical practices or teacher training programs.

  methodology gapfuture workevidence 5/5
  Keywords: ethical literacy algorithmic bias privacy digital citizenship curriculum framework teacher training assessment protocols
• Desafíos éticos y alfabetización en Inteligencia Artificial en el currículo de Bachillerato: Una revisión sistemática (2026) · ASCE MAGAZINE · doi

  Teacher professional development programs show dependency on individual initiatives with variable adoption rates; evidence-based models for sustainable, mandatory teacher training in ethical AI implementation with clear protocols for continuous updates are absent from secondary education literature.

  methodology gaplimitationsevidence 5/5
  Keywords: teacher professional development AI literacy secondary education implementation protocols training sustainability
• Teachers’ perceptions of artificial intelligence in curriculum integration: opportunities, concerns, and professional development needs (2026) · Frontiers in Artificial Intelligence · doi

  The study identifies that teachers need ethical guidelines and frameworks addressing privacy, equity, and socio-emotional considerations, but does not specify which ethical frameworks should be prioritized or how context-specific implementation should vary across different educational levels and cultural settings in AI curriculum integration.

  methodology gapfuture workevidence 5/5
  Keywords: ethical guidelines AI integration privacy equity socio-emotional considerations context-specific implementation
• Role of Artificial Intelligence in Education: Transforming Learning in the Digital Era (2026) · International Journal for Research in Applied Science and Engineering Technology · doi

  The paper recommends embedding AI ethics, fairness, and accountability in educational curricula but does not specify what learning objectives students should master, what assessment methods should measure AI ethics literacy, or how to validate that ethics education actually influences subsequent AI system design practices.

  methodology gapinline gapsevidence 5/5
  Keywords: AI ethics curriculum accountability transparency fairness learning objectives assessment

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