How many papers support this gap analysis?

5 papers from our local library contribute to this synthesis, with an average publication year of 2026.

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education5 papersavg year 2026weak evidence

Big data and AI in educational research require attention

Research gap analysis derived from 5 education papers in our local library.

The gap

Big data and AI in educational research require attention to issues of scale, context, and ethics in implementation.

Evidence profile

Sourced from the open questions and future work of the source papers, classified as theory gap, spanning 5 journals.

Research trend

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

Supporting evidence — 5 representative gaps

Evaluation of Artificial Intelligence Tools Integration among Pre- Service Biology Teachers: A Case Study of Federal University of Education, Zaria, Kaduna State, Nigeria (2026) · Federal University Gusau Faculty of Education Journal · doi
The study reveals concerns about data privacy and ethical implications of AI in educational settings that warrant thorough investigation to guide effective integration and policy formulation.
theory gapopen questionsevidence 5/5
Keywords: reveals concerns privacy ethical implications educational settings warrant thorough investigation guide effective integration policy formulation
INVESTIGATING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON CREATIVE WRITING SKILLS AMONG UNDERGRADUATE STUDENTS IN SIALKOT (2026) · Journal of Applied Linguistics and TESOL (JALT) · doi
The study identifies concerns about unethical use of AI and plagiarism but does not comprehensively explore mechanisms or interventions to address these ethical concerns in academic settings.
theory gapopen questionsevidence 5/5
Keywords: concerns identifies unethical plagiarism comprehensively explore mechanisms interventions address ethical academic settings
Desafíos éticos y alfabetización en Inteligencia Artificial en el currículo de Bachillerato: Una revisión sistemática (2026) · ASCE MAGAZINE · doi
Institutional governance frameworks for regulating ethical AI use in secondary classrooms lack empirical grounding; specific protocols for AI authorship declaration, algorithmic transparency, data protection, and plagiarism detection in student work require development and validation in secondary educational settings.
theory gapopen questionsevidence 5/5
Keywords: governance frameworks ethical AI regulation authorship declaration algorithmic transparency data protection secondary education
INTELIGÊNCIA ARTIFICIAL NA EDUCAÇÃO INCLUSIVA: POTENCIALIDADES E DESAFIOS DO USO DE SISTEMAS INTELIGENTES NO PROCESSO DE ENSINO-APRENDIZAGEM (2026) · Revista Ilustração · doi
Clear ethical guidelines are needed to protect student rights, especially regarding data privacy and transparency of digital systems used in educational contexts.
theory gapopen questionsevidence 4/5
Keywords: clear ethical guidelines needed protect student rights especially regarding privacy transparency digital systems used educational
Artificial Intelligence in the Evaluation of Academic Writing in Higher Education (2026) · English Language Teaching · doi
Big data and AI in educational research require attention to issues of scale, context, and ethics in implementation.
theory gapfuture workevidence 4/5
Keywords: educational require attention issues scale context ethics implementation

Questions about this gap

Big data and AI in educational research require attention to issues of scale, context, and ethics in implementation. This is supported by 5 representative gap statements extracted from 5 papers, rated weak evidence.

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