AI evidence extraction

Generative Artificial Intelligence in Education: From Deceptive to Disruptive.

Marc Alier, Francisco José García‐Peñalvo, Jorge D. Camba · International Journal of Interactive Multimedia and Artificial Intelligence · 2024

AI-generated evidence extraction, verified across multiple analytical personas. Not a substitute for the peer-reviewed original.

5/10

Relevance

0/4

Quality (LMQS)

Evidence

141

Citations

49.63

FWCI

Top 10%

Impact

This is an AI analysis. Read the peer-reviewed original at the publisher: https://doi.org/10.9781/ijimai.2024.02.011

Methodology & findings

Study design

Narrative review article exploring the management and integration of GenAI in educational settings through discussion of opportunities, challenges, and ethical considerations.

Main result

The paper identifies that "GenAI can create original content that can be used to augment traditional teaching methods, creating a more interactive and personalized learning experience" and that "GenAI can be utilized as an assessment tool and for providing feedback to students using generated content." The findings indicate both opportunities for educational enhancement and significant challenges related to academic integrity and authenticity of student work.

Reports effect sizes.

Research paradigm

Interpretivist/Argumentative

Author conclusions

The authors conclude that "it is important to ensure that academic standards are maintained, and the originality of the student's work is preserved" and emphasize the need for "implementing ethical practices in the use of GenAI models and ensuring that the technology is used to support and not replace the student's learning experience."

Open questions raised

The paper highlights the need for research on ethical considerations, best practices, and opportunities for managing and integrating GenAI in educational settings while maintaining academic integrity standards.
The paper identifies the need for further exploration of ethical considerations, best practices, and opportunities for GenAI integration in educational settings, as well as the need to address academic integrity concerns and maintain educational standards.
The paper identifies the need for research on ethical practices in GenAI use in education, best practices for integration, and approaches to maintaining academic integrity while leveraging GenAI technologies.

Data: not_statedCode: not_statedExtracted from: pdfAgreement 78%

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