AI evidence extraction

Shaping the Future of Education: Exploring the Potential and Consequences of AI and ChatGPT in Educational Settings

Simone Grassini · Education Sciences · 2023

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

5/10

Relevance

1/4

Quality (LMQS)

Evidence

921

Citations

32.59

FWCI

Top 10%

Impact

This is an AI analysis. Read the peer-reviewed original at the publisher: https://doi.org/10.3390/educsci13070692

Methodology & findings

Study design

Narrative review article analyzing current research, opinions, and published literature on AI and ChatGPT in educational settings.

Main result

The paper found that "ChatGPT and similar AI systems possess the potential to serve as a significant asset in education, occupying various roles that enrich both learning and pedagogical experiences," while simultaneously identifying substantial challenges including accuracy concerns, plagiarism risks, and the lack of genuine understanding in generative models. The authors note that "ChatGPT may generate incorrect or even fabricated information, as often reported by both users and the scientific literature," and that "students utilizing ChatGPT for their assignments are more likely to engage in plagiaristic behavior than their counterparts who do not use the tool."

Research paradigm

Interpretive/Critical analysis

Author conclusions

The authors conclude: "the foothold of AI in the educational sphere is here to stay, and it could quickly push extensive transformations of our teaching and learning methodologies." They advocate for integration rather than banning: "At the moment, it seems more practical to accept and integrate these technological tools into our educational structures instead of trying to hopelessly suppress their growth, which could do more harm than good to the students." They emphasize that "a cooperative, cross-disciplinary approach to navigate these potential challenges and capitalize on AI's opportunities" involving "policymakers, researchers, educators, and technology experts—including private companies developing AI tools—can be pivotal in steering the future of education."

Risk of bias

Selection bias: Non-systematic literature screening may introduce selection bias in which studies are included or excluded; Publication bias: Review relies on published literature, potentially excluding unpublished or grey literature; Recency bias: Literature search limited to December 2022-May 2023, capturing only very recent publications; Author interpretation bias: Narrative synthesis prone to selective interpretation of findings; No quality assessment: Included studies not systematically appraised for methodological quality; Technology vendor perspective bias: Heavy reliance on OpenAI documentation and claims about GPT-4 capabilities; Non-systematic literature search (selection bias in article inclusion); Snowball sampling method (publication bias, citation bias); Limited temporal scope (December 2022 to May 2023); Potential for sampling bias toward recent publications on trending topic; Non-systematic literature screening (potential publication bias and selection bias); Temporal limitation: articles only from December 2022 to May 2023 (narrow window); Reliance on snowball method which may introduce selection bias; No quality assessment of included articles reported; Author perspectives on AI integration may influence interpretation of literature

Limitations

The paper explicitly states: "The existing literature was screened non systematically" and does not employ structured, systematic review protocols
The authors acknowledge that "it is premature to draw concrete conclusions" about assessment methods and that "the novelty of this application is partially tempered due to the preexisting success of machine translation technologies." Additionally, the authors note that "even training educators to recognize AI-generated content may be impossible
AI tools are improving at imitating human writing styles, and they will probably soon generate text that is totally indistinguishable from human writing." The review is limited to articles published between December 2022 and May 2023, creating temporal constraints
No systematic protocol was followed, no quality assessment of included studies was conducted, and no quantitative synthesis was performed.

Open questions raised

Limited understanding of how well AI creativity could be adapted and implemented in teaching contexts
Need for comprehensive guidelines on 'fair use' of AI tools in academic settings
Lack of clarity on data privacy and security concerns with ChatGPT (authors note discrepancy between OpenAI's official claims and ChatGPT's own responses about data retention)
Need for improved AI-based plagiarism detection tools that can keep pace with advancing AI capabilities
Requirement for professional development enabling teachers to design effective assessment practices in the age of AI
Need to address potential widening of digital divide through differential access to AI tools

Extracted from: pdfAgreement 77%

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