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Using AI to Prevent Students from Using It

In education, there is debate over whether student use of artificial intelligence should be controlled through technological tools. The initiative proposes defining what constitutes plagiarism or academic fraud, a responsibility now increasingly placed on teachers who are ever more exposed to unsafe environments.

Using AI to Prevent Students from Using It

An article published by El País highlights how in educational settings it has become the sole responsibility of instructors to identify when students use artificial intelligence to complete academic assignments.

The proposal involves implementing artificial intelligence systems within schools with the aim of detecting and preventing inappropriate student use of these tools. However, the responsibility of defining what constitutes plagiarism or academic dishonesty now falls upon teachers, who are increasingly unable to carry out their duties in safe contexts due to risks of exposure to accusations or suspicions related to AI usage.

Academic Dishonesty and Teacher Autonomy

The article points out that many educators face difficulties evaluating student work when technologies such as artificial intelligence are used. Some institutions have adopted digital tools designed to detect whether a text was generated by a machine, but these solutions do not resolve the ethical or legal dilemmas regarding what should be considered plagiarism or academic fraud.

There is no universally accepted definition of plagiarism in the digital context. Teachers must decide when student work is being created with the help of AI and what impact this has on learning quality. This responsibility has increased significantly over recent decades, especially as new technologies are combined with traditional teaching practices that were not designed to adapt to them.

Institutional Context

The article mentions that some educational institutions have begun implementing internal policies regarding students' use of artificial intelligence. However, these measures remain fragmented and lack a clear or widely accepted international regulatory framework.

There is no available evidence that any education authority has established an official definition of academic fraud in relation to AI. The statements presented are limited to analyses of real situations observed in specific schools, without quantitative data or complete empirical studies.

The text does not specify whether AI detection tools have been validated by independent institutions, nor does it indicate the level of accuracy or fidelity of their results compared to human-written texts. Furthermore, no criticism is mentioned about how these technologies might affect student critical thinking development or their ability to think independently.

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