Generative Artificial Intelligence (GenAI) can support teachers in teaching – applications useful to organise content and develop ideas in a conscious way.
The University of Bologna encourages a responsible and conscious use of these tools.
GenAI should enhance critical thinking and personal creativity without replacing them.
The following examples of use cases cover teaching by presenting some of the most widespread applications.
Risk of inaccuracies or errors in the generated information.
Risk of inconsistencies with the subjects of the course.
Check the references for correctness and systematic consistency with the subjects covered.
Critically review the information and check it for reliability in order to correct any errors or inaccuracies.
Include any pre-existing teaching material in the prompt.
Risk that the sources are incomplete or contain errors or obsolete references.
Risk of systematic inconsistency with the subjects covered.
Check that the sources selected by GenAI are complete, correct and reliable because they may include errors or obsolete references.
Make sure that the references are systematically consistent with the subjects covered by the course.
Risk of errors in the sources.
Risk of inconsistencies in the references.
Risk of students' privacy breach and personal data breach.
Risk of wrong suggestions or inappropriate content.
Check the sources for quality and reliability and the references for consistency.
Do not enter students' personal data (name, surname, email, student number) into GenAI platforms that cannot guarantee confidentiality (e.g. GenAI platforms accessible on the Internet).
Check the content for accuracy to avoid errors or inappropriate suggestions.
Risk of wrong information not suitable for the educational context.
Risk of students' privacy breach and personal data breach.
It is recommended that you provide a detailed draft of what the tool should generate.
Ensure that the results are accurate by closely checking and critically reviewing the content.
Make sure that the information is correct and suitable for the educational context.
Do not enter students' personal data (name, surname, email, student number) into GenAI platforms that cannot guarantee confidentiality (e.g. GenAI platforms accessible on the Internet).
Risk of inaccuracies in the generated images.
Risk of students' privacy breach and personal data breach.
Risk of errors in the format of tables and charts.
It is recommended that you keep in mind that, at present, images generated by GenAI may contain inaccurate details.
Do not enter students' personal data (name, surname, email, student number) into GenAI platforms that cannot guarantee confidentiality (e.g. GenAI platforms accessible on the Internet).
Check the results, data, charts and tables for accuracy.
Make sure that the format is correct to avoid distortions or errors that jeopardise the understanding and reliability of the information.
Risk of inaccuracies and inappropriateness for the subjects of the course.
Risk that the generated images infringe privacy rights and copyright.
Risk of students' privacy breach and personal data breach.
It is recommended that you keep in mind that images and videos generated by GenAI may be inaccurate.
Check that the images and videos are relevant, correct and comply with privacy rights and copyright.
Avoid misusing protected content, and protect the persons depicted.
Do not enter students' personal data (name, surname, email, student number) into GenAI platforms that cannot guarantee confidentiality (e.g. GenAI platforms accessible on the Internet).
Check the generated images for appropriateness for the subjects covered by the course and for compliance with the regulations, and edit them manually if necessary.
Risk of language bias in translation which may introduce language or cultural discrimination and harm the rights and principles of inclusion.
Risk of students' privacy breach and personal data breach.
Check that machine translation does not introduce any language bias, especially gender bias, to make sure that the content is gender-neutral and inclusive.
Do not enter students' personal data (name, surname, email, student number) into GenAI platforms that cannot guarantee confidentiality (e.g. GenAI platforms accessible on the Internet).
Risk of language bias in translation which may introduce language or cultural discrimination and harm the rights and principles of inclusion.
Risk of students' privacy breach and personal data breach.
Check that machine translation does not introduce any language bias, especially gender bias, to make sure that the content is gender-neutral and inclusive.
Do not enter students' personal data (name, surname, email, student number) into GenAI platforms that cannot guarantee confidentiality (e.g. GenAI platforms accessible on the Internet).
Risk that the exercises are inconsistent with the learning outcomes and intention.
Risk of copyright infringement.
Split the generation flow into steps:
Check that the generated exercises are relevant and pertinent to the learning outcomes.
Check that the generated exercises are appropriate for the students' level and needs and are consistent with the learning intention.
Make sure that you have specific permission to use any creative work uploaded to the GenAI system to generate the exercises.
Always check the output again and change it as necessary to ensure quality and accuracy.
Risk of students' privacy breach and personal data breach.
Risk of bias and discriminatory content in the generated materials.
It is recommended that you use artificial intelligence models integrated into dedicated teaching support tools, rather than conversational tools based on open-source GenAI platforms available on the Internet.
Check that the created or adapted materials are non-discriminatory and non-stigmatising.
Do not enter students' personal data (name, surname, email, student number) into GenAI platforms that cannot guarantee confidentiality (e.g. GenAI platforms accessible on the Internet).
Make sure that the generated materials do not introduce any bias or discrimination, in order to foster an inclusive and respectful learning environment.
Risk that the quizzes are inconsistent with the learning outcomes.
Risk of copyright infringement of third-party work uploaded to the GenAI system that generates the exercises.
Risk of students' privacy breach and personal data breach.
Follow a structured flow to generate exercises:
Check that the generated quizzes are relevant to and consistent with the learning outcomes.
Check that the questions are in line with the content covered and are suitable to accurately assess knowledge and competencies.
Do not enter students' personal data (name, surname, email, student number) into GenAI platforms that cannot guarantee confidentiality (e.g. GenAI platforms accessible on the Internet).
Make sure that you have specific permission to use any third-party work uploaded to the system, and disclose the source.
Check the output again and change it as necessary to ensure quality and accuracy.
Risk that the questions are inconsistent with the learning outcomes.
Risk of copyright infringement of third-party work uploaded to the GenAI system that generates the exercises.
Risk of students' privacy breach and personal data breach.
Follow a structured flow to generate questions:
Check that the generated questions are relevant and pertinent to the learning outcomes.
Check that the questions are consistent with the content covered and are suitable to accurately assess knowledge and competencies.
Do not enter students' personal data (name, surname, email, student number) into GenAI platforms that cannot guarantee confidentiality (e.g. GenAI platforms accessible on the Internet).
Make sure that you have specific permission to use any creative work uploaded to the system.
Check the output again and change it as necessary to ensure quality and accuracy.
Risk that the questions are inconsistent with the learning outcomes.
Risk of copyright infringement of third-party work uploaded to the GenAI system that generates the exercises.
Risk of students' privacy breach and personal data breach.
Check the generated exercises for accuracy.
Follow a structured flow to generate exercises:
Do not enter students' personal data (name, surname, email, student number) into GenAI platforms that cannot guarantee confidentiality (e.g. GenAI platforms accessible on the Internet).
Make sure that you have specific permission to use any creative work uploaded to the system.
Check the output again and change it as necessary to ensure quality and accuracy.
