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Impact and application of Generative Artificial Intelligence within Education (2ed. 2024) UNED

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About This Course

With the launch of ChatGPT to the public, in November 2022, educational institutions are starting to feel the seismic impact that new Generative Artificial Intelligence tools could have on maintaining academic integrity and quality control over education. Educators’ emotions have ranged from intrigue and excitement to panic about massive disruption.

This project outlines the basic premise/workings of ChatGPT, etc. However, the main work will be focused on designing a series of discussion forums and a wiki, which we will then use to encourage participants to share their learning and practice. This will help us collaboratively develop guidelines about how higher education staff can adapt to this disruptive technology (e.g. how to evolve assessment towards creative and critical thinking, how to re-orientate current educational and particularly assessment practices, how to get the most out of it, how to create a policy of use, etc.).

This is intended to be a collaborative online space for sharing practice and exemplars and developing good guidance, particularly for those in the IEEE Education Society community.

Course Staff

Coordinator

  • Sergio Martín. Universidad Nacional de Educación a Distancia (UNED)
  • Rebecca Strachan. Northumbria University (UK)

Teaching team

  • Sergio Martín. Universidad Nacional de Educación a Distancia (UNED) (Spain)
  • Manuel Castro. Universidad Nacional de Educación a Distancia (UNED) (Spain)
  • Rebecca Strachan. Northumbria University (UK)
  • Martin Llamas-Nistal. Universidade de Vigo (Spain)
  • Edmundo Tovar. Universidad de Politécnica de Madrid (Spain)
  • Matthew Shardlow. Manchester Metropolitan University (UK)
  • Annabel Latham. Manchester Metropolitan University (UK)
  • Erik Klopfer. Massachusetts Institute of Technology (USA)
  • Safinah Ali. Massachusetts Institute of Technology (USA)
  • Kate Moore. Massachusetts Institute of Technology (USA)
  • Prerna Ravi. Massachusetts Institute of Technology (USA)
  • José Antonio Ruiperez. Universidad de Murcia (Spain) - Massachusetts Institute of Technology (USA)
  • Fien van den Hondel. Minerva University (USA)
  • Arnold Pears. KTH Royal Institute of Technology (Sweden)
  • Russell Meier. Milwaukee School of Engineering (USA)

This course is endorsed by CUED (UNESCO Chair in Distance Education):

Specific objectives

  1. Raise awareness and stimulate debate on the potential implications of AI text generators, such as Chat-GPT, and other AI tools for teaching, learning and assessment in education.
  2. Enable shared best practice, policy and guidance on generative AI tools for teaching, learning and assessment.
  3. Stimulate debate and reflection on how best to prepare students for their future careers and prospectives in light of these AI generative tools, including legal and ethical issues.

Syllabus

  1. Introduction to the course How does the course work? Rules of engagement
  2. Module 1. AI generator tools in education
    1. Introduction to AI text generators: ChatGPT
    2. Introduction to AI image generators: Midjourney and StableDifussion
    3. Other AI generator tools
  3. Module 2. Impact of AI generator tools in teaching and assessment
    1. Advantages of its use in teaching and research tasks
    2. AI anti-plagiarism tools
    3. Evaluation of different assessments
    4. Assessments types that do not work well in AI generator tools
    5. Mitigation strategy for teachers Feedback form for teachers
  4. Module 3. Student centred perspective of generative AI tools
    1. Advantages of its use for students
    2. Drawbacks of its use
    3. ChatGPT as co-pilot in workspace
    4. Equality, diversity and inclusion
    5. Policy of use of AI tools in students’ works
    6. Reflection report and audit trail of queries
    7. Mitigation strategy for students Feedback form for students

Evaluation system

This course has no evaluation system, since it is focused on collaboration and debate.

Recommended prerequisites

  • Basic knowledge of English is recommended. The videos, evaluation form and the supplementary materials will be in English.

Target audience

  • This project is targeted to the whole higher education community. This implies not only educators but also students, since it is not possible to evolve education without listening to them.

Metadata

Generative Artificial Intelligence tools, Artificial Intelligence, AI, ChatGPT, IEEE Education Society, IEEE

  1. Course Number

    ImpactGAI_002
  2. Classes Start

    16 September 2024
  3. Classes End

    28 November 2024
  4. Estimated Effort

    25h
  5. Price Audit

    0€
  6. Price Verified Certificate

    40€
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