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Behind the Scenes: A Critical Perspective on GenAI and Open Educational Practices

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Title: Behind the Scenes: A Critical Perspective on GenAI and Open Educational Practices
Language: English
Authors: Dilara Arzugül Aksoy (ORCID 0000-0003-0666-8362), Engin Kursun (ORCID 0000-0002-5649-8595)
Source: Open Praxis. 2024 16(3):457-470.
Availability: International Council for Open and Distance Education. Lilleakerveien 23, 0283 Oslo, Norway. Tel: +47-22-06-26-30; Fax: +47-22-06-26-31; e-mail: icde@icde.org; Web site: https://openpraxis.org/
Peer Reviewed: Y
Page Count: 14
Publication Date: 2024
Document Type: Journal Articles
Reports - Evaluative
Descriptors: Artificial Intelligence, Technology Uses in Education, Open Education, Educational Practices, Open Educational Resources, Metadata, MOOCs, Feedback (Response), Technology Integration, Access to Education, Students with Disabilities, Assistive Technology, Individualized Instruction, Student Needs, Educational Benefits, Copyrights, Intellectual Property
ISSN: 1369-9997
2304-070X
Abstract: Artificial Intelligence (AI) is a rapidly evolving field that is influencing every aspect of life. Generative AI (GenAI) as a sub-branch of AI is used to create content in various formats such as text, images, video, and audio. This paper discusses the implications of GenAI for Open Educational Practices (OEP), highlighting the potential affordances and challenges. GenAI can address the challenges within the OEP by leveraging openness and ethical use. GenAI's "generative" nature and human-like language capability can provide resources such as course material, activities, examples, questions, assessment, and learning outcomes in the context of OEP. With machine learning and deep learning infrastructure, it can support the discoverability and accessibility of open resources by increasing the metadata quality. GenAI can automatically score student assignments, answer their questions, and provide instant feedback to address the lack of interaction and feedback that arises due to the large number of students, especially in massive open online courses (MOOC). On the other hand, GenAI brings challenges such as data privacy and security, copyright, biased outputs, and the generation of false information. The conclusions emphasize the importance of a nuanced approach that considers not only the advantages but also the risks associated with adopting GenAI in the OEP world. Researching and developing how to apply these technologies to education is important to shape the future of education.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1446967
Database: ERIC
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  Data: Behind the Scenes: A Critical Perspective on GenAI and Open Educational Practices
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  Data: <searchLink fieldCode="AR" term="%22Dilara+Arzugül+Aksoy%22">Dilara Arzugül Aksoy</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-0666-8362">0000-0003-0666-8362</externalLink>)<br /><searchLink fieldCode="AR" term="%22Engin+Kursun%22">Engin Kursun</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-5649-8595">0000-0002-5649-8595</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Open+Praxis%22"><i>Open Praxis</i></searchLink>. 2024 16(3):457-470.
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  Data: International Council for Open and Distance Education. Lilleakerveien 23, 0283 Oslo, Norway. Tel: +47-22-06-26-30; Fax: +47-22-06-26-31; e-mail: icde@icde.org; Web site: https://openpraxis.org/
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  Data: 14
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  Data: Artificial Intelligence (AI) is a rapidly evolving field that is influencing every aspect of life. Generative AI (GenAI) as a sub-branch of AI is used to create content in various formats such as text, images, video, and audio. This paper discusses the implications of GenAI for Open Educational Practices (OEP), highlighting the potential affordances and challenges. GenAI can address the challenges within the OEP by leveraging openness and ethical use. GenAI's "generative" nature and human-like language capability can provide resources such as course material, activities, examples, questions, assessment, and learning outcomes in the context of OEP. With machine learning and deep learning infrastructure, it can support the discoverability and accessibility of open resources by increasing the metadata quality. GenAI can automatically score student assignments, answer their questions, and provide instant feedback to address the lack of interaction and feedback that arises due to the large number of students, especially in massive open online courses (MOOC). On the other hand, GenAI brings challenges such as data privacy and security, copyright, biased outputs, and the generation of false information. The conclusions emphasize the importance of a nuanced approach that considers not only the advantages but also the risks associated with adopting GenAI in the OEP world. Researching and developing how to apply these technologies to education is important to shape the future of education.
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        PageCount: 14
        StartPage: 457
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Open Education
        Type: general
      – SubjectFull: Educational Practices
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      – SubjectFull: Open Educational Resources
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      – SubjectFull: Metadata
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      – SubjectFull: MOOCs
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      – SubjectFull: Feedback (Response)
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      – SubjectFull: Technology Integration
        Type: general
      – SubjectFull: Access to Education
        Type: general
      – SubjectFull: Students with Disabilities
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      – SubjectFull: Assistive Technology
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      – SubjectFull: Individualized Instruction
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      – SubjectFull: Educational Benefits
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      – SubjectFull: Copyrights
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      – SubjectFull: Intellectual Property
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      – TitleFull: Behind the Scenes: A Critical Perspective on GenAI and Open Educational Practices
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