Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT
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| Title: | Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT |
|---|---|
| Language: | English |
| Authors: | Lingfei Luan (ORCID |
| Source: | Asian Journal of Distance Education. 2024 19(2):1-10. |
| Availability: | Asian Society of Open and Distance Education. 80-4 Minou Yamamoto Machi, Kurume City, Fukuoka, 839-0826, Japan. e-mail: editor@asianjde.org; Web site: http://asianjde.com/ojs/index.php/AsianJDE |
| Peer Reviewed: | Y |
| Page Count: | 10 |
| Publication Date: | 2024 |
| Document Type: | Journal Articles Reports - Evaluative |
| Descriptors: | COVID-19, Pandemics, Artificial Intelligence, Computer Software, Synchronous Communication, Cognitive Processes, Psychological Patterns, Influence of Technology, Student Centered Learning, Technology Uses in Education, Individualized Instruction, Man Machine Systems, Educational Technology |
| ISSN: | 1347-9008 |
| Abstract: | The emergence of ChatGPT, an AI system designed for conversation by OpenAI, has prompted conversations about its transformative possibilities in multiple fields, primarily in education. This study conducts an in-depth investigation into the emotional and cognitive factors contributing to the popularity of ChatGPT and its influence on the shift towards a technology-driven, student-centered educational paradigm known as Learning 3.0. This study examines how ChatGPT accomplishes functional needs through human-AI interaction, such as effective task performance and social and emotional demands. This is achieved by integrating theories like the Computers Are Social Actors (CASA) paradigm, Relationships Motivation Theory, and Technology Acceptance Model (TAM). The study claims that personal AI trainers like ChatGPT could reinforce self-regulated learning strategies, responding to an increasing need for remote education due to the COVID-19 pandemic. This paper establishes ChatGPT as a personification of the concepts of 3.0 learning, which center on advancing abilities, customization, and customization using technological advancement to create study experiences suited to the student's needs. While acknowledging limitations in the concept and the need to produce statistical facts through research, the researchers underline its potential for transforming education systems and enhancing human understanding. In addition, this paper brings up important ethical issues that must be considered for generative AI technologies to be widely used in education and academia. Educators must choose how to achieve an appropriate balance: leveraging technology to enhance learning while safeguarding the students they teach from potential risks. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1459180 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1459180 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: EJ1459180 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lingfei+Luan%22">Lingfei Luan</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-8574-6578">0000-0002-8574-6578</externalLink>)<br /><searchLink fieldCode="AR" term="%22Xi+Lin%22">Xi Lin</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-2387-4117">0000-0003-2387-4117</externalLink>)<br /><searchLink fieldCode="AR" term="%22Yan+Dai%22">Yan Dai</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-1170-7776">0000-0003-1170-7776</externalLink>)<br /><searchLink fieldCode="AR" term="%22Shu+Hu%22">Shu Hu</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-7268-901X">0000-0001-7268-901X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Qianlu+Sun%22">Qianlu Sun</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0002-9906-8162">0009-0002-9906-8162</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Asian+Journal+of+Distance+Education%22"><i>Asian Journal of Distance Education</i></searchLink>. 2024 19(2):1-10. – Name: Avail Label: Availability Group: Avail Data: Asian Society of Open and Distance Education. 80-4 Minou Yamamoto Machi, Kurume City, Fukuoka, 839-0826, Japan. e-mail: editor@asianjde.org; Web site: http://asianjde.com/ojs/index.php/AsianJDE – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 10 – Name: DatePubCY Label: Publication Date Group: Date Data: 2024 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Evaluative – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22COVID-19%22">COVID-19</searchLink><br /><searchLink fieldCode="DE" term="%22Pandemics%22">Pandemics</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software%22">Computer Software</searchLink><br /><searchLink fieldCode="DE" term="%22Synchronous+Communication%22">Synchronous Communication</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+Processes%22">Cognitive Processes</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+Patterns%22">Psychological Patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Influence+of+Technology%22">Influence of Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Centered+Learning%22">Student Centered Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Individualized+Instruction%22">Individualized Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Man+Machine+Systems%22">Man Machine Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Technology%22">Educational Technology</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 1347-9008 – Name: Abstract Label: Abstract Group: Ab Data: The emergence of ChatGPT, an AI system designed for conversation by OpenAI, has prompted conversations about its transformative possibilities in multiple fields, primarily in education. This study conducts an in-depth investigation into the emotional and cognitive factors contributing to the popularity of ChatGPT and its influence on the shift towards a technology-driven, student-centered educational paradigm known as Learning 3.0. This study examines how ChatGPT accomplishes functional needs through human-AI interaction, such as effective task performance and social and emotional demands. This is achieved by integrating theories like the Computers Are Social Actors (CASA) paradigm, Relationships Motivation Theory, and Technology Acceptance Model (TAM). The study claims that personal AI trainers like ChatGPT could reinforce self-regulated learning strategies, responding to an increasing need for remote education due to the COVID-19 pandemic. This paper establishes ChatGPT as a personification of the concepts of 3.0 learning, which center on advancing abilities, customization, and customization using technological advancement to create study experiences suited to the student's needs. While acknowledging limitations in the concept and the need to produce statistical facts through research, the researchers underline its potential for transforming education systems and enhancing human understanding. In addition, this paper brings up important ethical issues that must be considered for generative AI technologies to be widely used in education and academia. Educators must choose how to achieve an appropriate balance: leveraging technology to enhance learning while safeguarding the students they teach from potential risks. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2025 – Name: AN Label: Accession Number Group: ID Data: EJ1459180 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1459180 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Subjects: – SubjectFull: COVID-19 Type: general – SubjectFull: Pandemics Type: general – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Computer Software Type: general – SubjectFull: Synchronous Communication Type: general – SubjectFull: Cognitive Processes Type: general – SubjectFull: Psychological Patterns Type: general – SubjectFull: Influence of Technology Type: general – SubjectFull: Student Centered Learning Type: general – SubjectFull: Technology Uses in Education Type: general – SubjectFull: Individualized Instruction Type: general – SubjectFull: Man Machine Systems Type: general – SubjectFull: Educational Technology Type: general Titles: – TitleFull: Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lingfei Luan – PersonEntity: Name: NameFull: Xi Lin – PersonEntity: Name: NameFull: Yan Dai – PersonEntity: Name: NameFull: Shu Hu – PersonEntity: Name: NameFull: Qianlu Sun IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 1347-9008 Numbering: – Type: volume Value: 19 – Type: issue Value: 2 Titles: – TitleFull: Asian Journal of Distance Education Type: main |
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