Using Artificial Intelligence in Digital Video Production: A Systematic Review Study
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| Title: | Using Artificial Intelligence in Digital Video Production: A Systematic Review Study |
|---|---|
| Language: | English |
| Authors: | Cihan Orak, Zeynep Turan |
| Source: | Journal of Educational Technology and Online Learning. 2024 7(3):286-307. |
| Availability: | Journal of Educational Technology and Online Learning. Necatibey Faculty of Education, Balikesir University, Balikesir, 10100, Turkey. Web site: https://dergipark.org.tr/en/pub/jetol |
| Peer Reviewed: | Y |
| Page Count: | 22 |
| Publication Date: | 2024 |
| Document Type: | Journal Articles Information Analyses |
| Descriptors: | Artificial Intelligence, Video Technology, Literature Reviews, Trend Analysis, Ethics, Man Machine Systems, Instructional Films, Technology Uses in Education |
| ISSN: | 2618-6586 |
| Abstract: | Advancements in artificial intelligence (AI) have tailored computer systems to meet user needs, thereby enhancing user experience. The application of AI technology in the production of digital videos, particularly in education, is becoming increasingly prevalent. This study aims to explore trends in the use of AI technology for digital video production. To achieve this, a systematic literature review was conducted across the Web of Science, ERIC, Taylor & Francis, Education Full Text EBSCO, and ScienceDirect databases. Studies were selected following the PRISMA flowchart, adhering to inclusion criteria aligned with the study's objectives. Consequently, 21 international studies were analyzed. The findings indicate that AI supports the creation of diverse digital content, which can serve various purposes such as general guidance, knowledge reinforcement, design and experimentation, and personalized experiences. However, it appears that AI's full potential has not yet been efficiently harnessed. Therefore, it is recommended that future research focus on developing digital content that caters to individual differences, enhances social interaction, includes enriched features, and is adaptable to various environments. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| Accession Number: | EJ1445713 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1445713 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: Using Artificial Intelligence in Digital Video Production: A Systematic Review Study – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Cihan+Orak%22">Cihan Orak</searchLink><br /><searchLink fieldCode="AR" term="%22Zeynep+Turan%22">Zeynep Turan</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Journal+of+Educational+Technology+and+Online+Learning%22"><i>Journal of Educational Technology and Online Learning</i></searchLink>. 2024 7(3):286-307. – Name: Avail Label: Availability Group: Avail Data: Journal of Educational Technology and Online Learning. Necatibey Faculty of Education, Balikesir University, Balikesir, 10100, Turkey. Web site: https://dergipark.org.tr/en/pub/jetol – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 22 – Name: DatePubCY Label: Publication Date Group: Date Data: 2024 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Information Analyses – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Video+Technology%22">Video Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Literature+Reviews%22">Literature Reviews</searchLink><br /><searchLink fieldCode="DE" term="%22Trend+Analysis%22">Trend Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Ethics%22">Ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Man+Machine+Systems%22">Man Machine Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Films%22">Instructional Films</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 2618-6586 – Name: Abstract Label: Abstract Group: Ab Data: Advancements in artificial intelligence (AI) have tailored computer systems to meet user needs, thereby enhancing user experience. The application of AI technology in the production of digital videos, particularly in education, is becoming increasingly prevalent. This study aims to explore trends in the use of AI technology for digital video production. To achieve this, a systematic literature review was conducted across the Web of Science, ERIC, Taylor & Francis, Education Full Text EBSCO, and ScienceDirect databases. Studies were selected following the PRISMA flowchart, adhering to inclusion criteria aligned with the study's objectives. Consequently, 21 international studies were analyzed. The findings indicate that AI supports the creation of diverse digital content, which can serve various purposes such as general guidance, knowledge reinforcement, design and experimentation, and personalized experiences. However, it appears that AI's full potential has not yet been efficiently harnessed. Therefore, it is recommended that future research focus on developing digital content that caters to individual differences, enhances social interaction, includes enriched features, and is adaptable to various environments. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2024 – Name: AN Label: Accession Number Group: ID Data: EJ1445713 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 286 Subjects: – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Video Technology Type: general – SubjectFull: Literature Reviews Type: general – SubjectFull: Trend Analysis Type: general – SubjectFull: Ethics Type: general – SubjectFull: Man Machine Systems Type: general – SubjectFull: Instructional Films Type: general – SubjectFull: Technology Uses in Education Type: general Titles: – TitleFull: Using Artificial Intelligence in Digital Video Production: A Systematic Review Study Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cihan Orak – PersonEntity: Name: NameFull: Zeynep Turan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 2618-6586 Numbering: – Type: volume Value: 7 – Type: issue Value: 3 Titles: – TitleFull: Journal of Educational Technology and Online Learning Type: main |
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