Academic Journal
The Sentiments and the Impact of ChatGPT on Computer Programming Learning: Data Mining from Comments on YouTube Videos
| Τίτλος: | The Sentiments and the Impact of ChatGPT on Computer Programming Learning: Data Mining from Comments on YouTube Videos |
|---|---|
| Γλώσσα: | English |
| Συγγραφείς: | Meina Zhu (ORCID |
| Πηγή: | Journal of Computer Assisted Learning. 2025 41(2). |
| Διαθεσιμότητα: | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Peer Reviewed: | Y |
| Page Count: | 14 |
| Ημερομηνία έκδοσης: | 2025 |
| Τύπος εγγράφου: | Journal Articles Reports - Research |
| Descriptors: | Computer Science Education, Programming, Social Media, Video Technology, Data Collection, Computer Mediated Communication, Artificial Intelligence, Synchronous Communication, Computer Software, Individualized Instruction, Technology Uses in Education |
| DOI: | 10.1111/jcal.70013 |
| ISSN: | 0266-4909 1365-2729 |
| Περίληψη: | Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments about ChatGPT's impact on learning and writing computer programming. Methods: The data were collected from 30 November 2022 to 11 January 2024, by extracting 30,773 comments from 57 YouTube videos. Sentiment analysis, topic modelling and thematic analysis were used for data analysis. Results and Conclusions: Through sentiment analysis and thematic analysis, a positive attitude among YouTube self-directed learners towards employing ChatGPT for learning and writing computer programming was identified. The results of topic modelling and thematic analysis revealed that these learners recognise both the perceived advantages and limitations of using ChatGPT for learning and writing computer programming. The advantages include creating learning plans, generating code, self-correction, explaining code and saving programming time, while the limitations are incorrect information, challenges in debugging programmes, perceived inefficiency and ineffectiveness and the absence of intelligence. Diverse perspectives regarding the impact of ChatGPT on programming professions and education were discussed. Some ethical concerns regarding data privacy, code copyright and equity issues were raised and needed further exploration. The findings imply the importance of computer programming education and integrating ChatGPT into programming education. Guidelines and instructions regarding using ChatGPT for programming learning are needed. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Αριθμός Καταχώρησης: | EJ1464369 |
| Βάση Δεδομένων: | ERIC |
| FullText | Links: – Type: other Url: https://resolver.ebsco.com:443/public/rma-ftfapi/ejs/direct?AccessToken=4182B60A397E5A346DD1&Show=Object Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Sentiments and the Impact of ChatGPT on Computer Programming Learning: Data Mining from Comments on YouTube Videos – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Meina+Zhu%22">Meina Zhu</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-5901-9924">0000-0002-5901-9924</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Journal+of+Computer+Assisted+Learning%22"><i>Journal of Computer Assisted Learning</i></searchLink>. 2025 41(2). – Name: Avail Label: Availability Group: Avail Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 14 – Name: DatePubCY Label: Publication Date Group: Date Data: 2025 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+Science+Education%22">Computer Science Education</searchLink><br /><searchLink fieldCode="DE" term="%22Programming%22">Programming</searchLink><br /><searchLink fieldCode="DE" term="%22Social+Media%22">Social Media</searchLink><br /><searchLink fieldCode="DE" term="%22Video+Technology%22">Video Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Collection%22">Data Collection</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Mediated+Communication%22">Computer Mediated Communication</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Synchronous+Communication%22">Synchronous Communication</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software%22">Computer Software</searchLink><br /><searchLink fieldCode="DE" term="%22Individualized+Instruction%22">Individualized Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink> – Name: DOI Label: DOI Group: ID Data: 10.1111/jcal.70013 – Name: ISSN Label: ISSN Group: ISSN Data: 0266-4909<br />1365-2729 – Name: Abstract Label: Abstract Group: Ab Data: Background: Computer programming learning and education play a critical role in preparing a workforce equipped with the necessary skills for diverse fields. ChatGPT and YouTube are technologies that support self-directed programming learning. Objectives: This study aims to examine the sentiments and primary topics discussed in YouTube comments about ChatGPT's impact on learning and writing computer programming. Methods: The data were collected from 30 November 2022 to 11 January 2024, by extracting 30,773 comments from 57 YouTube videos. Sentiment analysis, topic modelling and thematic analysis were used for data analysis. Results and Conclusions: Through sentiment analysis and thematic analysis, a positive attitude among YouTube self-directed learners towards employing ChatGPT for learning and writing computer programming was identified. The results of topic modelling and thematic analysis revealed that these learners recognise both the perceived advantages and limitations of using ChatGPT for learning and writing computer programming. The advantages include creating learning plans, generating code, self-correction, explaining code and saving programming time, while the limitations are incorrect information, challenges in debugging programmes, perceived inefficiency and ineffectiveness and the absence of intelligence. Diverse perspectives regarding the impact of ChatGPT on programming professions and education were discussed. Some ethical concerns regarding data privacy, code copyright and equity issues were raised and needed further exploration. The findings imply the importance of computer programming education and integrating ChatGPT into programming education. Guidelines and instructions regarding using ChatGPT for programming learning are needed. – 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: EJ1464369 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1464369 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/jcal.70013 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 14 Subjects: – SubjectFull: Computer Science Education Type: general – SubjectFull: Programming Type: general – SubjectFull: Social Media Type: general – SubjectFull: Video Technology Type: general – SubjectFull: Data Collection Type: general – SubjectFull: Computer Mediated Communication Type: general – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Synchronous Communication Type: general – SubjectFull: Computer Software Type: general – SubjectFull: Individualized Instruction Type: general – SubjectFull: Technology Uses in Education Type: general Titles: – TitleFull: The Sentiments and the Impact of ChatGPT on Computer Programming Learning: Data Mining from Comments on YouTube Videos Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Meina Zhu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 0266-4909 – Type: issn-electronic Value: 1365-2729 Numbering: – Type: volume Value: 41 – Type: issue Value: 2 Titles: – TitleFull: Journal of Computer Assisted Learning Type: main |
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