Transcription in Computing Education Research: A Review and Recommendations
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| Title: | Transcription in Computing Education Research: A Review and Recommendations |
|---|---|
| Language: | English |
| Authors: | Lutz Terfloth, Vivien Lohmer, Friederike Kern, Carsten Schulte |
| Source: | Informatics in Education. 2025 24(2):377-405. |
| Availability: | Vilnius University Institute of Mathematics and Informatics, Lithuanian Academy of Sciences. Akademjos str. 4, Vilnius LT 08663 Lithuania. Tel: +37-5-21-09300; Fax: +37-5-27-29209; e-mail: info@mii.vu.lt; Web site: https://infedu.vu.lt/journal/INFEDU |
| Peer Reviewed: | Y |
| Page Count: | 29 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Information Analyses |
| Descriptors: | Phonetic Transcription, Computer Science Education, Educational Research, Credibility, Bias, Accountability, Standards, Trust (Psychology), Audits (Verification), Transcripts (Written Records) |
| ISSN: | 1648-5831 2335-8971 |
| Abstract: | Transcripts play a crucial role in qualitative research in computing education, with significant implications for the credibility and reproducibility of findings. However, unreflective and inconsistent transcription standards may unintentionally introduce biases, potentially undermining the validity of research outcomes and the collective progress of the field. In this article, we introduce transcription as a theoretically guided process rather than a mere preparatory step, illustrating its role using a case example. Additionally, through a systematic review of 107 qualitative research articles in computing education, we identify widespread shortcomings in the reporting and implementation of transcription practices, revealing a need for greater intentionality and transparency. To address these challenges, we propose a three-step framework for selecting, applying, and documenting transcription standards that align with the specific context and goals of a study. Rather than advocating for overly complex, one-size-fits-all transcription strategies, we emphasize the importance of a context-appropriate approach that is clearly communicated to foster trust and reproducibility. By advancing a more robust transcription culture, this work aims to support computing education researchers in adopting standards that enhance the quality and reliability of qualitative research in the field. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1477409 |
| Database: | ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: Transcription in Computing Education Research: A Review and Recommendations – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lutz+Terfloth%22">Lutz Terfloth</searchLink><br /><searchLink fieldCode="AR" term="%22Vivien+Lohmer%22">Vivien Lohmer</searchLink><br /><searchLink fieldCode="AR" term="%22Friederike+Kern%22">Friederike Kern</searchLink><br /><searchLink fieldCode="AR" term="%22Carsten+Schulte%22">Carsten Schulte</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Informatics+in+Education%22"><i>Informatics in Education</i></searchLink>. 2025 24(2):377-405. – Name: Avail Label: Availability Group: Avail Data: Vilnius University Institute of Mathematics and Informatics, Lithuanian Academy of Sciences. Akademjos str. 4, Vilnius LT 08663 Lithuania. Tel: +37-5-21-09300; Fax: +37-5-27-29209; e-mail: info@mii.vu.lt; Web site: https://infedu.vu.lt/journal/INFEDU – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 29 – Name: DatePubCY Label: Publication Date Group: Date Data: 2025 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Information Analyses – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Phonetic+Transcription%22">Phonetic Transcription</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Science+Education%22">Computer Science Education</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Research%22">Educational Research</searchLink><br /><searchLink fieldCode="DE" term="%22Credibility%22">Credibility</searchLink><br /><searchLink fieldCode="DE" term="%22Bias%22">Bias</searchLink><br /><searchLink fieldCode="DE" term="%22Accountability%22">Accountability</searchLink><br /><searchLink fieldCode="DE" term="%22Standards%22">Standards</searchLink><br /><searchLink fieldCode="DE" term="%22Trust+%28Psychology%29%22">Trust (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Audits+%28Verification%29%22">Audits (Verification)</searchLink><br /><searchLink fieldCode="DE" term="%22Transcripts+%28Written+Records%29%22">Transcripts (Written Records)</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 1648-5831<br />2335-8971 – Name: Abstract Label: Abstract Group: Ab Data: Transcripts play a crucial role in qualitative research in computing education, with significant implications for the credibility and reproducibility of findings. However, unreflective and inconsistent transcription standards may unintentionally introduce biases, potentially undermining the validity of research outcomes and the collective progress of the field. In this article, we introduce transcription as a theoretically guided process rather than a mere preparatory step, illustrating its role using a case example. Additionally, through a systematic review of 107 qualitative research articles in computing education, we identify widespread shortcomings in the reporting and implementation of transcription practices, revealing a need for greater intentionality and transparency. To address these challenges, we propose a three-step framework for selecting, applying, and documenting transcription standards that align with the specific context and goals of a study. Rather than advocating for overly complex, one-size-fits-all transcription strategies, we emphasize the importance of a context-appropriate approach that is clearly communicated to foster trust and reproducibility. By advancing a more robust transcription culture, this work aims to support computing education researchers in adopting standards that enhance the quality and reliability of qualitative research in the field. – 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: EJ1477409 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 29 StartPage: 377 Subjects: – SubjectFull: Phonetic Transcription Type: general – SubjectFull: Computer Science Education Type: general – SubjectFull: Educational Research Type: general – SubjectFull: Credibility Type: general – SubjectFull: Bias Type: general – SubjectFull: Accountability Type: general – SubjectFull: Standards Type: general – SubjectFull: Trust (Psychology) Type: general – SubjectFull: Audits (Verification) Type: general – SubjectFull: Transcripts (Written Records) Type: general Titles: – TitleFull: Transcription in Computing Education Research: A Review and Recommendations Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lutz Terfloth – PersonEntity: Name: NameFull: Vivien Lohmer – PersonEntity: Name: NameFull: Friederike Kern – PersonEntity: Name: NameFull: Carsten Schulte IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1648-5831 – Type: issn-electronic Value: 2335-8971 Numbering: – Type: volume Value: 24 – Type: issue Value: 2 Titles: – TitleFull: Informatics in Education Type: main |
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