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Success Factors of E-Assessment in Computer Science for Higher Education: Perspectives from Instructors

Success Factors of E-Assessment in Computer Science for Higher Education: Perspectives from Instructors
Success Factors of E-Assessment in Computer Science for Higher Education: Perspectives from Instructors
This dataset contains anonymised survey responses (CSV) and interview transcripts (PDF) collected from computer science instructors in the UK and Saudi Arabia between April 2024 and July 2024. The data support the doctoral thesis “Success Factors of E-Assessment in Computer Science for Higher Education: Perspectives from Instructors” (University of Southampton, 2025). Interviews offer in-depth qualitative perspectives on success factors, in terms of practical and pedagogical influences. while the the survey provides quantitative insights into adoption factors and practical challenges, Together, the dataset underpins analyses of e-assessment adoption, contextual variability, and the impact of digital assessment tools on coding education.
University of Southampton
Alamr, Safiah Mohammed
da35a8d0-d11b-46fd-95f9-81762360b650
Leon Urrutia, Manuel
4c9d6ced-5e35-4f09-827b-c2e4c702df3c
Carr, Leslie
0572b10e-039d-46c6-bf05-57cce71d3936
Alamr, Safiah Mohammed
da35a8d0-d11b-46fd-95f9-81762360b650
Leon Urrutia, Manuel
4c9d6ced-5e35-4f09-827b-c2e4c702df3c
Carr, Leslie
0572b10e-039d-46c6-bf05-57cce71d3936

Alamr, Safiah Mohammed, Leon Urrutia, Manuel and Carr, Leslie (2025) Success Factors of E-Assessment in Computer Science for Higher Education: Perspectives from Instructors. University of Southampton doi:10.5258/SOTON/D2607 [Dataset]

Record type: Dataset

Abstract

This dataset contains anonymised survey responses (CSV) and interview transcripts (PDF) collected from computer science instructors in the UK and Saudi Arabia between April 2024 and July 2024. The data support the doctoral thesis “Success Factors of E-Assessment in Computer Science for Higher Education: Perspectives from Instructors” (University of Southampton, 2025). Interviews offer in-depth qualitative perspectives on success factors, in terms of practical and pedagogical influences. while the the survey provides quantitative insights into adoption factors and practical challenges, Together, the dataset underpins analyses of e-assessment adoption, contextual variability, and the impact of digital assessment tools on coding education.

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E-assessment_Survey_year_3.csv - Dataset
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Pure_interviews_data.pdf - Dataset
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README_SOTOND6207.txt - Dataset
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More information

Published date: 4 September 2025
Learn more about School of Electronics and Computer Science research Learn more about Web and Internet Science research

Identifiers

Local EPrints ID: 504321
URI: http://eprints.soton.ac.uk/id/eprint/504321
DOI: doi:10.5258/SOTON/D2607
PURE UUID: 2fbe138c-3774-4bcc-98b7-e8cf8f14053c
ORCID for Manuel Leon Urrutia: ORCID iD orcid.org/0000-0002-6358-7617
ORCID for Leslie Carr: ORCID iD orcid.org/0000-0002-2113-9680

Catalogue record

Date deposited: 04 Sep 2025 16:38
Last modified: 05 Sep 2025 01:43

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Contributors

Creator: Safiah Mohammed Alamr
Creator: Manuel Leon Urrutia ORCID iD
Creator: Leslie Carr ORCID iD

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