Data · dataset · 2026
SBL-AR effectiveness dataset: cognitive skills in vocational college electronics
Listed in Teesside University Research Data Repository
De-identified data from a matched-pair cluster study of a simulation-based learning module delivered through mobile augmented reality (SBL-AR) in the first-semester course DEB1113 Introduction to Electronics of the Malaysian Vocational Diploma (Electronics Technology).
Description
Four Vocational Colleges in Peninsular Malaysia formed two pairs matched on students' entry grades; within each pair one college was randomly assigned to SBL-AR (n = 51) and the other continued with conventional instruction (n = 50).
A 30-item, four-option test measured conceptual understanding, circuit analysis and diagnostic reasoning before instruction and four weeks after the intervention; data were collected in the second half of 2025. The dataset contains total and sub-scale scores, item-level responses, the pilot calibration responses with the Winsteps output, an SPSS output extract and two Python scripts that recompute the statistics reported in the associated article and print PASS or FAIL for each (78 and 125 checks).
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The study was approved by the Ministry of Education Malaysia (eRAS reference KPM.600-3/2/3-eras(24933)); all participants gave written informed consent. Version 2 adds reproduce_sensitivity_analyses.py and an updated README_data_dictionary.md; the verification reports included in version 1 are replaced by the two scripts. See README_data_dictionary.md for the codebook, file list and instructions.
Links
Where it is published
- DOI doi.org/10.17632/296zf2tgdp.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Social Science
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/296zf2tgdp.2 | 8 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |