Data · dataset · 2025
Student Insomnia and Educational Outcomes Dataset
Listed in Teesside University Research Data Repository
This dataset consists of 985 rows (responses) and 16 columns (features), focusing on the relationship between insomnia and its impact on educational outcomes.
Description
It includes self-reported data on sleep patterns, quality, fatigue, stress levels, academic performance, and lifestyle habits. The survey was conducted using Google Forms, ensuring broad accessibility and ease of participation.
Data Collection: The data was collected through an online survey administered via Google Forms in Oct-Nov 2024. Respondents were asked to provide insights into their sleep behaviors and the effects on their academic and daily activities. Key Features: 1.
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Demographics: Year of study and gender. 2. Sleep Patterns: Frequency of difficulty falling asleep, hours of sleep, night awakenings, and overall sleep quality. 3. Cognitive and Academic Effects: Impact on concentration, fatigue, class attendance, assignment completion, and overall academic performance. 4.
Lifestyle Factors: Electronic device usage before sleep, caffeine consumption, and physical activity frequency. 5. Stress Levels: Self-reported stress related to academic workload. This dataset can be used for: 1.
Machine learning analysis to model and predict academic performance based on sleep and lifestyle factors. 2. Statistical studies investigating the connection between sleep disturbances and educational outcomes. 3. Developing behavioral and educational interventions to improve student well-being and performance.
Format: The dataset consists of 16 columns in categorical or ordinal formats. It contains 785 rows with no missing data, making it ready for analytics and machine learning applications.
Links
Where it is published
- DOI doi.org/10.17632/5mvrx4v62z.3 ↗
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
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/5mvrx4v62z.3 | 7 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].anzsrc:field:520102 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Educational Psychology'] |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| 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:psychology-behavioral | 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 |