Table · dataset · 2026
Data Sheet 2_Stochastic dynamics of oxygen-hemoglobin binding: insight through facilitated exploration of an agent-based model.zip
Listed in ZivaHub and Deakin Research Online and DMU Figshare and HKU DataHub and Swinburne Figshare and DaYta Ya Rona and SUNScholarData and figshare and Loughborough Research Repository and GRANTS Data and UP Research Data Repository — shown once because both records carry DOI 10.3389/fphys.2026.1953414.s001
Background<p>Understanding oxygen–hemoglobin binding is fundamental to physiology and clinical practice.
Description
However, most students have an exclusively deterministic view of oxygen transport, including the misconception that hemoglobin simply loads oxygen in the lungs and unloads it at the tissues. Developing a conceptual understanding requires appreciation of stochastic molecular interactions, dynamic equilibrium, and population-level averaging of microstates, concepts that are abstract, difficult to grasp, and not typically taught in medical physiology courses.</p>Methods<p>In this mixed methods study, we developed an agent-based model (ABM) in NetLogo to visualize oxygen–hemoglobin binding as a stochastic process.
Based on a published quantitative model describing the distribution of hemoglobin bound states as a function of PO<sub>2</sub>, the ABM allows users to explore the effect of changing PO<sub>2</sub> and hemoglobin number while observing stochastic changes in molecular states. Thirty-one second-year medical students participated in a facilitated computer laboratory session and completed pre- and post-intervention quizzes comprising 18 true/false questions.
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Quantitative data were analyzed using the McNemar test and a paired-samples t-test. Eight days after the facilitated session and quiz completion, four focus groups comprising 28 participants were conducted, and the focus group transcripts underwent inductive and deductive thematic analysis to identify common themes.</p>Results<p>The ABM reproduced the expected oxyhemoglobin equilibrium curve and demonstrated stochastic fluctuations that diminished with increasing numbers of hemoglobin molecules.
Quantitative analysis showed that performance improved on all 18 quiz items, with 11 showing statistically significant gains. Mean scores increased from 54.1% to 83.2% (mean difference 29.0%; t(30)=8.7, p=10<sup>-9</sup>; d<sub>z</sub>=1.56). Qualitative analysis identified three themes: knowledge construction through active exploration, affective responses associated with intellectual engagement, and mechanistic understanding of oxygen-hemoglobin binding.
Findings demonstrated that participants replaced static mental models with an understanding of stochastic oxygen binding and recognized oxygen saturation as a population average rather than the behavior of individual hemoglobin molecules.</p>Conclusion<p>Facilitated agent-based modeling substantially improved conceptual understanding of oxygen–hemoglobin binding. By interactively exploring stochastic molecular dynamics, the intervention promoted active learning, corrected persistent misconceptions, and may provide a transferable framework for understanding emergent physiological phenomena.</p>
Links
Where it is published
- DOI doi.org/10.3389/fphys.2026.1953414.s001 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Chemistry · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Engineering · Engineering · Humanities · Humanities · Humanities · Humanities · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Psychology & Behavioral Science · Social Science · Social Science · Social Science · Social Science
- Inferred from text
- Biochemistry and cell biology 74%
Provenance · 11 source records, 46 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34046442 | 11 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34046442 | 11 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34046442 | 11 d ago | JSON v1 |
| HKU DataHub | oai:figshare.com:article/34046442 | 11 d ago | JSON v1 |
| Swinburne Figshare | oai:figshare.com:article/34046442 | 11 d ago | JSON v1 |
| DaYta Ya Rona | oai:figshare.com:article/34046442 | 11 d ago | JSON v1 |
| SUNScholarData | oai:figshare.com:article/34046442 | 11 d ago | JSON v1 |
| figshare | oai:figshare.com:article/34046442 | 10 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/34046442 | 10 d ago | JSON v1 |
| GRANTS Data | oai:figshare.com:article/34046442 | 10 d ago | JSON v1 |
| UP Research Data Repository | oai:figshare.com:article/34046442 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:group:3101 | enrichment · zivahub uct ac za | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare swinburne edu au | connector:figshare_swinburne_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scholardata sun ac za | connector:scholardata_sun_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · grantsdata jst go jp | connector:grantsdata_jst_go_jp@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |