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Record W3010122067 · doi:10.30722/ijisme.27.09.002

Conceptual understanding of osmosis and diffusion by Australian first-year biology students

2020· article· en· W3010122067 on OpenAlexaboutno aff
Nicole B. Reinke, Mary Kynn, Ann L. Parkinson

Bibliographic record

VenueInternational Journal of Innovation in Science and Mathematics Education · 2020
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsnot available
FundersUniversity of the Sunshine Coast
KeywordsOsmosisMathematics educationCurriculumQuarter (Canadian coin)PsychologyChemistryPedagogyGeographyMembrane

Abstract

fetched live from OpenAlex

Osmosis and diffusion are essential foundation concepts for first-year biology students as they are a key to understanding much of the biology curriculum. However, mastering these concepts can be challenging due to their interdisciplinary and abstract nature. Even at their simplest level, osmosis and diffusion require the learner to imagine processes they cannot see. In addition, many students begin university with flawed beliefs about these two concepts which will impede learning in related areas. The aim of this study was to explore misconceptions around osmosis and diffusion held by first-year cell biology students at an Australian regional university. The 18-item Osmosis and Diffusion Conceptual Assessment was completed by 767 students. From the results, four key misconceptions were identified: approximately half of the participants believed dissolved substances will eventually settle out of a solution; approximately one quarter thought that water will always reach equal levels; one quarter believed that all things expand and contract with temperature; and nearly one third of students believed molecules only move with the addition of external force. Greater attention to identifying and rectifying common misconceptions when teaching first-year students will improve their conceptual understanding of these concepts and benefit their learning in subsequent science subjects.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.032
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0050.008
Scholarly communication0.0100.005
Open science0.0020.006
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.318
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2020
Admission routes1
Has abstractyes

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