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Record W1992664030 · doi:10.1021/ed1001625

Student Interpretations of Equations Related to the First Law of Thermodynamics

2010· article· en· W1992664030 on OpenAlexaff
Linda C. Hadfield, Carl Wieman

Bibliographic record

VenueJournal of Chemical Education · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFirst law of thermodynamicsWork (physics)Class (philosophy)Meaning (existential)Laws of thermodynamicsThermodynamicsExpression (computer science)Second law of thermodynamicsNon-equilibrium thermodynamicsMathematics educationMathematicsSociologyChemistryPhysicsEpistemologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Student interpretations of the equation for the first law of thermodynamics, Δ U = q + w, an expression defining work done on or by a gas, w = −∫ P d V, and an expression defining heat, q = ∫ C v d T were investigated through a multiple-choice survey, a free-response written survey, and interviews. The students examined had completed an undergraduate physical chemistry class in which they studied thermodynamics extensively and used these equations frequently to solve problems. The survey and interview results suggest that many students were unable to distinguish the concepts represented in the first law equation from concepts represented in the equations for work and heat. Students expressed a variety of physical interpretations for these fundamental equations. Some common misinterpretations were identified. These results suggest that far more attention needs to be placed on helping students learn the physical meaning of equations in thermodynamics courses.

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)0.007
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.041
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.415
Teacher spread0.393 · 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 designQualitative
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

Citations68
Published2010
Admission routes1
Has abstractyes

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