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Record W2018277211 · doi:10.1002/tea.10030

Structural characteristics of university engineering students' conceptions of energy*

2002· article· en· W2018277211 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Research in Science Teaching · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsUniversity of ManitobaUniversity of Prince Edward Island
Fundersnot available
KeywordsParagraphMathematics educationEnergy (signal processing)CurriculumPsychologyScience educationPedagogyMathematicsComputer science

Abstract

fetched live from OpenAlex

Abstract This study examined structural characteristics of university engineering students' conceptions of energy elicited through paragraph writing and their relations with categories of their conceptions specific to energy in solution processes identified through interviews. We found that structures of students' conceptions are characterized primarily by characteristic, example‐of/type‐of, and lead‐to types of relations, and these relations correspond with categories of students' conceptions. More specifically, categories of students' conceptions are exclusively related to energy transformation, and students failed to apply the notion of energy conservation demonstrated in structures of their conceptions to explain the temperature change in solution processes. It is concluded that although paragraph writing and interviews solicit different student conceptions, the conceptions identified from the two sources are related and paragraph writing tends to provide a more holistic picture of students' conceptions. This conclusion has clear implications for science curriculum development and instruction. © 2002 Wiley Periodicals, Inc. J Res Sci Teach 39: 423–441, 2002

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.187
GPT teacher head0.490
Teacher spread0.303 · 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