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Record W4404142428 · doi:10.1002/tea.22001

Evidence of graphical literacy in students' oral presentations: An example from undergraduate chemistry education

2024· article· en· W4404142428 on OpenAlex
Mikeas Silva de Lima, Lilian Pozzer, Salete Linhares Queiroz

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 · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsUniversity of WinnipegUniversity of Manitoba
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsMathematics educationScience educationScientific literacyLiteracyChemistry educationChemistryPsychologyPedagogy

Abstract

fetched live from OpenAlex

Abstract In the context of scholarly and scientific discourse, students often have to deal with graphic‐visual modes of communication, which requires their ability to comprehend and utilize inscriptions, that is, scientific visual representations, to convey information effectively—what we call graphical literacy. Despite its pivotal role for training scientists and facilitating scientific communication, there is a lack of resources for assessing the graphical literacy of undergraduate students during oral presentations (OPs), a common assignment in post‐secondary educational contexts. This study addresses this gap by investigating the graphical literacy of first‐year chemistry undergraduate students by analyzing the inscriptions they used during multimodal OPs designed to display the resolution of a problem posed through interrupted case studies. Our results are presented as claims that highlight how students' engagement with inscriptions in OPs makes evident their graphical literacy. These findings have significant implications for educators, providing guidance for assessing graphical literacy and the effective use of inscriptions in OPs.

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)0.039
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0390.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.001
Scholarly communication0.0010.004
Open science0.0020.000
Research integrity0.0000.001
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 head0.376
GPT teacher head0.635
Teacher spread0.259 · 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