Meaning making through multiple modalities in a biology classroom: A multimodal semiotics discourse analysis
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.
Bibliographic record
Abstract
Abstract The teaching of science is a complex process, involving the use of multiple modalities. This paper illustrates the potential of a multimodal semiotics discourse analysis framework to illuminate meaning‐making possibilities during the teaching of a science concept. A multimodal semiotics analytical framework is developed and used to (1) analyze the semiotic and epistemological meanings communicated by multiple modalities during the teaching of a biology concept and (2) highlight features of semiotic modalities that extend meaning‐making opportunities in science classrooms. The classroom discourse of a Grade 11 biology teacher was analyzed during the teaching of the concept chemosynthesis. Data were drawn from lesson transcripts, observational fieldnotes, and informal interviews with the teacher. The findings showed that the multimodal semiotics framework was useful at illustrating how semiotic and epistemological functions of modalities compounded meanings. Most significantly, an emergent multimodal framework relating semiotic functions and science learning outcomes emerged that has the potential to (1) act as a metacognitive tool for teachers to select, sequence, and scaffold modalities and (2) act as an analytical framework for educational researchers to analyze meaning making in science teaching and learning. © 2009 Wiley Periodicals, Inc. Sci Ed 94: 48–72, 2010
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it