Promoting Creative Thinking and Expression of Science Concepts Among Elementary Teacher Candidates Through Science Content Movie Creation and Showcasing.
Bibliographic record
Abstract
This article reports the phases of design and use of video editing technology as a medium for creatively expressing science content knowledge in an elementary science methods course. Teacher candidates communicated their understanding of standards-based core science concepts through the creation of original digital movies. The movies were assigned as a component of an elementary science methods course to help teacher candidates frame their understandings of science ideas and science content through the medium of movie-making technology. A mixed method analysis of the movie-making process was conducted through open-ended questionnaires and interviews. Results revealed that the project was valuable, as it provided an opportunity for students to think about science concepts from a new and deeper perspective. Further, the movie-making experience included the learning and utilization of iMovie technology, increasing candidate comfort and confidence in using the technology, which candidates reported will carry over to their own classrooms. This study has implications within science methods courses for the relationship between creative expression and core science concepts. Although considerable literature describes the science content knowledge of preservice teachers, less is written on how such information is expressed through creative thinking, development, and construction. The National Research Council (Duschl, Schweingruber, & Shouse, 2007) has recently proposed that K-8 students study core science concepts through a cycle of learning progressions where they are expected to experience the value of communicating and representing their understandings of science ideas. In addition, technology supported experiences for elementary students that promote creativity,
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".