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Record W4415295255 · doi:10.7202/1119990ar

Bubbleworms and Rogue Planets: Using Science as a Creative Prompt in STEAM Education

2025· article· en· W4415295255 on OpenAlexaboutno aff
Bettina Elisabeth Forget

Bibliographic record

Venue˜The œCanadian art teacher. · 2025
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsnot available
Fundersnot available
KeywordsAlienDisciplineFocus (optics)Extraterrestrial lifeScience educationPerceptionHistory of scienceScientific literacy

Abstract

fetched live from OpenAlex

The Imagine Aliens project invited participants to design alien planets, create extraterrestrial life forms, and develop artworks and stories to bring these worlds to life. By using science as a creative prompt, the study demonstrates that a balanced interplay of art and science can make STEM subjects more accessible and create deeper engagement with both disciplines. Conducted in Montreal schools, Imagine Aliens engaged students aged 6 to 13, using a custom website and playing cards to guide research and boost the creative process. This article highlights two findings: how the science-based prompts challenged and expanded upon students’ perceptions of extraterrestrial life, and how the artworks became a site for research, imagination, and scientific curiosity. Imagine Aliens entangles academic disciplines, allowing each to influence the other equally, placing the learner’s focus on research, curiosity, and imagination, unrestrained by disciplinary boundaries.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.005
Scholarly communication0.0030.002
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.026
GPT teacher head0.367
Teacher spread0.341 · 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 designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

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