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Record W3029601944 · doi:10.1186/s12052-020-00127-7

Teaching natural selection in early elementary classrooms: can a storybook intervention reduce teleological misunderstandings?

2020· article· en· W3029601944 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

VenueEvolution Education and Outreach · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicEvolution and Science Education
Canadian institutionsAmorfix (Canada)
FundersUniversity of PittsburghNational Science Foundation
KeywordsTeleologyPsychologySociology of EducationNatural selectionMechanism (biology)Intervention (counseling)Selection (genetic algorithm)Natural (archaeology)Science educationEpistemologyCognitive psychologyMathematics educationPedagogyComputer scienceBiologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract Background Despite the importance of understanding the mechanism of natural selection for both academic success and everyday decision-making, this concept is one of the most challenging to learn in contemporary science. In addition to cumulative socio-cultural influences, intuitive cognitive biases such as the teleological bias—the early developing tendency to explain phenomena in terms of function or purpose—contribute to the difficulty of accurate learning when the process is taught in high school or later. In this work, we therefore investigate—for the first time—the viability of a teacher-led classroom-based storybook intervention for teaching natural selection in early elementary school. The intervention was designed to counteract teleological explanations of adaptation. In consequence, we specifically examined the nature and extent of elementary school children’s teleological reasoning about biological trait change before and after this intervention. Results Second and third grade students demonstrated a variety of misunderstandings at pretest, including teleological preconceptions. Most of these teleological ideas were explicitly accompanied by incorrect mechanistic ideas, confirming that the teleological reasoning observed in this young sample reflected fundamental misunderstandings of adaptation as a goal-directed event. Overall, learning from the classroom intervention was substantial, with students performing significantly better on all measures of natural selection understanding at posttest. Interestingly, explicit teleological reasoning displayed at the pretest did not have a differentially greater impact on learning than other kinds of marked pretest misunderstandings. One explanation for this might be that children displaying teleological misunderstandings at pretest also tended to demonstrate more biological factual knowledge than other students. Another explanation might be that pretest misunderstandings that were not overtly teleological were, nevertheless, implicitly teleological due to the nature of the mechanisms that they referenced. The differential impact of teleological preconceptions on learning might therefore have been underestimated. Conclusions In summary, early elementary school children show substantial abilities to accurately learn natural selection from a limited but scalable classroom-based storybook intervention. While children often display explicit teleological preconceptions, it is unclear whether these ideas represent greater impediments to learning about adaptation than other substantial misunderstandings. Reasons for this, and limitations of the present research, are discussed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.279
Teacher spread0.243 · 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