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Record W283323811

Assessing The Impact Of Native American Elders As Co-Educators For University Students In Stem

2015· article· en· W283323811 on OpenAlexaboutno aff
Sarah O. Alkholy

Bibliographic record

VenueDigitalCommons - WayneState (Wayne State University) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsGerontologyPedagogyMathematics educationMedical educationPsychologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Minorities are underrepresented in the science, technology, engineering, and mathematics (STEM) workforce, post-secondary STEM education, and show high academic attrition rates. Academic performance and retention improve when culturally relevant support is provided. The interface of Western Science and Indigenous Science provides an opportunity for bridging this divide. This three parts project is an example of Community-based participatory research (CBPR) that aims to support academic institutions that serve minority students in STEM, and implement educational components (pedagogy) to serve the needs of the underserved community. Method: Part 1: was a cross-sectional used a survey given to participants designed to assess prevalence of natural health products use by students, and to determine how students learn about NHPs. Part 2: was a longitudinal survey pilot study based upon an online STEM course offer at four universities to determine the differences between U.S. vs. Canadian and minority vs. non-minority university students regarding their perceptions of traditional Elders as STEM co-educators, interest in STEM, and science identity by using a pre-and post- course survey. Part 3: was a longitudinal quasi-experiment based upon an online STEM course offered at four universities show what Indigenous science claims regarding: Elders are viewed as valuable STEM co-educators; Elders increase student interest in STEM; students exposed to Indigenous science improve their identity as a scientist; students exposed to Indigenous Science/Elders show improved learning outcomes. Result: We found that Native/Aboriginal students learn information about natural health products from traditional Elders significantly more so than non-Native/Aboriginal students. There were no statistically significant results from the pilot study. Findings from the quasi-experiment show that students taught with Indigenous science Elder co-educators have significantly greater interest in STEM than students not exposed to Elders' teachings. Minority students reported significantly less self-identification as a scientist than did White students at pre-course, but report similar identity as a scientist to White students post-course. Discussion: Future work should investigate the role of Elder traditional educators to convey NHPs information directed specifically to Aboriginal university students. We expect that Elder co-educators may then impact student science identity and interest in STEM. We expect that Elder co-educators may then impact student science identity and interest in STEM. Although there were no statistically significant results from the pilot study, the observed trends suggest that Indigenous science Elder educators merit involvement in novel pedagogical approaches and delivery modalities to reach minority students and to increase students' interest in STEM. From quasi-experiment we attribute these findings to the impact of culturally competent course content to minority students especially, in a post-secondary STEM class. This work establishes the need for convergence of Indigenous science and Western STEM in academia.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.076
GPT teacher head0.410
Teacher spread0.334 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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