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Record W4206644039 · doi:10.46328/ijte.119

STEM, iSTEM, and STEAM: What is next?

2022· article· en· W4206644039 on OpenAlexaffabout
Atiya Razi, George Zhou

Bibliographic record

VenueInternational Journal of Technology in Education · 2022
Typearticle
Languageen
FieldComputer Science
TopicEducational Research and Pedagogy
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsCurriculumPoliticsAmbiguityEngineering ethicsPolitical sciencePublic relationsPedagogySociologyEngineeringComputer science

Abstract

fetched live from OpenAlex

The historical and political emergence of STEM has changed the educational paradigm. Researchers, educators, and frontline professionals consider STEM as their savior. However, the ambiguity surrounding STEM and its successors, Integrated STEM education, and STEAM has created confusion for educators and frontline workers about which framework and concept they have to adapt to support their nation in the global financial crisis. Unfortunately, limited research offers insight into the historical, political, and educational development of STEM, iSTEM, and STEAM. This literature review fills this gap by addressing the historical, political, and educational development and uncertainty surrounding STEM, iSTEM, and STEAM. Also, the study explores the purpose, significance, and limitations of STEM, iSTEM, and STEAM individually and current pedagogical practices in this domain. Moreover, this literature review exposes the historical and current Canadian perspective of STEM, iSTEM and STEAM, and Canada's position and response to current global needs. Finding from the study reveal that there is a need for curriculum reform that involves adding STEM, iSTEM, STEAM domain and pedagogical practices in national/provincial curricula; professional development for teachers; support for the teachers and post-secondary institutions to increase STEM, iSTEM, STEAM- proficiency and their career interest among students to survive in the global economic race. Furthermore, the study highlights a need for further research and discussion about the STEM, iSTEM, STEAM domain and consensus among scholars on one platform. Moving forward, after STEM →iSTEM→ STEAM, What's next?

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.121
Threshold uncertainty score0.241

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0090.014
Scholarly communication0.0120.014
Open science0.0010.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0100.002

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 head0.027
GPT teacher head0.367
Teacher spread0.340 · 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 designTheoretical or conceptual
Domainnot available
GenreCommentary

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

Citations42
Published2022
Admission routes2
Has abstractyes

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