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Cache Me If You Can: Reflections on Geocaching from Junior/Intermediate Teacher Candidates

2012· article· en· W2470766836 on OpenAlexaffabout
John L. Vitale, Michael McCabe, Stephen Tedesco, Taunya Wideman-Johnston

Bibliographic record

VenueInternational Journal of Technology and Inclusive Education · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Tools and Methods
Canadian institutionsNipissing University
Fundersnot available
KeywordsCacheComputer scienceWorld Wide WebOperating system

Abstract

fetched live from OpenAlex

Junior/Intermediate teacher candidates were introduced to a geocaching activity (a high-tech scavenger hunt using hand-held GPS devices) that addressed the two principal strands from the Social Studies curriculum in Ontario, Canada, namely; (a) Heritage and Citizenship and (b) Canada and World Connections as well as specific expectations from the Mathematics, Health and Physical Education, Language and Literacy, and Science and Technology curriculae. Through a mixed-methods research design, surveys and reflective journal entries were analyzed to determine the attitudes, perspectives, and opinions of teacher candidates. Results have determined that the vast majority of participants found the geocaching experience vastly efficacious and highly valuable. Specifically, participants responded favourably to six principal categories, namely; (a) fun and enjoyment, (b) discovery learning, (c) space and place learning, (d) future application considerations, (e) cross-curricular integration ideas, and (f) social skills application.

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)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0130.004
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.028
GPT teacher head0.431
Teacher spread0.403 · 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 designQualitative
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

Citations9
Published2012
Admission routes2
Has abstractyes

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