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Record W2726341668 · doi:10.29173/iasl8140

Unleashing the Theory: Connecting Learning Theory to Building Information Seeking Skills

2021· article· en· W2726341668 on OpenAlexvenueaboutno aff
Elizabeth B. Danley, Beverly K. Maddox

Bibliographic record

VenueIASL Annual Conference Proceedings · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsInformation literacyLifelong learningContext (archaeology)PerceptionPlan (archaeology)PsychologyInformation seeking21st century skillsWork (physics)Mathematics educationQuarter (Canadian coin)Medical educationPedagogyComputer scienceEngineering

Abstract

fetched live from OpenAlex

This study surveyed 126 school librarians in eighteen countries, representing 131 schools serving more than 113,260 students. The survey instrument requested respondents to describe techniques they used to facilitate information literacy, their perceptions of their functions in the development of independent learners, and the training they received that enabled them to mediate information seeking and use skills. Survey data revealed that the respondents relate information skills instruction to students' interests, work with other teachers to place information seeking skills within the context of students' course work, and encourage students to share ideas and skills with each other as they build their own search strategies. Results indicate that the creation of independent, self-directed, lifelong learners is the goal of school librarians over the world But data also reveal that most of the respondents spend less than a quarter of their time working with teachers to plan connected programs and that many school libraries are understaffed.

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 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)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0030.024
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.276
Teacher spread0.264 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2021
Admission routes2
Has abstractyes

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