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Record W2979583321 · doi:10.29173/iasl7181

Challenges for School Libraries in the digital age: A study on the knowledge seeking pattern among male and female students in Sri Lanka

2018· article· en· W2979583321 on OpenAlexvenueno aff
Yasindri Vishnika Premadasa

Bibliographic record

VenueIASL Annual Conference Proceedings · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGender and Technology in Education
Canadian institutionsnot available
Fundersnot available
KeywordsSri lankaElectronic mediaMedical educationPsychologyPrint mediaMedicineAdvertisingSociologySocioeconomicsBusiness

Abstract

fetched live from OpenAlex

Current literature shows that very limited research has been done with respect to young school children and their usage of print and electronic media, which implies its timely importance of such research for the policy makers, educators, libraries, education reformists and the young school children of Sri Lanka. This paper discuss a comparative study that was carried out to investigate the knowledge seeking patterns among students are changing from print to electronic media. The survey was conducted among four schools in Sri Lanka, comprised of a total of 400 students ranging from 14 years (grade nine students) to 18 years (grade thirteen students). Our study showed, 66% of grade nine students, 77% of grade ten students, 72% of grade eleven students and 80% of the grade twelve students prefer electronic media over print media. Our study also showed a gender effect on the use of electronic media.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.039
Threshold uncertainty score0.624

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.087
GPT teacher head0.356
Teacher spread0.269 · 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 teacher head, 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

Citations1
Published2018
Admission routes1
Has abstractyes

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