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Record W3144950918 · doi:10.29173/iasl8114

Patterns of Information Seeking among Israeli 12th Grade High School Students Writing Final Research Papers

2021· article· en· W3144950918 on OpenAlexvenueno aff
Moshe Yitzhaki, Mihal Bibi

Bibliographic record

VenueIASL Annual Conference Proceedings · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsThe InternetMatriculationPsychologyInformation seekingMedical educationSocial scienceMathematics educationLibrary scienceSociologyMedicineComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

The purpose of the present study was to examine areas of interest and information seeking patterns of Israeli 12th graders who engaged in research work for their final research paper, an optional partial requirement for obtaining an official matriculation diploma. A detailed questionnaire, based on former studies was disseminated in high schools all over the country, yielding 200 usable questionnaires. Main findings: topping the list of chosen topics were the humanities (44%), followed by the sciences (33%), and the social sciences (24%). Considerable differences were found between girls and boys. Girls preferred topics from the social sciences (mainly sociology) and from the humanities (except history) while boys preferred scientific topics. Most respondents had a computer at home (93%) which was usually connected to the Internet (78%) and they had taken some computer course in the past (70%) although a considerable proportion, more girls than boys, did not make use of them. Gender was found to be significantly associated with the chosen field. Taking a computer course and use of home Internet were found to be associated with searching the Internet in the process of information seeking while working on the final paper. A home computer connected to the Internet was associated with the use of formal and informal information sources. The school library was the most-visited one followed by academic, public and home libraries. However, a considerable proportion of the respondents reported no or few visits only. Most respondents reported receiving only little or no advice and guidance regarding the library and database searching. When guidance was provided, it usually consisted of a single-session on a personal basis. Guidance given by a teacher was frequently face to face, with the student more likely to use an OPAC, while when given by a university teacher it was usually in front of a computer, followed by lesser use of OPACs. In summation, although most students were aware of powerful new IT tools, their use is not as prevalent as may be assumed, mainly due to poor or inadequate guidance.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.052
GPT teacher head0.353
Teacher spread0.301 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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