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Record W954890233 · doi:10.37237/030203

nvestigating the Information Needs of University Students in Foundational Foreign Language Courses

2012· article· en· W954890233 on OpenAlexaff
Glenna Westwood

Bibliographic record

VenueStudies in Self-Access Learning Journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsForeign languageResource (disambiguation)Information needsGrammarComputer scienceMathematics educationPoint (geometry)PsychologyWorld Wide WebLinguistics

Abstract

fetched live from OpenAlex

This investigation seeks to address two issues: first, to discover if there is evidence that university students in foundational language courses need information resources to support their language learning and second, if such evidence exists, what the specific information resource needs might be and how important those resources are to students’ language learning. After engaging in a year of foreign language study, the author used the evidence gathered to develop and conduct a survey of the user needs of language students at the Self Access Centre (CAADI) of the University of Guanajuato, Mexico. Results of the survey supported the personal learning experiences of the author. Over 80% of students surveyed reported using the information resources in the CAADI at least once a week with general grammar books, course text books and films being reported as the most important resources. This investigation provides a starting point for research in to the collection development practices of academic libraries supporting the learning of foreign languages. By examining the information needs of one population, evidence has been provided that these students do indeed need information resources to support their language learning. The study suggests specific resource types that could be important for these users.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.414
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.020
Open science0.0000.000
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 head0.039
GPT teacher head0.377
Teacher spread0.338 · 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.

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

Citations3
Published2012
Admission routes1
Has abstractyes

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