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Record W2755227804 · doi:10.18438/b8qs9m

What is the Best Way to Develop Information Literacy and Academic Skills of First Year Health Science Students? A Systematic Review

2017· review· en· W2755227804 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEvidence Based Library and Information Practice · 2017
Typereview
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsInclusion (mineral)Information literacyMedical educationIntervention (counseling)PsychologyHealth literacyHealth careMedicinePedagogySocial psychology

Abstract

fetched live from OpenAlex

Abstract Objective – This systematic review sought to identify evidence for best practice to support the development of information literacy and academic skills of first year undergraduate health science students. Methods – A range of electronic databases were searched and hand searches conducted. Initial results were screened using explicit inclusion and exclusion criteria to identify 53 relevant articles. Data on study design, student cohort, support strategy, and learning outcomes were extracted from each article. Quality of individual studies was considered and described narratively. Articles were classified and findings synthesized according to the mode of delivery of the intervention (Embedded, Integrated, or Adjunct) and classification of the study’s learning evaluation outcome (Organizational change, Behaviour, Learning, or Reaction). Results – Studies included in this review provide information on academic skills and information literacy support strategies offered to over 12,000 first year health science students. Courses targeted were varied but most commonly involved nursing, followed by psychology. Embedded strategies were adopted in 21 studies with Integrated and Adjunct strategies covered in 14 and 16 studies respectively. Across all modes of delivery, intervention formats included face-to-face, peer mentoring, online, and print based approaches, either solely or in combination. Most studies provided some outcomes at a level higher than student reaction to the intervention. Overall, irrespective of mode of delivery, positive learning outcomes were generally reported. Typically, findings of individual studies were confounded by the absence of suitable control groups, students self-selecting support and analysis of outcomes not accounting for these issues. As a result, there is very little unbiased, evaluative evidence for the best approach to supporting students. Nonetheless, our findings did identify poor student uptake of strategies when they are not interwoven into the curriculum, even when students were encouraged to attend on the basis that they had been identified at academic risk. Conclusions – The majority of studies included have reported positive learning outcomes following the implementation of academic skills and information literacy support strategies, irrespective of their mode of delivery (Embedded, Integrated, or Adjunct). Clear, rigorous evidence that embedded strategies offer superior learning outcomes compared to other delivery modes is lacking. However, because of poor student uptake of strategies offered outside curricula, embedded modes of academic and information literacy support are recommended for first year health science courses.

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.

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)0.006
metaresearch head score (Gemma)0.027
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.529
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.200
Open science0.0010.000
Research integrity0.0000.001
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 head0.050
GPT teacher head0.445
Teacher spread0.395 · 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