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Record W3199111578 · doi:10.18438/eblip29944

Perceptions of the Skills of Graduates in the Library and Information Science and Technology Degree of P. Porto, Portugal: A Statistical Data Analysis of the Alignment Between Students, Teachers, and Employers

2021· article· en· W3199111578 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 · 2021
Typearticle
Languageen
FieldComputer Science
TopicInformation Science and Libraries
Canadian institutionsnot available
Fundersnot available
KeywordsEmployabilityTest (biology)Kruskal–Wallis one-way analysis of variancePsychologyNormalityWilcoxon signed-rank testPerceptionMathematics educationMedical educationSocial psychologyStatisticsMathematicsPedagogyMann–Whitney U testMedicine

Abstract

fetched live from OpenAlex

Objective – The objective of this research was to identify the four professional competences of graduates in Library and Information Sciences and Technologies (LIST) considered most pertinent, from the points of view of students, teachers, and employers. We also sought to compare the perceptions of the different groups. The study was based on the premise that alignment of these perceptions may enhance the employability of LIST graduates. Methods – A questionnaire, used and validated by Arias-Coello et al. (2014), was further translated by Martins and Carvalho (2018). The questionnaire consisted of a set of questions regarding four dimensions: Information Management; Communication and Interpersonal Relationships; Domain and Application of Information Technologies; Organization Management. We sent the survey by email to the target audience; it was available to complete in April and May 2018. Data analysis included calculating mean and standard deviation, as well as Shapiro Wilk normality tests, statistical tests for multiple comparisons, ANOVA, Kruskal Wallis test, Friedman test, Wilcoxon test, and Pearson's correlation. Results – In relation to certain dimensions, one could think that age would be a determining factor, but this has not been proved. In fact, results showed that age is not a factor that influenced the importance attributed to different competences in the several dimensions. The respondents' academic degrees and areas of knowledge were linked to significant differences transversally. The Kruskal Wallis test indicated that students, teachers, and employers perceived the importance of Information and Communication Technologies (ICT) skills equally. As for the other competences, overall there were significant differences between students and employers, and there were significant differences between students and teachers regarding the perceived importance of organization management skills. There were also significant differences between teachers, students, and employers regarding the perceived importance of communication skills. We also found that responses within the teacher group had less dispersion of answers, therefore there was greater internal agreement. The opposite occurred in the employer group. Conclusion – The differences detected in the perception of the different groups were minor. However, it is necessary to create initiatives for the alignment of the perceptions of students and employers, because if all groups have the same perception, they will develop and value the same skills, responding to the needs of the labor market, thus promoting the employability of LIST graduates. The inclusion of a curricular internship, even one of short duration, in the first year of the degree could also be a way of endeavoring to bring together the expectations of both groups. These suggestions are part of a proposal to change and update the study plan and enhance the performance of course management.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.001
Scholarly communication0.0000.195
Open science0.0010.001
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 head0.026
GPT teacher head0.298
Teacher spread0.271 · 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