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Record W4316192706 · doi:10.5296/ijld.v12i4.20674

An Educational Information System to Follow Up on the Perceived IT Skills of Pre-Service Teachers, Global Distributions, Year 1

2023· article· en· W4316192706 on OpenAlex
Moncef Bari, Nguyen Thi Ai Minh

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.

fundA Canadian funder is recorded on the work.
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

VenueInternational Journal of Learning and Development · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsnot available
FundersUniversité du Québec à Montréal
KeywordsSession (web analytics)Service (business)PsychologyMedical educationPedagogyComputer scienceMarketingBusinessMedicineWorld Wide Web

Abstract

fetched live from OpenAlex

This article presents the preliminary results of a research project aiming at following up on the perceived IT skills of pre-service teachers of the faculty of pedagogy of Dalat University in Vietnam. It focuses on the description of the global distributions according to 8 main criteria (gender, program, progression in the program, use of computers at home, IT courses followed before and during their higher studies, perceived basic IT skills, perceived advanced IT skills, and the communication means used with teachers and fellows). These distributions helped in making comparisons between 273 participants of the newly opened primary program and 109 participants of the secondary programs operating for many years. These results provide an image of the situation at a given time, i.e., the fall session of 2021. The annual renewal of this type of survey will make it possible to describe its evolution over time.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score0.189

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 communication0.0000.000
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 head0.015
GPT teacher head0.336
Teacher spread0.321 · 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