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Record W4281632939 · doi:10.24018/ejedu.2022.3.3.334

Self-Perception on Information Technology Skills of Pre-Service Teachers from the Point of View of Their Programs

2022· article· en· W4281632939 on OpenAlexaff
Moncef Bari, Phu Chi Hoa

Bibliographic record

VenueEuropean Journal of Education and Pedagogy · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPerceptionPoint (geometry)CurriculumPsychologyThe InternetMedical educationMathematics educationPedagogyComputer scienceMedicineWorld Wide WebMathematics

Abstract

fetched live from OpenAlex

This article presents the initial results of a survey on the IT skills of prospective teachers of different teaching programs of the faculty of pedagogy of Dalat university (Vietnam). These students have no academic IT training in their curriculum, so the objectives of this survey were (1) to find out their self-perception about the skills IT they use almost every day but without a specific course, and (2) to identify specific profiles according to the different programs and to make a comparison between them. The survey has been conducted through the Internet, using Google Forms, and the responses were anonymous. The questions were focused on their self-perception on their skills regarding media processing (images, sounds, and videos) and website creation. 72 responses were received among which 70 were valid. The results show that there is not a significant difference between the student’s self-perception skills according to their programs whereas there are differences according to the kind of the media processing skills.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.828
Threshold uncertainty score0.166

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.019
GPT teacher head0.329
Teacher spread0.310 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations0
Published2022
Admission routes1
Has abstractyes

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