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Record W3193902206 · doi:10.24018/ejedu.2021.2.3.116

Educommunication, Geography and Virtual Games: A Proposal to Encourage Scientific Literacy in Middle School

2021· article· en· W3193902206 on OpenAlexaff
Émerson dos Reis Pereira, Andréa Goulart Mendes Carruba, Adam Gonçalves Zeni de Oliveira, Jairo Aparecido Martins, Estaner Claro Romão

Bibliographic record

VenueEuropean Journal of Education and Pedagogy · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsRegional Municipality of WaterlooUniversity of Waterloo
Fundersnot available
KeywordsPresentation (obstetrics)Mathematics educationProcess (computing)Critical thinkingLiteracyComputer scienceInformation and Communications TechnologyPedagogyScientific literacyPsychologySociologyWorld Wide WebScience education

Abstract

fetched live from OpenAlex

This research describes a development process of an educommunicational project and its presentation by 7th year’s students of Middle School. Student’s part of this research was from a private school in a city part of Sao Paulo’s State. In fact, it aimed to verify possible contributions obtained by using a specific didactic sequence linked with Geography teaching. Thereunto, virtual games and educommunication tools were used to promote literacy and scientific dissemination through Digital Information Technologies and Communication. In terms of method utilized, a qualitative-descriptive method was used since it applied observation, analysis, and data comparison to obtain results. In addition, the methodology helped to solve problems throughout the project phase until it reached its final presentation. As a final result of this project, it was observed that students could develop not only active learning but also creative learning throughout the process. As assistance, students had teacher acting as a mediator in order to constantly guide and manage them in their activities. To sum up, documentary videos presented by students, combined with games and digital educational technologies are considered relevant forms of communication as well as effective learning resources because they favor a development of critical-scientific thinking. As a matter of fact, it is applicable when carrying out researches, experiencing challenges also building knowledge throughout student’s own experience processes.

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)0.002
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 score0.705
Threshold uncertainty score0.538

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.036
GPT teacher head0.371
Teacher spread0.335 · 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
Published2021
Admission routes1
Has abstractyes

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