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Education beyond the pandemic: The interactive documentary as a hybrid learning opportunity

2022· article· en· W4220932750 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.

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

VenueSinéctica Revista Electrónica de Educación · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCommunication and COVID-19 Impact
Canadian institutionsnot available
FundersFederation for the Humanities and Social Sciences
KeywordsDigital storytellingSociologyAction researchIntersection (aeronautics)StorytellingProcess (computing)Exploratory researchMathematics educationPedagogyComputer sciencePsychologyEngineeringSocial scienceArt

Abstract

fetched live from OpenAlex

This exploratory research applies a transdisciplinary perspective between the fields of education, science communication, design, journalism and emergent technologies, exploring the interactive documentary (i-doc) as a proposal to open horizons for new techniques and practices that can improve education and the planning of communicative relations between people, digital objects and real life.Articulating storytelling, gaming and multimodality, one prototype is produced and its respective proof of concept is carried out in two classes: Biology and Geology students from a regular secondary school and Journalism students from the university level, being the respective teachers involved in the process. Action-research is applied within several techniques as bibliographic review, questionnaires, semi-structured interviews, participation observation and focus group, to test and evaluate the inherent proposal. The results are favorable to the usefulness and viability of the idea and it will be interesting to investigate in a more systematic way, to better understand the opportunities in the intersection between science, technology and art which stimulate the production and usefulness of hybrid learning opportunities.www.mariaparreira.comhttps://pt.linkedin.com/in/maria-jo%C3%A3o-horta-parreira

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.605
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.021
GPT teacher head0.372
Teacher spread0.351 · 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