MétaCan
Menu
Back to cohort
Record W4385566730 · doi:10.5539/hes.v13n3p135

The Guideline of Community Based Historical Learning to Enhance Digital Citizenship of Secondary school students in Education Sandbox

2023· article· en· W4385566730 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

VenueHigher Education Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Curriculum and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsSandbox (software development)Participatory action researchPsychologyEducational technologySociologyMedical educationPedagogyMathematics educationComputer scienceMedicineLibrary science

Abstract

fetched live from OpenAlex

This study of Participatory Action Research aimed to 1) study the guideline of community based historical learning management to enhance digital citizenship of secondary school students in the Education Sandbox and 2) propose a guideline of community based historical learning management to enhance digital citizenship of secondary school students in the Education Sandbox. The research sample was 1) a team of ten faculty members and social studies teachers; and 2) a team of 5 learning management experts. Purposive sampling was used to pick 15 persons, and the study tools were 1) a document analysis form 2) an unstructured interview template 3) an Assessment form for an appropriate learning management approach. The qualitative data were content evaluated and presented in descriptive analysis. The study discovered that: 1. The study the guideline of community based historical learning management to enhance digital citizenship of secondary school students in the Education Sandbox discovered that management of community-based historical learning is a concept of history learning management together with Community-Based Learning: CBL by connecting students' understanding as local members with a sense of history in their area with the learning process by employing local history content as a learning point that leads to the development of digital-based learning innovations to promote tourism in the community, in which teachers must manage learning to engage students in designing, planning as well as choosing study areas that interest them and in the education sandbox area, some several measurements and assessments respond to education management. And 2. The propose a guideline of community based historical learning management to enhance digital citizenship of secondary school students in the Education Sandbox, it was discovered that the researcher developed a community-based historical learning management approach known as the Guideline of Community Based Historical Learning: CBHL or 3P Model, which consists of 1. Prepare 2. Process and 3) Present, with the results of the highest degree of suitability assessment for learning 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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.498

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 studies0.0010.000
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 head0.091
GPT teacher head0.490
Teacher spread0.400 · 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