MétaCan
Menu
Back to cohort
Record W2893797090 · doi:10.25316/ir-1140

Innovative teaching strategies that meet the needs of all students

2018· dissertation· en· W2893797090 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueVIURRSpace (Vancouver Island University) · 2018
Typedissertation
Languageen
FieldComputer Science
TopicEducational Innovations and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationEngineering managementEngineeringComputer scienceMedical educationPsychologyMedicine

Abstract

fetched live from OpenAlex

This project work was prepared to explore innovative teaching strategies for rural Indian primary schools with an intention to prepare a grade one to five handbook for teachers. The design was based on the British Columbia (BC) curriculum model developed in Canada on the basis of innovative teaching strategies. Most of the rural Indian primary school use the traditional teaching strategies; these out-dated strategies are ones that I experienced both as a student and teacher. These teaching strategies did not help the teachers engage students in the classroom. My experiences and a strong concern about today‘s students in rural India were the driving forces behind this research project. I hope this handbook will be helpful in providing a new path for the rural Indian primary school teachers. I believe this research project will result in (a) providing innovative teaching strategies to rural Indian school teachers and (b) more engaged students in rural Indian classrooms.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.802
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
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 head0.017
GPT teacher head0.269
Teacher spread0.252 · 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