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Record W2238071917

Remote Work System for High School Students

2005· article· en· W2238071917 on OpenAlexaff
Jason Yeung, Bertha Konstantinidis, Deborah I. Fels

Bibliographic record

VenueEdMedia: World Conference on Educational Media and Technology · 2005
Typearticle
Languageen
FieldComputer Science
TopicVirtual Reality Applications and Impacts
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsVideoconferencingMathematics educationWork (physics)Computer sciencePsychologyMultimediaPedagogyEngineering
DOInot available

Abstract

fetched live from OpenAlex

PEBBLES (Providing Education By Bringing Learning Environments to Students) is a videoconferencing system which combines traditional videoconferencing equipment with simple robotics. It allows elementary school aged children who are unable to attend school because of hospitalization or other reasons to establish a presence in their classroom with a remotely controlled videoconferencing robot. Earlier studies have shown that PEBBLES can be successfully integrated into classrooms at the elementary level. This paper documents the development and testing of PEBBLES for high school classrooms. Results from a preliminary study with three secondary school students using a simulated version of a high school PEBBLES showed the high school classroom environment is very different from an elementary classroom in important ways, namely in the amount of group work assigned, presentations to be carried out and notetaking. This has necessitated changes to PEBBLES including increasing its mobility and adding functionality that would be useful for supporting students in a high school classroom environment.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.682

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.031
GPT teacher head0.300
Teacher spread0.269 · 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 designTheoretical or conceptual
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

Citations2
Published2005
Admission routes1
Has abstractyes

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