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Record W1995795013 · doi:10.1145/2559206.2579484

Loopo

2014· article· en· W1995795013 on OpenAlex
Paulina Mun-Yee Lam, Carlo Ka-Ho Lai, Yeseul Choi, Brianna Jean Huxtable, Jan Rainier Castro, Andrew Hawryshkewich, Carman Neustaedter

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicTeaching and Learning Programming
Canadian institutionsSimon Fraser University
FundersSimon Fraser University
KeywordsComputer scienceInterface (matter)MultimediaComputer programmingHuman–computer interactionUser interfaceWorld Wide WebProgramming languageOperating system

Abstract

fetched live from OpenAlex

This project explores a method to incorporate computer programming into primary school education. Through researching into effective teaching methods and combining it with inspirations taken from existing educational computer programming projects, we developed Loopo. Loopo blends a specially designed tangible interface with a digital interface. The tangibility of Loopo encourages collaboration among the users and motivates them to learn together. To keep up with the increasingly earlier adoption of computer technology, Loopo's goal is to teach children the fundamentals of computer programming in a fun, relatable, and interesting way, while nurturing collaboration through an easily approachable system.

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: Methods · Consensus signal: none
Teacher disagreement score0.972
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.006
GPT teacher head0.212
Teacher spread0.206 · 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

Quick stats

Citations1
Published2014
Admission routes2
Has abstractyes

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