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Record W2137184561 · doi:10.1109/icme.2009.5202750

Magic stick: A tangible interface for the edutainment of young children

2009· article· en· W2137184561 on OpenAlex
Ali Karime, M. Anwar Hossain, Wail Gueaieb, Abdulmotaleb El Saddik

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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMobile Learning in Education
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMAGIC (telescope)Human–computer interactionComputer scienceMultimediaInterface (matter)Tangible user interfaceUser interfaceProgramming language

Abstract

fetched live from OpenAlex

Recently, there has been a high demand for developing tools that promote education through learning. We introduce our edutainment tool called Magic Stick that helps children learn about new objects by providing their names associated by visual representations regarding these objects. Children's parents or teachers can pick the entities they would like their children to learn about by simply attaching RFID tags to these entities. Afterwards, they can customize the type of information and visualizations related to these entities through the use of a friendly GUI designed for this purpose. In our study with young children, we found that the Magic Stick created an entertaining atmosphere among children and greatly engaged them in learning.

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: Observational · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.919
Threshold uncertainty score0.156

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 science0.0010.000
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 head0.008
GPT teacher head0.268
Teacher spread0.260 · 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

Citations11
Published2009
Admission routes1
Has abstractyes

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