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Record W1546971882

iPads and Digital Storytelling: Successes and Challenges With Classroom Implementation

2011· article· en· W1546971882 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueeSpace (Curtin University) · 2011
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsAthabasca University
Fundersnot available
KeywordsComputer scienceMultimediaDigital storytellingStorytellingMathematics educationPedagogyNarrativeSociologyPsychology
DOInot available

Abstract

fetched live from OpenAlex

This paper presents successes and challenges of two iPad implementation projects in K-12 schools. The focus of the implementation was on the incorporation of digital storytelling activities supported by iPad technology into classroom practice. Findings of the research provide insights regarding the introduction of new technology into the classroom, engagement of students with mobile connected devices, use of specialty apps, and issues/solutions identified with the management of iPad devices. Numerous implications of this research, including examining the constructionist theories and the learning behind the creation of educational artifacts, apply to the development of 21st Century learner skills. In practice, both management issues regarding implementing new technology as well as the pedagogical implications exist; providing students with technology access that allows them to create digital stories and share them beyond the classroom.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.670
Threshold uncertainty score0.422

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 communication0.0000.001
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 head0.078
GPT teacher head0.308
Teacher spread0.230 · 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