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Record W3132847263 · doi:10.13016/m2okiz-p0rw

A Comparative Study in the Effectiveness of Interactive E-books to Teach Children Online Privacy and Security

2021· article· en· W3132847263 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

VenueMaryland Shared Open Access Repository (USMAI Consortium) · 2021
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsnot available
Fundersnot available
KeywordsInternet privacyComputer scienceInformation privacySociologyPsychologyComputer security

Abstract

fetched live from OpenAlex

The purpose of this study was to evaluate whether interactive e-books could as effectively teach online privacy and security to children ages 7 through 10 in Maryland, Virginia, and Maine as to Canadian children. The research replicated a study performed in Canada (Zhang-Kennedy & Chiasson, 2016), to see if the effects are the same. The study also investigated the persistence of the privacy models held by Canadian children identified prior to the COVID-19 pandemic, which had informed the design of the interactive e-book, amongst children in the Eastern Coast region of the United States. Fifteen parent and children pairs completed the study, which included a device criteria questionnaire, usability evaluations, a pre-privacy knowledge assessment before co-reading session, and a post-privacy knowledge assessment after a ten-minute distractor. Data analysis was conducted for all 15 parent-child pairs. During initial synthesis it became evident that the design of the interactive e-book was not suitable for children aged 10, which confirmed the intention of the original Canadian researcher to target young children aged 7 through 9. Therefore, results for two child participants aged 10 were excluded for the analysis that evaluated the e-book’s effectiveness, but their results were included in the analysis for the persistence of privacy models. Children in the study showed an increase in comprehension of online security and improvement on safety conscious behavior similar to the study involving Canadian children. However, children in the United States had less positive experiences with the interactive e-book than children in the Canadian study. Three mental models of privacy were found to have persisted amongst the child participants in the United States: ‘to be alone’, ‘to hide secrets/special things’, ‘to keep things to yourself’. One model did not persist after reading the e-book: ‘to not talk to strangers’ but evolved into ‘don’t trust strangers’. One new model was identified, ‘don’t let anyone see you’. Additionally, the study identified some of the ways that children’s mental models of the world were impacted by the COVID-19 pandemic. Ultimately, the goal is to provide further empirical evidence and insight to inform the design of better cybersecurity tools for young children.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0030.003
Research integrity0.0000.001
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 head0.112
GPT teacher head0.451
Teacher spread0.339 · 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