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Record W2918205963 · doi:10.2196/12132

An E-Learning Adaptation of an Evidence-Based Media Literacy Curriculum to Prevent Youth Substance Use in Community Groups: Development and Feasibility of REAL Media

2019· article· en· W2918205963 on OpenAlexaffvenue
Anne E. Ray, Kathryn Greene, Michael L. Hecht, Sarah Barriage, Michelle Miller‐Day, Shannon D. Glenn, Smita C. Banerjee

Bibliographic record

VenueJMIR Formative Research · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsUniversity of Manitoba
FundersNational Cancer InstituteNational Institute on Drug AbuseNational Institutes of Health
KeywordsCurriculumFocus groupUsabilityMedical educationMedia literacyGeneral partnershipPsychologyLiteracyMultimediaComputer sciencePedagogyMedicinePolitical scienceBusiness

Abstract

fetched live from OpenAlex

BACKGROUND: There is a need for evidence-based substance use prevention efforts that target high school-aged youth that are easy to implement and suitable for dissemination in school and community groups. The Youth Message Development (YMD) program is a brief, four-lesson, in-person curriculum that aims to prevent youth substance use through the development of youth media literacy. Specifically, YMD aims to increase understanding of advertising reach and costs, along with the techniques used to sell products; develop counterarguing and critical thinking skills in response to advertisements; and facilitate application of these skills to the development of youth-generated antisubstance messages. Although YMD has demonstrated evidence of success, it is limited by its delivery method and focus on alcohol and smoking. OBJECTIVE: Study objectives were two-fold: (1) to adapt the YMD curriculum to a self-paced, interactive, electronic-learning (e-learning) format and expand its content to cover alcohol, combustible cigarettes, e-cigarettes, smokeless tobacco, marijuana, and prescription drugs, and (2) to test the feasibility of the adapted curriculum in partnership with a national youth organization. METHODS: An iterative process was employed in partnership with the 4-H youth development organization and a technology developer and consisted of six phases: (1) focus groups to guide adaptation, (2) adaptation to an e-learning format renamed REAL media, (3) pilot-testing of the REAL media prototype to determine feasibility and acceptability, (4) program revisions, (5) usability testing of the revised prototype, and (6) final revisions. Focus groups and pilot and usability testing were conducted with 4-H youth club members and adult club leaders. RESULTS: Focus group feedback guided the build of an e-learning prototype of REAL media, which consisted of five online levels and interactive content guided by a mix of narration and on-screen text. Results of a pilot test of the prototype were neutral to positive, and the program was refined based on end-user feedback. An independent usability test indicated that youth 4-H members felt favorably about navigating REAL media, and they reported high self-efficacy in applying skills learned in the program. Additional refinements to the program were made based on their feedback. CONCLUSIONS: The iterative build process involving the end user from the outset yielded an overall successful technology-driven adaptation of an evidence-based curriculum. This should increase the likelihood of effectively impacting behavioral outcomes as well as uptake within community organizations.

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)0.009
metaresearch head score (Gemma)0.002
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 score0.309
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.161
GPT teacher head0.452
Teacher spread0.290 · 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 designObservational
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

Citations17
Published2019
Admission routes2
Has abstractyes

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