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Record W1505608039

“AN AD’S HIDDEN MESSAGE”: TECHNOLOGY-ENHANCED LEARNING TO DEVELOP 6TH GRADERS’ MEDIA LITERACY SKILLS

2014· article· en· W1505608039 on OpenAlexaboutno aff
Iolie Nicolaidou, Yiota Ioannou

Bibliographic record

VenueKtisis at Cyprus University of Technology (Cyprus University of Technology) · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsMedia literacyLiteracyComputer scienceMathematics educationMultimediaPsychologyPedagogy
DOInot available

Abstract

fetched live from OpenAlex

Media literacy, defined as students’ “ability to access, analyse, and evaluate messages from different media and also produce messages using different types of media” (Livingstone, 2004) is a very important skill for today’s “digital natives”. Students face difficulties when asked to analyze and critically evaluate multimedia messages (Young, 2012). Similar results are supported by the study “EU Kids Online” (2011), according to which younger children lack basic skills of critical thinking and face difficulties in evaluating or filtering digital content when it comes to the credibility of media. Even though children naturally develop some basic media literacy skills through their interaction with new technologies, the role of formal schooling is crucial for helping students develop these skills (Buckingham, Banaji, Carr, Cranmer & Willet, 2005). This is why countries such as Canada, Australia, the UK, the USA, and France have incorporated media literacy into their curricula (Fedorov, 2003). In Cyprus, this is not the case. Moreover, Cyprus scores among the last countries with regard to the assessment of the level of media literacy country-wide, according to the “Study on Assessment Criteria for Media Literacy Levels” (Celot & Tornero, 2009). 
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\nRecent calls for research in the area of media literacy have identified the need to search for new designs, teaching approaches, and learning environments that are compatible with contemporary society and students’ interests (Hobbs, 2011). The present study attempts to address this need and focuses on the design, production, implementation and evaluation of a web-based learning environment on media literacy, called: “An ad’s hidden message” that aims to develop 6th graders’ skills in the understanding, analysis and production of advertising messages. The research question that this study seeks to answer is the following: What is the effect of the learning environment “An ad’s hidden message” on the development of 6th graders’ skills in a) understanding and analysing and b) producing advertising messages?.
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\nThe methodology of the study was a pre-test post-test control group design. Three 6th grade classes of a city school in Cyprus participated in the study. An activity sequence was developed that included a series of activities organized around 12 40-minute lessons to support students in developing media literacy skills in advertising. Two classes, taught by the same researcher, followed this activity sequence. In the first class (intervention class) 23 students interacted with the learning environment, while in the second class 20 students engaged in similar activities that did not involve their engagement with the learning environment (traditional class). A third class of 20 students acted as a control group.
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\nA media literacy test, modified from (Hobbs & Frost, 2003) that consisted of 5 closed and 8 open ended questions was administered to all 63 students as a pre-test, before the intervention, and as a post-test upon completion of the intervention. The advertisements that students produced served as additional data for analysis. For triangulation purposes interviews will be conducted with a small number of students. As this is a work-in-progress, the paper will report on and discuss preliminary results of data analysis of student’s performance in media literacy tests. Implications with regard to the effectiveness of the proposed media literacy intervention program will be drawn

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.002
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.195
Teacher spread0.189 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations0
Published2014
Admission routes1
Has abstractyes

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