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Record W2609199739 · doi:10.5539/ies.v10n5p157

A Tale of Three Cities: Fostering Intrinsic Motivation for Information Seeking in Children of Diverse Cultures

2017· article· en· W2609199739 on OpenAlexvenueno aff
Sherry R. Crow, Lisa Kastello

Bibliographic record

VenueInternational Education Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsnot available
FundersUniversity of Nebraska Kearney
KeywordsCollectivismPsychologyAutonomySocial psychologyCompetence (human resources)CreativityIndividualismIndividualistic cultureInformation seekingPolitical science

Abstract

fetched live from OpenAlex

The purpose of the research was to increase understanding of the experiences in the lives of upper elementary-aged students that foster an intrinsic motivation to seek information, as well as to compare and contrast the experiences of intrinsically motivated students from an individualist culture (Colorado Springs, Colorado, U.S.), a collectivist culture (Kampala, Uganda) and a culture that is both individualistic and collectivist (Mysore, India). The principal results are that the informants from all three groups had an affinity for play, a tendency toward creativity, and that they enjoyed doing competence-building activities. A point of disparity in the findings was in the information seeking behavior of the collectivist Kampalan students with regard to their penchant for seeking information by asking other people as compared with the two less-collectivist groups. Interest/relevance was the dominant factor in all three groups of students’ favorite information seeking quests. Major conclusions are that social conditions supporting all three needs (autonomy, competence, and relatedness) that foster intrinsic motivation were evident in the lives of the students, though relatedness and autonomy needs were balanced differently depending on their cultures. Recommendations based on this research for elementary school teachers and librarians are: to allow choice when possible, to provide creative alternatives for students to present information, to be sensitive to the differing relational needs of children, and to be there as a stable influence when immigrant students find circumstances overwhelming. Findings on the information-seeking styles by media types of the three sets of informants are included.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.304

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
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 head0.075
GPT teacher head0.382
Teacher spread0.308 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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