A Tale of Three Cities: Fostering Intrinsic Motivation for Information Seeking in Children of Diverse Cultures
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".