Developing information literacy skills in elementary students using the web-based Inquiry Strategies for the Information Society of the Twenty-First Century (ISIS-21)
Bibliographic record
Abstract
This study was undertaken to learn about the impact of using the web-based Inquiry Strategies for the Information Society of the Twenty-First Century (ISIS-21), software developed by the authors, to improve the information literacy (IL) skills of late elementary students (10-12 years). Using a series of multi-media and learning strategies design principles, ISIS-21 was designed to be used in late elementary classrooms given the gap in children’s IL skills and the increasing importance for individuals to be critical consumers of information, particularly when using Internet-based environments. An exploratory, two-phase field trial was conducted in English schools in a central province of Canada. In both phases the research design was a one-group, pretest-posttest where data were collected from 150 students at the baseline and after the use of ISIS-21 for completion of an inquiry project. Teacher self-reports were also collected. The results were encouraging as we were able to establish the feasibility and importance of using ISIS-21 in classrooms to promote the development of IL skills in late elementary students.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".