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Record W2107531808 · doi:10.18438/b85k7t

Learning in Simulations: Examining the Effectiveness of Information Literacy Instruction Using Middle School Students’ Portfolio Products

2010· article· en· W2107531808 on OpenAlexvenueno aff
Terrance S. Newell

Bibliographic record

VenueEvidence Based Library and Information Practice · 2010
Typearticle
Languageen
FieldPsychology
TopicEducational Games and Gamification
Canadian institutionsnot available
Fundersnot available
KeywordsInformation literacyPortfolioRelevance (law)Computer scienceMathematics educationVariety (cybernetics)Set (abstract data type)Contingency tablePsychologyWorld Wide Web

Abstract

fetched live from OpenAlex

Objective –This study compared the effectiveness of simulation-based and didactic instructional approaches in improving students’ understanding of information literacy (IL) concepts and practices. Methods – The instructional approaches were implemented with two groups of middle school students (i.e., seventh and eighth grades) over a 4-week period. During the implementation period, all students were required to maintain a portfolio of their work. The portfolios were designed to capture students’ actions as they engaged in a common set of information-based problems. The contents of the portfolios were analyzed to examine the research questions that guided the study. Contingency tables demonstrated observed patterns of difference from week 1 to week 4. Chi-square analysis helped to determine whether a significant relationship existed between instructional approach and shifts in IL proficiency levels at the .05 level. Results – There was a significant relationship between the simulation-based approach and increases in students’ ability to 1) recognize the need for information, 2) formulate specific questions that would help in finding needed information, 3) identify a range of information sources for meeting needs, 4) explain successful strategies for accessing needed information, 5) judge the accuracy, relevance and completeness of sources and 6) analyze information from a variety of sources to determine its applicability to a specific problem. Four major distinctions are believed to have caused the students within the simulated instructional environment to experience more proficiency level shifts: situated practice, authenticity, community of practice and an expanded landscape of resources. Conclusion – The results of this study suggest that simulation-based instructional approaches have the potential to augment IL learning. The technology-based approaches may provide powerful learning environments (virtual worlds) that allow students to engage in the activities and practice of information specialists, instead of simply learning the facts associated with the discipline.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.333
Teacher spread0.306 · 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 source (direct Gemma or distilled Codex), 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

Citations11
Published2010
Admission routes1
Has abstractyes

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