MétaCan
Menu
Back to cohort

Collateral Benefits of an Interactive Literacy Program for Grade 1 and 2 Students

2001· article· en· W1590354852 on OpenAlexaff
John A. Ross, Anne Hogaboam‐Gray, Lynne M. Hannay

Bibliographic record

VenueJournal of Research on Computing in Education · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicGender and Technology in Education
Canadian institutionsInstitute for Christian StudiesUniversity of Toronto
Fundersnot available
KeywordsComputer scienceSoftwareCollateralComputer softwareMathematics educationComputer-Assisted InstructionComputer literacyReading (process)LiteracyMultimediaMedical educationPsychologyPedagogySoftware engineeringMedicineOperating system

Abstract

fetched live from OpenAlex

This study examined the collateral effects of Wiggle Works (1994–1996), an interactive literacy program, in two settings: a cohort study comparing random samples of Grade 1 and 2 students (N = 452) before and after software implementation and a longitudinal sample tracing students from kindergarten to Grade 1 (N = 126). Wiggle Works contributed to greater student use of computers, enhanced computer skills, computer self-efficacy, and (in Grade 1 only) enjoyment of computers. The univariate effects were of small to medium size and were robust across grades and genders. Positive effects were observed regardless of whether the school received new hardware at the time of software delivery or used existing equipment of sufficient power acquired a year earlier. The study suggests that the high cost of adopting interactive literacy software may be warranted if the program has benefits beyond its contributions to reading and writing skills.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.806
Threshold uncertainty score0.174

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.097
GPT teacher head0.564
Teacher spread0.466 · 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

Citations16
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Research on Computing in EducationSame topicGender and Technology in EducationFrench-language works237,207