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Record W4255143630 · doi:10.24124/2013/bpgub1568

Using virtual manipulatives for 10-frame lessons with primary students: an in-depth educational study

2013· dissertation· en· W4255143630 on OpenAlexaff
Helen Wight

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsRubricInteractive whiteboardMathematics educationFrame (networking)Computer scienceTask (project management)WhiteboardJava appletMultimediaEducational technologyPsychologyEngineering

Abstract

fetched live from OpenAlex

This mixed methodology case study focused on the use of virtual manipulatives and technology in Grade 1 and Grade 2 number sense. This descriptive study examined the effectiveness of applet 10-frame lessons by comparing their use to other models. Data were collected from interviews, transcripts, checklists, and journal entries. Information revealed the number of times models were used and on students' attitudes and behaviours while using them. Student behaviours included time on task, repeated practice, the number of times students needed help, and how long it took to complete the tasks. Academic growths were measured using pre- and post-assessments and performance tasks rubrics. Students' attitudes towards the use of technology, specifically netbooks and an interactive whiteboard were analyzed and presented. The results of this study suggest that the applet models can be as effective as their concrete counterparts, and the students in this study enjoyed using technology while learning mathematics. --Leaf ii.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.094
GPT teacher head0.468
Teacher spread0.373 · 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.

Study designQualitative
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

Citations0
Published2013
Admission routes1
Has abstractyes

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