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Record W1561025970

Virtual Manipulative Materials in Secondary Mathematics: A Theoretical Discussion.

2009· article· en· W1561025970 on OpenAlex
Immaculate Kizito Namukasa, Darren Stanley, Martin Tuchtie

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueScholarship@Western (Western University) · 2009
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversity of WindsorWestern University
Fundersnot available
KeywordsMathematics educationComputer scienceComputer-Assisted InstructionSecondary educationTeaching methodMultimediaMathematics
DOInot available

Abstract

fetched live from OpenAlex

With the increased use of computer manipulatives in teaching there is need for theoretical discussions on the role of manipulatives. This article reviews theoretical rationales for using manipulatives and illustrates how earlier distinctions of manipulative materials must be broadened to include new forms of materials such as virtual manipulatives which are also useful tools in a larger collection of learning tools. applying a theoretical lens to a specific material—polynomial tiles—this article demonstrates the following: (a) a complementary relationships between virtual and concrete manipulatives, (b) two or more theories can appropriately justify the same material, and (c) exploration of a specific manipulative may generate novel theoretical rationales. This exploration has proven to be helpful in the process of designing, selecting, categorizing and evaluating learning tool.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.363
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.111
GPT teacher head0.390
Teacher spread0.279 · 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