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Record W2112669587

Designing for Pedagogical Effectiveness: The TextWeaver

2002· article· en· W2112669587 on OpenAlexaff
Cindy Xin, Andrew Feenberg

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsComputer scienceWeavingReading (process)SoftwareReuseSoftware engineeringWorld Wide WebMultimediaEngineeringProgramming language
DOInot available

Abstract

fetched live from OpenAlex

The online discussion forum is the main mode of interaction for Web-based learning. Existing online instructional management systems contain primitive discussion tools that do little to facilitate online interaction and collaborative discourse. This paper proposes the design of a new type of software – the TextWeaver ™ – to meet these needs. In particular, we illustrate improved design in four areas: reading and composing, message keywording and weaving, material storing and reusing, and working offline. The paper starts with an overview of existing network-based educational systems and discusses software design considerations for networked computers and related pedagogical principles. This is followed by a description of the proposed design of the TextWeaver ™ and a discussion of its pedagogical implications. We conclude with a discussion of evaluation strategies for the software, future directions for research, and a summary of our conclusions. 1.

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)0.006
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.007
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.027
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0050.007
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.147
GPT teacher head0.400
Teacher spread0.253 · 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 designBench or experimental
Domainnot available
GenreMethods

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

Citations7
Published2002
Admission routes1
Has abstractyes

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