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Record W2148680483 · doi:10.1109/hicss.1991.184082

Designs & tools to augment collaborative learning in computerized conferencing systems

2002· article· en· W2148680483 on OpenAlexaff
Linda Harasim

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsComputer scienceCollaborative learningReading (process)Collaborative softwareMultimediaVideoconferencingHuman–computer interactionTeleconferenceComputer-supported cooperative workComputer-supported collaborative learningWorld Wide WebWork (physics)Knowledge management

Abstract

fetched live from OpenAlex

Consideration is given to the use of computer conferencing for knowledge building and networking, with specific attention to designs and tools to enhance group learning processes and tasks. Field trials of educational computer conferencing demonstrate that with careful attention to design, computer conferencing can support and augment important aspects of active and purposeful collaborative learning. Work to date indicates that the intentional structuring of computer conferences-such as in the definition of individual, paired and small group tasks, and in the definition of sub-group and whole-group discussion-facilitates and increases active student input and peer interaction. At the same time, experience and research suggest that the medium is incomplete: organization of the collaborative work is not contextualized within the operating system and teachers and learners find it necessary to provide information management outside the operating environment. Tools are needed to support specific teacher and learner activities, such as active reading and idea linking and organizing. The author reports on the use of intentional design and hypertextual tools to support and augment collaborative learning within current computer conferencing systems.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.740
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.240
GPT teacher head0.405
Teacher spread0.165 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations5
Published2002
Admission routes1
Has abstractyes

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