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Record W1556786391

K3 – an e-Learning Forum with Elaborated Discourse Functions for Collaborative Knowledge Management

2005· article· en· W1556786391 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Methods and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsCollaborative learningComputer scienceHigher educationBologna ProcessWorld Wide WebSociologyPedagogyKnowledge managementPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Abstract: The e-learning platform K3 realizes a constructivist learning model augmented with collaborative properties. K3 courses, mainly offered since 2004 at the University of Konstanz, follow the blended learning model. K3 collaborative discourse work is organized in virtual groups. All group members have to choose a role (moderator, summarizer, etc.) for a certain period and their role performance is part of their evaluation. Discourse takes place in an electronic (asynchronous) forum. Each contribution/comment must be specified according to its discourse function. These specifications structure discourse and allow selective retrieval of discourse objects. Students are encouraged to augment their contributions informationally by reference objects. A graphic interface facilitates navigation through complex discourse structures and makes them transparent. The technical basis of K3 is an open source, objectoriented client-server system for the management of the different types of K3 data. 1 Background of e-Learning in Higher Education in Europe In Europe, with some delay compared to earlier developments in the USA, Canada and in other countries, the importance of e-learning for quality and efficiency in higher education is no longer disputed. The political background in Europe for a greater awareness of the value of e-learning for higher education in general is the so

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.809
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.037
GPT teacher head0.413
Teacher spread0.376 · 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

Quick stats

Citations9
Published2005
Admission routes1
Has abstractyes

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