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Online Assignments: Free Web 2.0 Tools in German Language Classes

2010· article· en· W2068986961 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.

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

Bibliographic record

VenueDie Unterrichtspraxis/Teaching German · 2010
Typearticle
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsGermanDigital nativeComputer scienceMultimediaClass (philosophy)World Wide WebComicsDigital mediaField (mathematics)Focus (optics)Web applicationWeb 2.0Mathematics educationThe InternetPsychologyLinguisticsArtificial intelligenceMathematics

Abstract

fetched live from OpenAlex

Recent research suggests that the old notions of digital natives and immigrants have to be reconsidered, since today digital media skills vary considerably among students from different socioeconomic backgrounds. However, instructors can help to level the playing field by incorporating free and comprehensible Web 2.0 tools into their teaching. This paper introduces and discusses a number of online applications for collaborative writing, mind‐mapping, as well as the creation of comics, cartoons, posters and presentations. The suggested sample activities focus on user‐friendliness, easy implementation into Class Management Systems and pedagogical value for L2‐teaching.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0040.001
Research integrity0.0000.001
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 head0.021
GPT teacher head0.327
Teacher spread0.306 · 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