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Record W7037584310

ERIC ED520294: Alternative and Asset-Based Evaluation and Assessment in Language Teaching and Literacy: Resources for Research, Classroom Instruction and Evaluation of Language Competence

2011· other· en· W7037584310 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2011
Typeother
Languageen
FieldEngineering
TopicSlime Mold and Myxomycetes Research
Canadian institutionsnot available
Fundersnot available
KeywordsForeign languageCompetence (human resources)LiteracyLanguage educationLanguage industryLanguage assessmentComprehension approachField (mathematics)Linguistic competence
DOInot available

Abstract

fetched live from OpenAlex

This annotated bibliography surveys key resources and research related specifically to language learning and literacy. It focuses on resources that will be valuable to teaching professionals and researchers who specialize in the areas of foreign and second language teaching, language arts and first and second language literacy. Significant theoretical research and applied classroom practice has been done in the field of alternative assessment, and specifically in area of using portfolios and e-portfolios (Barrett, 2010; Brear, 2007; Dominguez, 2011; JISC, 2008; Meuller, 2011; North Carolina Regional Educational Laboratory, n.d.; Shao-Ting & Heng-Tsung). The practice of using portfolios for second and foreign language teaching has increased in popularly, with an increased understanding and adoption of the Common European Framework of Reference for Languages (Council of Europe, 2001). Almost simultaneously, there has been a rise in the use of similar frameworks in the field of literacy (Alberta Advanced Education and Technology, 2009; Literacy BC, n.d.). However, there is little collaboration between those who work in literacy and those who teach second and modern languages (Eaton, 2010). This annotated bibliography is an attempt to collect, select and share resources that may be relevant, helpful and useful to professionals working in both the second language and literacy sectors. The deeper values that guide this work are predicated on the belief that researchers and practitioners working in both fields have much in common and would benefit greatly from increased dialogue and shared resources. A bibliography is included.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.649
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.311
Teacher spread0.289 · 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 teacher head, not a consensus.

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

Citations0
Published2011
Admission routes1
Has abstractyes

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