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Record W4380562398 · doi:10.5281/zenodo.8035733

Teaching LESLLA Learners How to Use Chromebooks: Challenges and Possibilities

2019· article· en· W4380562398 on OpenAlexaff
Trudie Aberdeen

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2019
Typearticle
Languageen
FieldComputer Science
TopicMobile Learning in Education
Canadian institutionsCanadian Mennonite University
Fundersnot available
KeywordsMathematics educationComputer sciencePsychologyPedagogy

Abstract

fetched live from OpenAlex

This paper is an exploration of how Low-Educated Second Language and Literacy Acquisition (LESLLA) learners can make the best use of Chromebooks in an English as a Second Language (ESL) classroom and move from emergent to building users of technology. First, I argue that many of the challenges that prevent instructors from using this technology happen at the commencement of the program, and, with proper preparation, these issues can be avoided. Next, I demonstrate how on-going instruction can be scaffolded for LESLLA learners. Finally, I maintain that motivation and empowerment are experienced by the learners which makes this instruction timely and personally-relevant. To conduct this 20-week project, I used Action Research and used a variety of data: work samples, lesson plans, researcher notes, and class discussions and evaluations. This paper outlines key considerations for classroom instructors or program leaders who plan on implementing technology programs for English as a Second Language (ESL) learners with low print literacy in any language.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient 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: Empirical
Teacher disagreement score0.971
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.003

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 head0.044
GPT teacher head0.253
Teacher spread0.208 · 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
Published2019
Admission routes1
Has abstractyes

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Same venueZenodo (CERN European Organization for Nuclear Research)Same topicMobile Learning in EducationFrench-language works237,207