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Investigating Learner Autonomy and 21st Century Skills in Blended Tech-Enhanced Language Learning

2020· book-chapter· en· W3010699136 on OpenAlexaff
Farhana Ahmed

Bibliographic record

VenueAdvances in educational technologies and instructional design book series · 2020
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsYork University
Fundersnot available
KeywordsLearner autonomyAutonomyContext (archaeology)PedagogyBlended learningPsychologyIntervention (counseling)Mathematics educationEducational technologyPolitical scienceLanguage education

Abstract

fetched live from OpenAlex

This chapter reports on a study that examines learners' beliefs towards technology use with specific focus on the development of learner autonomy in a blended context within a post-secondary English for academic purposes (EAP) program. The growth of post-secondary EAP programs along with the researchers' awareness and interest in leveraging technological tools in support of student-centered learning motivated this research. Findings reveal students' overall positive attitude towards technology use and adoption of some 21st century skills in learning English. When innovative pedagogical methods are supported by intervention in learning, a heightened critical awareness and movement towards learner autonomy was observed among students through fostering of some 21st century competencies. The chapter concludes with recommendations for teacher education in tech-enhanced pedagogy, teacher-intervention in educating students about the rationale for technology use, leveraging students' digital resources and ongoing critical and reflective teaching practices.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.569
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0000.000
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 head0.012
GPT teacher head0.230
Teacher spread0.218 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations3
Published2020
Admission routes1
Has abstractyes

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