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Record W3037393388 · doi:10.5539/elt.v13n7p118

A Review on Reader Response Approach to Teaching Literature at EFL Contexts

2020· review· en· W3037393388 on OpenAlexvenueno aff
Iskhak Iskhak, Januarius Mujiyanto, Rudi Hartono

Bibliographic record

VenueEnglish Language Teaching · 2020
Typereview
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
FundersUniversitas Negeri Semarang
KeywordsReading (process)PedagogySophisticationCritical literacyPsychologyLiteracyMeaning (existential)Constructivism (international relations)CurriculumMathematics educationSociologyLinguisticsSocial science

Abstract

fetched live from OpenAlex

The review explores the philosophical basis of the application of Rosenblatt’s Reader Response Theory (RRT) to teach reading-to write of literary works in practical senses in EFL contexts across borders. Grounded in the integration of paradigm shift from text- to reader-oriented, critical pedagogy and literacy, and socio-constructivism, reader response-based teaching pedagogy places learners among the active meaning makers as members of a democratic classroom community while getting immersed in critical reading-writing (literacy) events. Moreover, this critical review highlights the possible classroom practices as framed by RRT principles that offer freedom and enjoyment in reading literary works to face the sophistication of varied modern 21st century educational web-based platforms that lead to the use of e-response journal and e-literature circles by means of e-peer-reviewing. Drawing on the current technology-enriched teaching media, RRT application is expected to benefit most EFL learners in gauging literature-based literacy development to sensitize their intercultural communication across global contexts. Moreover, recommended practical trends of RRT principles are presented in this review.

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)0.008
metaresearch head score (Gemma)0.030
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.871
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.030
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.041
GPT teacher head0.391
Teacher spread0.350 · 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
GenreReview

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

Citations16
Published2020
Admission routes1
Has abstractyes

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