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Record W2890572214 · doi:10.5430/wjel.v8n2p31

Play with Words——Palindrome: a Method to Make English Vocabulary-learning Interesting

2018· article· en· W2890572214 on OpenAlexvenueno aff
Peng Yu

Bibliographic record

VenueWorld Journal of English Language · 2018
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsVocabularyEnthusiasmSurpriseCompetence (human resources)EtymologyComputer scienceLinguisticsReading (process)Mathematics educationPsychologyCommunication

Abstract

fetched live from OpenAlex

It is commonly believed that one of the unpopular English courses is vocabulary course, because the content is boring, the classroom atmosphere is dull and the students’ enthusiasm is low. Moreover some people think that English vocabulary course is unnecessary and it should only be learned by students themselves. Worse still, some teachers just give up the teaching of vocabulary for they think vocabulary lesson is to recite words and that is the students’ business. But in fact, it is not right, for teacher’s guidance in students’ learning is crucial, and the teaching of vocabulary is important for students’ language competence. English vocabulary learning belongs to the category of basic knowledge, and the basic knowledge of students is a necessary condition and foundation for practical use of English, no matter for oral English competence or English writing and reading ability. It is the responsibility of teachers to think such a question why students have little enthusiasm and weak interest in vocabulary course, and why the classroom atmosphere is dull instead of active and interactive. It is the task of teachers to design a vocabulary course with interesting content and interactive parts to make the lesson vivid and to improve the students’ enthusiasm and interest. Actually, in English vocabulary there are many interesting and meaningful phenomena, such as Spoonerisms, Tongue Twister Fun, oxymoron, Malapropisms, Palindrome, Redundancies, Ambiguities, "Net Lingua" – The Language of the Internet, Etymology: Word Origins, and Pangrams Section, etc., which leave a “space” for language-leaners to find out secret and surprise, and to actively explore and discover something different instead of negatively reciting words. They make the boring vocabulary lesson changed into the interesting and interactive practical course, which is one of the sources of interest for students.The author in this paper intends to give a brief introduction to one of these interesting linguistic phenomena, Palindrome, including definition, origin and function etc., for teachers to use for reference to make their course more vivid and effective.

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)0.002
metaresearch head score (Gemma)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.576
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0320.000

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 head0.317
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
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
Published2018
Admission routes1
Has abstractyes

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