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Record W3176080488 · doi:10.23977/aetp.2021.54001

A Survey on the Deep Integration of Information Technology and Classroom Teaching of English Teachers in Higher Vocational Colleges

2021· article· en· W3176080488 on OpenAlexvenueno aff
Yao Yu

Bibliographic record

VenueAdvances in Educational Technology and Psychology · 2021
Typearticle
Languageen
FieldComputer Science
TopicEducational Technology and Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsOperabilityVocational educationIndex (typography)Mathematics educationSet (abstract data type)RationalityCollege EnglishComputer scienceTable (database)Information technologyGRASPEngineering managementEngineeringPsychologyPedagogyData miningSoftware engineering

Abstract

fetched live from OpenAlex

Based on the theory of personal growth initiative, effective teaching theory and system theory, this paper establishes a set of evaluation index system for the integration ability of information technology and classroom teaching of English teachers in higher vocational colleges by combing domestic and foreign literature. This system has strong pertinence, rationality, scientificity and operability. This paper will help teachers accurately position their information technology and classroom teaching integration ability, find out the effective way to improve their information technology and classroom teaching integration ability, and explore the feasibility and practicability of the evaluation index system. In this paper, the establishment and implementation of the evaluation index system are introduced in detail, and the quantitative table of the evaluation index system will be distributed to the English teachers in higher vocational colleges for actual evaluation to verify the effectiveness of the evaluation index system.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.018
GPT teacher head0.342
Teacher spread0.324 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

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