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Record W4324130869 · doi:10.5539/hes.v13n2p14

Guidelines for the Development of Thai Reading and Writing under the COVID19 Situation of Grade 1 Students at Huai Ton Na Fai Educational Quality Development Center

2023· article· en· W4324130869 on OpenAlexvenueno aff
Piyaporn Seesun, Ninmani Tharintharawat, Teerasit Sawat, Boonchom Srisa-ard, Songsak Phusee-orn, Yannapat Seehamongkol, Apantee Poonputra

Bibliographic record

VenueHigher Education Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology-Enhanced Education Studies
Canadian institutionsnot available
FundersMahasarakham University
KeywordsReading (process)PsychologyQuality (philosophy)Coronavirus disease 2019 (COVID-19)Medical educationMathematics educationQuality standardPedagogyMedicinePolitical scienceChemistryPhysics

Abstract

fetched live from OpenAlex

This research aimed to 1) study current conditions and problems in the development of reading and writing Thai language under the situation of COVID-19 of Grade 1 students at Huai Ton Na Fai Educational Quality Development Center; and 2) study the guidelines for the development of Thai reading and writing under the situation of COVID-19 of Grade 1 students at Huai Ton Na Fai Educational Quality Development Center. This mixed method research was divided into 2 phases: Phase 1: studied current conditions and problems from the sample group consisted of 138 participants from 8 schools; and Phase 2 studied the guidelines for the development from 12 experts through a focus group discussion. Research tools used in the research were an interview form and a questionnaire with 0.977 of reliability. The data were analyzed using frequency, percentage, mean, standard deviation, and content analysis. The results on the study of the current conditions and problems on Thai reading and writing revealed that the policy in practicing reading and writing skills and the selection of the 5 “On”s (On Site, On Air, Online, On Demand, and On Hand) were operated the highest which was accounted for 100%. On the other hand, the lowest current operating conditions were the readiness of learning management of parents and the creation of a conducive atmosphere for students to concentrate on their studies which were accounted for 89.90%. In addition, the study also showed that, in general, the average mean score and standard deviation of the development problem are 3.07 and 1.21, respectively. For the development guidelines, the recommendations are as follows. 1) In term of the on-site learning’s concept, method, and process, it is suggested that the students should be divided into a small group to reduce a class size. Further, an MOU with parents should be made and equipment and safety management policies should be established using the agency's budget. 2) Owing to the on-hand learning development guidelines, the study suggests that teachers should explain clearly about the worksheets to parents, choose an appropriate learning style and minimize home visits for a safety reason, and study to find methods and approaches that are appropriate for the situation. In addition, parents should record videos of reading and writing and send to teachers. Finally, the professional development of teachers should be promoted. 3) In order to promote the Thai reading and writing competence and skills, a time should be allocated for students to meet with teachers and classmates to reduce stress, the learning media and technology should be provided, the authentic measurement and assessment should be applied with the necessary indicators, the reading habit should be built, and a reading and writing competition should be organized. 4) A reading habits project, a delivery project, and a learning innovation project should be organized to develop the Thai reading and writing skills.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.349
GPT teacher head0.548
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations1
Published2023
Admission routes1
Has abstractyes

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