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Record W4220873500 · doi:10.5539/hes.v12n2p20

Area-Based Participatory Action Learning of Social Studies Pre-service Teachers to Develop Indigenous History Learning Resources for Diversity Students in Northern Thailand

2022· article· en· W4220873500 on OpenAlexvenueno aff
Charin Mangkhang

Bibliographic record

VenueHigher Education Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousParticipatory action researchAction researchSociologyTraditional knowledgeCitizen journalismDiversity (politics)PedagogyAnthropologyPolitical science

Abstract

fetched live from OpenAlex

The research aimed to 1) study the needs in developing indigenous history for diversity students in Northern Thailand, 2) develop indigenous history learning resources for diversity students in Northern Thailand through area-based participatory action learning of social studies pre-service teachers, and 3) distill learned lessons obtained from developing indigenous history learning resources through area-based participatory action learning of social studies pre-service teachers for diversity students in Northern Thailand. The methodology of the research was based on Participatory Action Research (PAR). The sample in the research consisted of 1) community leaders, monks, school administrators, folk philosophers, and youth representatives accounting for 22 people; 2) 10 social studies pre-service teachers; 3) 8 indigenous mural painters, making a total of 40 people. The instruments used in the research were 1) unstructured interview forms, 2) forms of synthesizing knowledge to moral creativity, 3) validity assessment forms of indigenous history data, and 4) focus group discussion recording forms. Qualitative data was analyzed based on content analysis and the presentation was in the form of descriptive analysis. Study results revealed that: 1) From the area-based action on the legend of Viang Malika and Phra Nang Malika from history in the educational sandbox of Chiang Mai province, it was found that the community has demand in terms of developing learning resources telling its indigenous history through the temple which is the common area in the community. The demand is to present indigenous history which is part of the historical development of the Lanna Kingdom in terms of business, politics, administration, education, religions, and the environment including women's roles as governesses or kings. This shows feminist concepts appearing on the page of indigenous history and reflects equality in stepping over physical limitations of the body (disability). The frame limiting gender is destroyed through the history of leaders and kings in indigenous history has influenced the development of the history of the historical development of the Thai local society up to the present time. 2) Developing indigenous history learning resources through area-based participatory action learning of social studies pre-service teachers for diverse students in Northern Thailand has brought about indigenous history learning resources integrating cooperation between universities, communities, temples, and schools. Indigenous history learning resources have been brought about, which helps promote quality learning management. And 3) From distilling learned lessons obtained from developing indigenous history learning resources through area-based participatory action learning of social studies pre-service teachers for diversity students in Northern Thailand, the important social studies competency of social studies pre-service teachers for 4 aspects were found. This is called the competency of area-based social studies learning or so-called "VCAP" consisting of 1) Value Domain, 2) Cognitive Domain 3) Affective Domain and 4) Psychomotor Domain, which helps promote occupational competency of pre-service teachers to be more efficient.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.319
GPT teacher head0.455
Teacher spread0.136 · 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

Citations11
Published2022
Admission routes1
Has abstractyes

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