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Record W2906731263 · doi:10.5539/jel.v8n1p65

Service Learning in Early Childhood Education: In the Class of Curriculum Design and Practice

2018· article· en· W2906731263 on OpenAlexvenueno aff
Mei-Ling Chuang

Bibliographic record

VenueJournal of Education and Learning · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyService-learningTeamworkCurriculumMedical educationClass (philosophy)Interpersonal communicationQualitative researchPedagogyQualitative propertyMathematics educationMedicineSociologySocial psychology

Abstract

fetched live from OpenAlex

Qualitative and quantitative research was conducted with undergraduate students majoring in early childhood care and education to explore the impact of service-learning on personal and professional development, as well as to assess satisfaction with the service-learning project. The data were gathered at a baby care center, where these students arranged games, through a questionnaire given to the students (N=37), a questionnaire given to parents who came with their children to the center (N=34), as well as reflection paper and report by the students on how they felt about the activity. The qualitative data were analyzed from five different aspects: (1). Enhancing students’ academic knowledge and skills, (2). Learning public service from the activity, (3). Cooperation and teamwork, (4) Benefits for children, (5) Suggestions of students afterwards. The findings of this research demonstrated that this service learning experience was beneficial for children, parents and the students, enhancing students’ academic knowledge, problem solving skills, as well as interpersonal development.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score0.540

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.351
Teacher spread0.322 · 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 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

Citations4
Published2018
Admission routes1
Has abstractyes

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