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Record W4322208039 · doi:10.1080/09650792.2023.2183875

Action research with projects to facilitate students to study research and prepare research proposals during the Covid-19 pandemic

2023· article· en· W4322208039 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEducational Action Research · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology-Enhanced Education Studies
Canadian institutionsEncana (Canada)
FundersResearch and Development
KeywordsAction researchCompetence (human resources)PsychologyCoronavirus disease 2019 (COVID-19)Mathematics educationPandemicMedical educationPedagogyMedicine

Abstract

fetched live from OpenAlex

Knowledge and skills in the field of research are key requirements for the successful completion of studies for students, including prospective teachers. However, the outbreak of the COVID-19 coronavirus has made it difficult for students to conduct research in the usual ways. This study aims to apply project-based learning through action research to teach students educational research methods and to help them prepare research plans that are adaptive to classroom situations. This is achieved through the provision of learning resources to teach research theory, followed by the implementation of action research to write research proposals and evaluations of learning outcomes. Learning resources were systematically arranged to support online learning to teach research methods, and effective action research led students to learn actively and develop educational research plans. Competence in the field of research was achieved. Student learning outcomes sequentially for assignment scores (M = 88.38 ± 3.00), final project scores (M = 88.20 ± 3.55), and posttest (M = 92.06 ± 2.17) were all high. Project-based learning is shown to be effective in guiding students to learn actively by utilizing available learning resources. It motivates students to learn independently and can be applied to achieve competency targets in both normal and abnormal learning situations, such as those experienced during the COVID-19 pandemic.

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.

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)0.067
metaresearch head score (Gemma)0.027
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0670.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.019
Science and technology studies0.0160.003
Scholarly communication0.0010.000
Open science0.0020.002
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.002

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 head0.790
GPT teacher head0.674
Teacher spread0.116 · 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