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Record W3116455001 · doi:10.5539/hes.v11n1p55

Opinions of Pre-Service Classroom Teachers about Academic Controversy Method

2020· article· en· W3116455001 on OpenAlexvenueno aff
Aşkın Baydar

Bibliographic record

VenueHigher Education Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsnot available
Fundersnot available
KeywordsClass (philosophy)PsychologyMathematics educationAction researchClassroom managementQualitative researchTeaching methodAcademic yearProfessional developmentTeacher educationPedagogyControl (management)Social studiesSociologyComputer science

Abstract

fetched live from OpenAlex

The aim of this study is to determine the opinions of pre-service classroom teachers about academic controversy, from the cooperative learning methods, implemented in social studies teaching course. Using the action research pattern from the qualitative research approaches, the study group for the research comprised 42 preservice teachers in third year attending the primary education department in a state university. Research data were collected from preservice teachers with an interview form asking open-ended questions Responses of preservice teachers to the questions included opinions about the positive and negative aspects of the academic controversy method; whether they would apply this method in future classes and why; and about the contribution of the method to social and individual development of students. Opinions of preservice teachers after implementing the method in the class environment were that the academic controversy method was fun and beneficial for peer teaching; increased in-class interaction, retention of knowledge and self-confidence; ensured effective participation in class, active learning and conflict management; provided democracy education, directed research, taught respect for differences, provided a multidimensional perspective, and reduced the need for authority; and that it developed self-control, self-expression, decision-making and problem-solving skills. Additionally, criticisms mentioned by preservice teachers included causing noise in the classroom, not being appropriate for all class levels, lessons or topics, being difficult to implement in crowded classrooms and that the duration was not sufficient for the implementation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.573
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.094
GPT teacher head0.467
Teacher spread0.372 · 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 designNot applicable
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

Citations3
Published2020
Admission routes1
Has abstractyes

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