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Record W3092569680 · doi:10.5539/hes.v10n4p25

Values and Dispositions of Omani Novice Teachers as Perceived by School Principals and Assistant Principals

2020· article· en· W3092569680 on OpenAlexvenueno aff
Fawzia Al Seyabi

Bibliographic record

VenueHigher Education Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyChristian ministryFlexibility (engineering)ConversationPedagogyAffect (linguistics)Mathematics educationPolitical scienceManagement

Abstract

fetched live from OpenAlex

Equipping teacher candidates with values and dispositions has become an important part of the conversation about effective teaching and teacher preparation programs are increasingly expected to integrate dispositions in their agenda. The purpose of the present study is two-folded. It aims at investigating the kind of dispositions of novice Omani teachers as perceived by school principals and assistant principals. It also aims to identify the type of factors that affect the shaping of novice teachers’ dispositions/values. Interviews were conducted with ten school principals and five assistant principals from various public schools in two different directorates of education in Oman. Data of the interviews were analyzed qualitatively by identifying the most emerging themes in terms of the most and least developed dispositions as well as factors shaping them. Findings revealed that dispositions related to ambition and flexibility were highly observed among novice teachers while dispositions related to sense of belonging and commitment and responsibility were less observed. The study also showed that there was a range of factors shaping the development of novice teachers dispositions ranging from broader macro factors such as how the society views a teacher and the appointment situation in Oman to more micro institutional factors such as the huge demands of the job and the type and level of support that schools provide to novice teachers. The paper makes recommendations relevant to both teacher preparation programs and the Ministry of Education.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.409
Threshold uncertainty score0.387

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 head0.054
GPT teacher head0.397
Teacher spread0.343 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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