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Record W2948333772 · doi:10.25316/ir-6205

What are the perceptions of teachers in India regarding positive teacher-student relationships as a protective factor for the mental health of students?

2019· dissertation· en· W2948333772 on OpenAlexfundno aff
Roopan Khangura

Bibliographic record

VenueVIURRSpace (Vancouver Island University) · 2019
Typedissertation
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsnot available
FundersVancouver Island University
KeywordsMental healthPerceptionPsychologyMathematics educationFactor (programming language)Student teacherMedical educationPedagogyMedicineTeacher educationPsychiatryComputer science

Abstract

fetched live from OpenAlex

Positive Teacher-Student Relationship (TSR) is one of the major protective factors for the mental health of the students and is the most significant factor in the social, emotional and academic development of the young ones. This factor has been researched and by many researchers in different parts of the world, but I found no studies done in India regarding this subject. In the current study, I took the opportunity to examine the perceptions of teachers in India regarding positive outcomes of positive TSRs and the different barriers they are facing in building good relationships with their students. I chose qualitative approach and questionnaire survey with open-ended questions as a tool to collect the perceptions of total 30 teacher participants from one school in Chandigarh and one school in Jalandhar city of state Punjab in India. Findings indicated that teachers do perceive positive Teacher-Student Relationships as a major factor for the social, emotional and academic development which leads to the good mental health in students, but they have mentioned potential barriers they are facing in building good relationships with students in classroom.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score0.747

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 science0.0010.000
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 head0.019
GPT teacher head0.339
Teacher spread0.320 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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