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Record W3172561729 · doi:10.31703/gesr.2020(v-iii).31

Global Citizenship Education in Pakistan: Awareness, Attitude and Challenges

2020· article· en· W3172561729 on OpenAlexaboutno aff
Tahira Saddiqa, Muhammad Nadeem Anwar, Asma Khizar

Bibliographic record

VenueGlobal Educational Studies Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsGlobal citizenshipAgency (philosophy)CitizenshipCurriculumGovernment (linguistics)PerceptionPolitical scienceMedical educationDescriptive statisticsOrder (exchange)Citizenship educationPedagogyPsychologySociologyMedicineSocial sciencePoliticsBusinessLaw

Abstract

fetched live from OpenAlex

This study was attempted to analyze teacher's awareness, attitude and challenges in implementing Global Citizenship Education in Pakistan. A questionnaire was constructed and filled by teachers of ten public sector universities of Punjab. Perceptions of two hundred and thirty-five teachers were analyzed using descriptive statistics. The findings were highlighting that teachers showed a low level of awareness towards global citizenship education; however positive attitude towards global citizenship education was counted. Implementation of GCE is essential in order to prepare a civilized generation. However, there are some challenges teachers have encountered in implementing Global Citizenship Education in higher education institutions, such as inadequate environment, no provision in education police to teach it as a subject and lack of training regarding GCE. In order to promote GCE in Pakistan, the government may adopt the Canadian/USA/Australian or England roadmap or may use material and support provided by Qualifications and Curriculum Development Agency (QCA) for executing GCE.

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)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.569
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 integrity0.0000.000
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 head0.149
GPT teacher head0.476
Teacher spread0.327 · 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
GenreReview

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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