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Record W3161754782 · doi:10.3968/12015

Moroccan EFL Secondary School Teachers’ Current Practices and Challenges of Formative Assessment

2021· article· en· W3161754782 on OpenAlexvenueno aff
Abdallah Ghaicha, Youssef Oufela

Bibliographic record

VenueCanadian social science · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicStudent Assessment and Feedback
Canadian institutionsnot available
Fundersnot available
KeywordsFormative assessmentMathematics educationPsychologyPedagogyMedical educationMedicine

Abstract

fetched live from OpenAlex

This study aims at achieving two fundamental objectives: (1) exploring the extent to which Moroccan EFL secondary school teachers apply questioning, teacher feedback, peer-assessment and self-assessment as forms of formative assessment, and (2) identifying the micro and macro challenges that render the effective utility of formative assessment difficult. Despite the theoretical prominence of formative assessment, it has not been adequately addressed by research in Morocco. Therefore, exploring formative assessment practices might lead to a great understanding of what practices Moroccan EFL secondary school teachers frequently draw on to assess learners formatively. Following an explanatory sequential mixed-method design, the present study has gathered data from 98 EFL secondary school teachers using both questionnaires and semi-structured interviews. The most important results reveal that not all formative assessment practices are frequently employed and that teachers experience a number of contextual, institutional and pedagogical challenges. The results obtained from this study are vital to different stakeholders: practitioners, teacher trainers, decision makers, researchers and teachers as well.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.725
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.067
GPT teacher head0.402
Teacher spread0.335 · 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.

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

Citations6
Published2021
Admission routes1
Has abstractyes

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