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Record W4244696859 · doi:10.24124/2015/bpgub1662

Formative assessment strategies used in the University of Northern British Columbia School of Education

2015· dissertation· en· W4244696859 on OpenAlexfundaboutno aff
Emem Umoh Eka

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicStudent Assessment and Feedback
Canadian institutionsnot available
FundersUniversity of Northern British Columbia
KeywordsFormative assessmentMedical educationKnowledge surveyPsychologyQualitative researchPhenomenology (philosophy)PedagogyMathematics educationSummative assessmentSociologyMedicine

Abstract

fetched live from OpenAlex

This study explores the perspectives of professors and instructors using formative assessment strategies in the classroom. A qualitative phenomenology was used to utilize the data from nine (n=9) questionnaires and three (n=3) in-depth semi-structured interviews with UNBC School of Education professors and instructors. The questionnaire and the interview questions regarding the use of formative assessment strategies were drafted based on the strategies identified by Black and Wiliam (1998). The findings from the questionnaire revealed that professors and instructors were aware of the purpose of assessment, the importance of student-focused assessment, and the various ways of implementing formative assessment. Additionally, the interviews showed that professors and instructors were aware of the importance and impact of formative assessment when implemented in teaching and learning, which, in turn, could move students' learning forward by providing effective and continuous feedback. The findings from this research can increase understanding of assessment in post-secondary settings and may benefit educators who implement formative assessment practices, through continuous and regular professional development (Brancato, 2003). --Leaf ii.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.348
Teacher spread0.328 · 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 designObservational
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
Published2015
Admission routes2
Has abstractyes

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