MétaCan
Menu
Back to cohort
Record W2995076146 · doi:10.5539/ies.v13n1p1

Not All Finns Think Alike: Varying Views of Assessment in Finland

2019· article· en· W2995076146 on OpenAlexvenueno aff
Ashleigh Franco

Bibliographic record

VenueInternational Education Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicStudent Assessment and Feedback
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativePsychologySocioeconomic statusPedagogyStandardized testNarrative inquiryTeacher educationMedical educationEducational assessmentMathematics educationSociologyMedicine

Abstract

fetched live from OpenAlex

Finnish students have been among the world’s strongest performers on standardized assessments throughout the past decade. Consequently, educators and scholars are interested in how to explain such results. A common explanation, as seen on social media, is that Finnish educators do not regularly assess their students. This study explores educators’ views on assessment practices in Finnish education. First, the literature on assessment practices in Finland is reviewed. Then, using narrative inquiry as a research method, Finnish educators’ views on assessment practices are examined. The research participants were two professors, two novice teachers, and two pre-service teachers, all connected to the same prominent university-based primary teacher education program in Finland. The narratives of the six participants in connection with assessment in Finland’s education system highlight the variance in opinions about international standardized assessments as well as assessment practices at the classroom and school levels. Further, participants’ narratives reveal the influence students’ socioeconomic status may have on teachers’ assessment practices.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.305
Threshold uncertainty score0.728

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 head0.132
GPT teacher head0.502
Teacher spread0.370 · 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 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

Citations8
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueInternational Education StudiesSame topicStudent Assessment and FeedbackFrench-language works237,207