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Students’ Perceptions of the Effectiveness of Assessment Feedback as a Learning Tool in an Introductory Problem-solving Course

2012· article· en· W2122914175 on OpenAlexaffvenue
Lynn Randall, Pierre Zundel

Bibliographic record

VenueThe Canadian Journal for the Scholarship of Teaching and Learning · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicStudent Assessment and Feedback
Canadian institutionsUniversity of SudburyUniversity of New Brunswick
Fundersnot available
KeywordsFormative assessmentSummative assessmentPedagogyMathematics educationDocumentationPsychologyComputer science

Abstract

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There have been calls in the literature for reforms to assessment to enhance student learning (Shepard, 2000). In many instances, this refers to the need to move from traditional assessment procedures that are characterized as content-heavy, summative, and norm-referenced approaches to more constructivist and student-centred approaches, often characterized as more “…flexible, integrative, contextualized, process oriented, criteria referenced and formative” (Ellery, 2008, p. 421). Whereas summative assessment techniques rarely allow students to act on the feedback provided, formative feedback provided throughout the learning process can be used to improve future work and promote learning (Ellery, 2008; Higgins, Hartley & Skelton, 2002) by providing students an opportunity to learn from mistakes. Allowing students to learn from their mistakes makes good pedagogical sense. To date there has been little research examining students’ use of feedback (Higgins, Hartley, and Skelton, 2002). In an effort to begin to add to the literature in this area, this paper describes a study that explored the effectiveness of oral and written formative feedback when students were provided the opportunity to use it. The paper begins by reviewing literature related to assessment and how assessment relates to feedback in general. It then presents what the research has found in relation to students’ perspectives of effective feedback and how they use it. The paper ends by presenting the results and discussion. La documentation fait état de demandes de réforme de l’évaluation pour améliorer l’apprentissage des étudiants (Shepard, 2000). Dans plusieurs cas, cela traduit le besoin de passer des procédures d’évaluation traditionnelles caractérisées par la lourdeur de leur contenu, par leur aspect sommatif et par leurs approches normatives à des approches plus constructivistes et centrées sur les étudiants, souvent qualifiées de plus « ... souples, intégratives, contextualisées, axées sur les processus, balisées par des critères et formatives » (Ellery, 2008, p. 421). Alors que les techniques d’évaluation sommative permettent rarement aux étudiants de se conformer à la rétroaction fournie, la rétroaction formative tout au long du processus d’apprentissage peut être utilisée pour améliorer les travaux futurs et favoriser l’apprentissage (Ellery, 2008; Higgins, Hartley et Skelton, 2002) en donnant l’occasion aux étudiants d’apprendre de leurs erreurs. Sur le plan pédagogique, permettre aux étudiants d’apprendre de leurs erreurs a du sens. À ce jour, il y a eu peu de recherche sur l’utilisation que font les étudiants de la rétroaction (Higgins, Hartley et Skelton, 2002). Le présent article se veut un ajout à la documentation dans ce domaine. Ses auteurs décrivent une étude qui porte sur l’efficacité de la rétroaction formative orale et écrite lorsque les étudiants ont eu l’occasion de l’utiliser subséquemment. Les auteurs commencent par une analyse de la documentation sur l’évaluation et sur les liens généraux entre cette dernière et la rétroaction. Ils présentent ensuite les résultats de recherche liée aux perspectives des étudiants sur la rétroaction efficace et sur l’utilisation qu’ils en font. Enfin, ils terminent par une présentation des résultats et par une discussion.

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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)0.037
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0370.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
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 head0.028
GPT teacher head0.374
Teacher spread0.347 · 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

Citations13
Published2012
Admission routes2
Has abstractyes

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Same venueThe Canadian Journal for the Scholarship of Teaching and LearningSame topicStudent Assessment and FeedbackFrench-language works237,207