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Performance, Preference, and Perception in Experiential Learning Assessment

2018· article· en· W2892959400 on OpenAlexaffvenue
Jay Wilson, Thomas Yates, Kendra Purton

Bibliographic record

VenueThe Canadian Journal for the Scholarship of Teaching and Learning · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsExperiential learningPsychologyPerceptionPresentation (obstetrics)PreferenceMathematics educationPedagogyMedicine

Abstract

fetched live from OpenAlex

A pilot study was conducted to explore student preferences, performance, and perceptions of experiential learning assessment following experiential learning instruction. A learning experience, using semi-directed instruction and experiential learning methods, was given to 13 student volunteers who were then assessed using a case study, presentation, journal, and essay, representing both group and individual assessment. Student performance in terms of their understanding and their engagement was compared to student perceptions and preferences. Student performance indicated that although the journal (individual assessment) appeared to be the best venue for students to express their understanding, they were the least engaged in it. The case study and the presentation (group assessments) were most preferred overall and students also perceived these to be the best forms of assessment in a number of aspects (helpful, beneficial, engaging, challenging, etc.). It is possible that the collaborative nature of the group assessments matched the teaching style suggesting that the mode of assessment should follow a similar format to the learning experience in courses that use experiential learning methods. The essay, as a traditional form of assessment, was valued for its structure, possibly reflecting student familiarity with that type of assessment, but less so overall because it was also an individual exercise. Each assessment method used in the pilot demonstrated value, albeit in different forms and this finding speaks to assessing both authentically and using a mixture of methods. Une étude pilote a été réalisée afin d’explorer les préférences, la performance et les perceptions des étudiants concernant l’évaluation de l’apprentissage par l’expérience à la suite d’un enseignement par l’expérience. Une expérience d’apprentissage, faisant appel à un enseignement semi-dirigé et à des méthodes d’apprentissage par l’expérience, a été offerte à 13 étudiants bénévoles qui ont ensuite été évalués par le biais d’une étude de cas, d’une présentation, d’un journal et d’un essai, représentant à la fois l’évaluation de groupe et l’évaluation individuelle. La performance des étudiants en ce qui concerne leur compréhension et leur participation a été comparée à leurs perceptions et à leurs préférences. La performance des étudiants indique que bien que le journal (évaluation individuelle) semble être le meilleur moyen pour les étudiants d’exprimer leur compréhension, c’est ce qui les faisaient participer le moins. L’étude de cas et les présentations (évaluation de groupe) étaient ce que les étudiants avaient en général préféré et que les étudiants considéraient comme les meilleurs formes d’évaluation, et ce pour plusieurs raisons (utile, bénéfique, engageant, stimulant, etc.). Il est possible que la nature collaboratrice des évaluations de groupe corresponde au style d’enseignement, ce qui suggère que le moyen employé pour l’évaluation devrait suivre un format semblable à l’expérience d’apprentissage dans les cours où l’on emploie des méthodes d’enseignement par l’expérience. L’essai en tant que forme traditionnelle d’évaluation a été apprécié pour sa structure et parce qu’il pouvait refléter la familiarité des étudiants avec ce type d’évaluation, mais il a été moins apprécié en général du fait qu’il s’agissait d’un exercice individuel. Chaque méthode d’évaluation employée dans cette étude pilote a présenté une certaine valeur, bien que sous différentes formes, et ces résultats indiquent qu’il est utile d’évaluer à la fois de façon authentique et par un mélange de méthodes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.056
GPT teacher head0.347
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), 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".

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Citations11
Published2018
Admission routes2
Has abstractyes

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