Modelling Record Keeping in an Undergraduate Physiology and Pharmacology Lab
Notice bibliographique
Résumé
We have observed that our students struggle to maintain proper laboratory records in our department's undergraduate thesis program. This skill is essential to attain as we prepare students for graduate work and professional programs. Therefore, when we designed a new combined Physiology and Pharmacology undergraduate lab this year, we incorporated record keeping as a component of the course evaluation. In our course design, we gamified a record keeping task to engage students in our first week of lab. We varied how we modelled our instructions prior to the game by implementing an analogy in one of our two lab sections. Although the use of analogy is a common practice in teaching, few studies have assessed the effectiveness of this type of instruction on skill acquisition and long‐term retention. We hypothesized that students exposed to the analogy would perform better on record keeping activities. Each of our two lab sections were given an interactive lecture using the same resources highlighting common errors made in lab records. One lab section was taught using the analogy of following a baking recipe during a live “cooking” show we performed, where they identified omissions of records or excessive details. The other section identified the same error types using examples of standard lab techniques. Directly following instruction, half of each section (group A) for both the analogy and standard instruction was tasked to complete a GPS‐enabled scavenger hunt using an app on their cellular phones. This scavenger hunt had four stations set up in different locations on campus where students completed basic lab skills such as pipetting, weighing, and labelling tubes. Group A students were instructed to maintain a record of their activity throughout the exercise based on the lecture just provided. Upon completion, these records were passed to the remaining students (group B) who were asked to follow them to replicate the exercise without the use of the GPS instructions, if possible. Upon completion of the game, group B students rated the effectiveness of the lab records provided by group A on a five point Likert scale for each station. Subsequently, instructors evaluated record accuracy. Using an unpaired t‐test, we found no significant differences in student perception of the effectiveness of written records between the baking analogy and standard instruction groups (p> 0.25). There was also no significant difference in the accuracy of the records between either lab section. However, we may observe long‐term differences in students' ability to maintain records once these are analyzed at the end of the academic year. Our current data are consistent with a study by Podolefsky & Finkelstein (2006) who showed no significant differences on a post‐test question after using an analogy to teach electromagnetic waves in a large undergraduate physics class. Some studies suggest that students may fail to understand a concept due to the inability to see the limitations of the analogy. Our students may have had difficulties transferring the analogy to the record keeping concept being taught. Alternatively, the exposure to a single analogy may not be robust enough to be effective in immediate skill acquisition. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».