Notice bibliographique
Résumé
Policy writing is an effective skill that history instructors should teach their students for life after their undergraduate degree. This article proposes that instructors encourage their students to learn policy writing through experiential learning practices. In particular, it advocates for the use of live simulations in the undergraduate history classroom that emphasize policy writing solutions. In this case, the collaboration between historians and librarians is demonstrative of effective historical analysis and fundamental research practices. This article uses a third-year history course in Canadian External Relations as the primary example to share this model. In a simulation, upper-year students are situated within a particular historical event and are tasked to complete a group-based action memorandum writing exercise during a timed in-class period. This simulation policy writing exercise gives students first-hand experience working collaboratively with one another in a political decision-making setting. The simulation can be supplemented with an independent writing assignment that also emphasizes policy writing, such as an action memorandum or a briefing note, in place of the traditional history research paper. This article examines a Canadian history simulation which situates students within the Canadian Department of External Affairs during the Suez crisis. It demonstrates the enhancement of student learning through a practice-based, hands-on approach, that requires collaboration and semester-long learning. The simulation challenges students to act and resolve the scenario at hand. Policy writing is the process by which “government employees and non-governmental organizations create written documents for lawmakers and policy professionals to read.” Policy documents can be a variety of lengths, ranging from short-briefings to lengthy reports.[1]In the course model proposed in this article, students learn policy writing while they also continue to develop valuable history-related skills such as creativity, research, analysis, and critical-thinking. Victor Asal has argued that “the best way to get educational mileage out of a simulation is to treat it as an interactive case where learning takes place before, during, and after the simulation.”[2]Assigning an independent policy writing assignment in addition to the simulation has significant benefits for student learning. [1]Andrew Pennock, “The Case for Using Policy Writing in Undergraduate Political Science Courses,” PS: Political Science and Politics 44.1 (2011): 141. [2]Victor Asal, “Playing Games with International Relations,” International Studies Perspectives 6 (2005): 362.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,032 | 0,081 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».