Transforming Teaching And Learning Using Tablet Pcs ? A Panel Discussion Using Tablet Pcs
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Notice bibliographique
Résumé
Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Transforming Teaching and Learning using Tablet PCs A Panel Discussion using Tablet PCs Abstract This panel discussion will highlight emerging best practices in the use of Tablet PCs to transform teaching and improve student success in college and university STEM (science, technology, engineering, math) courses. Faculty from two institutions, Colorado School of Mines and Rose- Hulman, will share their experience in using Tablet PCs and describe their approach to measuring the impact of their course redesign on student outcomes, sharing the evidence that supports their redesign efforts. Presenters will then lead a panel discussion with all the session’s presenters and the audience. The discussion will be facilitated by the use of Tablet PCs that are provided to the audience. The audience will use the Tablet PCs to access a free InkSurvey website to ask questions and respond to the panelists. This will model some of the ways that faculty have used Tablet PCs in their own classrooms to facilitate dialog and obtain instant, graphical feedback from students. Through this session, the audience will become participants and experience first-hand some of the innovations that are improving student achievement and engagement. This includes going beyond using classroom response “clickers” that are limited to multiple choice question types to using graphical feedback systems to ask open-ended questions that elicit underlying conceptual understanding and student misconceptions Colorado School of Mines At the Colorado School of Mines, Tablet PCs are used in junior-level engineering physics classes to promote active learning and facilitate real-time communication between instructors and students. We have developed InkSurvey, a web-based tool that allows instructors to pose open- ended questions to the students. Each student uses a Tablet PC to construct and submit a response, which can be text, free-formdrawings, graphs, equations, etc. The instructor can monitor these responses as they are submitted, providing an opportunity to offer solution hints and prepare a thoughtful response. Frank Kowalski will describe how this active learning experience promotes student metacognition and enables real-time feedback that can effectively guide the instructor in modifying or validating student understanding. InkSurvey can easily be used in conjunction with other computer-based or internet-based learning activities, such as applets. Significant learning gains, as evidenced by comparison of pre- and post-test scores, have been documented in classes at Colorado School of Mines.1
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 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 découle