MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1097/jpa.0000000000000795

Медицинская библиотека · The journal of physician assistant education : the official journal of the Physician Assistant Education Association · 2026

Lessons Learned: Teaching Smarter, Not Harder Through Artificial Intelligence in Instruction.

Hoffmann Chelsey, Allen Jennifer

СтатьяПеревод в очереди

Аннотация

INTRODUCTION

Discussions surrounding the use of artificial intelligence (AI) in higher education remain highly prevalent, with most attention focused on how students using AI both within and external to the classroom. Comparatively less attention has been directed toward how educators can leverage AI to enhance teaching and instructional design.

METHODS

Drawing on educator experiences with AI integration into instructional practice, supplemented by a review of the existing literature, this article sought to identify key strategies for effective incorporation of AI into teaching and curriculum development.

RESULTS

Four key lessons emerged regarding the integration of AI into educational practice: (1) enhancing content design, (2) optimizing curricula, (3) facilitating the development of active learning activities, and (4) maintaining human oversight to ensure responsible and ethical use.

DISCUSSION: Artificial intelligence has significant potential to improve instructional efficiency and support educational innovation. However, educators remain ultimately responsible for critically evaluating AI-generated content, ensuring its accuracy, and applying these tools in an ethical manner.

Для цитирования: Hoffmann Chelsey, Allen Jennifer. Lessons Learned: Teaching Smarter, Not Harder Through Artificial Intelligence in Instruction.. The journal of physician assistant education : the official journal of the Physician Assistant Education Association. 2026. DOI: 10.1097/jpa.0000000000000795.
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.