透過您的圖書館登入
IP:3.145.171.58
  • 學位論文

相容於物聯網之醫療教學平台之設計實作

Design and Implementation of IoT-enabled Mobile E-Learning Platform for Medical Education

指導教授 : 林風
共同指導教授 : 連琬菁(Wan-Ching Lien)
若您是本文的作者,可授權文章由華藝線上圖書館中協助推廣。

摘要


隨著資訊科技的快速發展,線上學習在十年內快速發展。線上學習適合用於遠距教學,同時在管理教材方面也比傳統課程具有彈性。然而,線上學習存在著許多挑戰。像是零碎的學習時間以及學習教材的單一化。 為了解決這些挑戰,我們提出了相容於物聯網之教學平台的設計,透過特殊的設計來改進學習的效果並且提供更有效的教材管理。本論文將針對實作的方式與採用的協定等方面做詳細的介紹,並且已實作出一個雛型系統用於國立臺灣大學醫學院附設醫院急診部做教學使用。

並列摘要


With the rapid growth and development of the information and communication technologies, E-learning has evolved quickly over the past decade. E-learning is suitable for distance education because of its flexibility of managing the learning materials. There are still challenges in E-learning, such as the static learning materials and the fragmented learning time. In this thesis, we propose an IoT-enabled mobile E-learning platform to enhance the performance of a learning process (i.e., assembling of fragmented learning time for a trainee) and the efficiency of learning material management. The informatics framework and implementation methodology for the proposed platform is described in the paper. The proposed platform has been used in the emergency department of National Taiwan University Hospital (NTUH) for training junior ultrasound physicians.

參考文獻


[2] Marc J. Rosenberg. E-Learning: Strategies for Delivering Knowledge in the Digital
[4] A. Gluhak, S. Krco, M. Nati, D. Pfisterer, N. Mitton, and T. Razafindralambo. A survey on facilities for experimental internet of things research. Communications Magazine, IEEE, 49(11):58–67, November 2011.
[5] Sishir Rao, Lodewijk van Holsbeeck, Joseph L Musial, Alton Parker, J Antonio Bouffard, Patrick Bridge, Matt Jackson, and Scott A Dulchavsky. A pilot study of comprehensive ultrasound education at the wayne state university school of medicine a pioneer year review. Journal of Ultrasound in Medicine, 27(5):745–749, 2008.
[6] D. Dagger, A. O’Connor, S. Lawless, E. Walsh, and V.P. Wade. Service-oriented e-learning platforms: From monolithic systems to flexible services. Internet Computing, IEEE, 11(3):28–35, May 2007.
[7] G.P. Jain, V.P. Gurupur, J.L. Schroeder, and E.D. Faulkenberry. Artificial intelligence-based student learning evaluation: A concept map-based approach for analyzing a student´s understanding of a topic. Learning Technologies, IEEE Transactions on, 7(3):267–279, July 2014.

延伸閱讀