Virtual Self-learning Modules Integrating Pharmacology Concepts into a Geriatric Elective

被引:0
|
作者
Laurel Gorman
Andrea Berry
Mariana Dangiolo
机构
[1] University Central Florida College of Medicine,Dept. Medical Education
[2] University Central Florida College of Medicine,Office of Faculty Life
[3] University Central Florida College of Medicine,Dept. Internal Medicine
来源
Medical Science Educator | 2021年 / 31卷
关键词
E-learning; Blended learning; Pharmacology education; Geriatrics; Vertical integration; Basic science-clerkship integration;
D O I
暂无
中图分类号
学科分类号
摘要
Given barriers to vertical integration during clinical rotations, many struggle with employing effective virtual strategies to revisit foundational sciences during clerkship. To address this, we developed virtual geriatric pharmacology self-learning modules (SLMs) for a fourth-year geriatric elective using cases, interactive exercises, resources, feedback, and quizzes. To evaluate effectiveness, learners were administered a pre- and post-elective quiz with survey. Learners improved performance after using SLMs, valued pharmacology clerkship integration and reinforcement, and agreed SLMs improved understanding, confidence, and attitudes. Thus, SLMs were an effective virtual method for integrating pharmacology that could be modified to teach other foundational sciences during clerkships.
引用
下载
收藏
页码:1767 / 1772
页数:5
相关论文
共 50 条
  • [41] TOWARDS A VIRTUAL FRAMEWORK FOR BILINGUAL SELF-LEARNING IN SUBJETS RELATED TO ATMOSPHERIC PHYSICS FOR THE DEGREES IN PHYSICS AND ENVIRONMENTAL SCIENCES
    Guerrero-Rascado, J. L.
    Fernandez-Galvez, J.
    Sanchez-Canete, E. P.
    Fernandez, A.
    Kowalski, A. S.
    Foyo-Moreno, I.
    Olmo, F. J.
    Jeronimo, J. A.
    Alados-Arboledas, L.
    EDULEARN13: 5TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES, 2013, : 5234 - 5241
  • [42] Harvard Geriatric Education Center evaluation model for self-study on-line learning modules.
    Kovacich, J
    Weaver, S
    JOURNAL OF THE AMERICAN GERIATRICS SOCIETY, 2005, 53 (04) : S141 - S142
  • [43] Adaptation and Evaluation of Online Self-learning Modules to Teach Critical Appraisal and Evidence-Based Practice in Nursing An International Collaboration
    Gagnon, Johanne
    Gagnon, Marie-Pierre
    Buteau, Rose-Anne
    Azizah, Ginette Mbourou
    Jette, Sylvie
    Lampron, Amelie
    Simonyan, David
    Asua, Jose
    Reviriego, Eva
    CIN-COMPUTERS INFORMATICS NURSING, 2015, 33 (07) : 285 - 294
  • [44] Self-Learning MTPA Control of Interior Permanent-Magnet Synchronous Machine Drives Based on Virtual Signal Injection
    Sun, Tianfu
    Wang, Jiabin
    Koc, Mikail
    Chen, Xiao
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2016, 52 (04) : 3062 - 3070
  • [45] Virtual Platforms and University Teaching Innovation: Affordance of a Self-learning Guide in Anthropology to Work with Intervention Skills in Contexts of Diversity
    Olmos Alcaraz, Antonia
    Martinez Chicon, Raquel
    RED-REVISTA DE EDUCACION A DISTANCIA, 2014, (42):
  • [46] Experienced Registered Nurses' Satisfaction With Using Self-Learning Modules Versus Traditional Lecture/Discussion to Achieve Competency Goals During Hospital Orientation
    Carcich, Grace M.
    Rafti, Karen R.
    JOURNAL FOR NURSES IN PROFESSIONAL DEVELOPMENT, 2007, 23 (05) : 214 - 220
  • [47] Effective Motion Self-Learning Genre Using 360° Virtual Reality Content on Mobile Device: A Study Based on Taichi Training Platform
    Wang, Lutong
    Gai, Wei
    Jiang, Nan
    Chen, Gongxiang
    Bian, Yulong
    Luan, Hongqiu
    Huang, Li
    Yang, Chenglei
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 28 (06) : 3695 - 3708
  • [48] Methodenausbildung im digitalen Zeitalter: Neue Daten, Projektseminare und SelbstlernmoduleTeaching Methods in the Digital Era: New Data, Project Seminars, and Self-learning Modules
    Holger Döring
    Phillip Hocks
    Politische Vierteljahresschrift, 2021, 62 (1) : 1 - 17
  • [49] A novel self-learning weighted fuzzy local information clustering algorithm integrating local and non-local spatial information for noise image segmentation
    Song, Qiuyu
    Wu, Chengmao
    Tian, Xiaoping
    Song, Yue
    Guo, Xiaokang
    APPLIED INTELLIGENCE, 2022, 52 (06) : 6376 - 6397
  • [50] A novel self-learning weighted fuzzy local information clustering algorithm integrating local and non-local spatial information for noise image segmentation
    Qiuyu Song
    Chengmao Wu
    Xiaoping Tian
    Yue Song
    Xiaokang Guo
    Applied Intelligence, 2022, 52 : 6376 - 6397