Literature DB >> 15755539

Designing high-quality interactive multimedia learning modules.

Camillan Huang1.   

Abstract

Modern research has broadened scientific knowledge and revealed the interdisciplinary nature of the sciences. For today's students, this advance translates to learning a more diverse range of concepts, usually in less time, and without supporting resources. Students can benefit from technology-enhanced learning supplements that unify concepts and are delivered on-demand over the Internet. Such supplements, like imaging informatics databases, serve as innovative references for biomedical information, but could improve their interaction interfaces to support learning. With information from these digital datasets, multimedia learning tools can be designed to transform learning into an active process where students can visualize relationships over time, interact with dynamic content, and immediately test their knowledge. This approach bridges knowledge gaps, fosters conceptual understanding, and builds problem-solving and critical thinking skills-all essential components to informatics training for science and medicine. Additional benefits include cost-free access and ease of dissemination over the Internet or CD-ROM. However, current methods for the design of multimedia learning modules are not standardized and lack strong instructional design. Pressure from administrators at the top and students from the bottom are pushing faculty to use modern technology to address the learning needs and expectations of contemporary students. Yet, faculty lack adequate support and training to adopt this new approach. So how can faculty learn to create educational multimedia materials for their students? This paper provides guidelines on best practices in educational multimedia design, derived from the Virtual Labs Project at Stanford University. The development of a multimedia module consists of five phases: (1) understand the learning problem and the users needs; (2) design the content to harness the enabling technologies; (3) build multimedia materials with web style standards and human factors principles; (4) user testing; (5) evaluate and improve design.

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Year:  2005        PMID: 15755539     DOI: 10.1016/j.compmedimag.2004.09.017

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  7 in total

1.  A new dynamic 3D virtual methodology for teaching the mechanics of atrial septation as seen in the human heart.

Authors:  Jean-Marc Schleich; Jean-Louis Dillenseger; Lucile Houyel; Claude Almange; Robert H Anderson
Journal:  Anat Sci Educ       Date:  2009 Mar-Apr       Impact factor: 5.958

2.  Interpreting three-dimensional structures from two-dimensional images: a web-based interactive 3D teaching model of surgical liver anatomy.

Authors:  Jodi L Crossingham; Jodie Jenkinson; Nick Woolridge; Steven Gallinger; Gordon A Tait; Carol-Anne E Moulton
Journal:  HPB (Oxford)       Date:  2009-09       Impact factor: 3.647

3.  Biosafety Capacity Building During the COVID-19 Pandemic: Results, Insights, and Lessons Learned from an Online Approach in the Philippines.

Authors:  Rohani Cena-Navarro; Rodel Jonathan Vitor; Reynand Jay Canoy; Angelo Dela Tonga; Gianne Eduard Ulanday; Mary Rose Claire Silva; Raul V Destura
Journal:  Appl Biosaf       Date:  2022-03-15

4.  Designing and assessing fixed dental prostheses 2 multimedia-based education in dentistry students.

Authors:  Yousef Jahandideh; Leila Roohi Balasi; Bardia Vadiati Saberi; Ideh Dadgaran
Journal:  Med J Islam Repub Iran       Date:  2016-12-20

5.  Investigation of a Stand-Alone Online Learning Module for Cellular Respiration Instruction.

Authors:  Eric E Goff; Katie M Reindl; Christina Johnson; Phillip McClean; Erika G Offerdahl; Noah L Schroeder; Alan R White
Journal:  J Microbiol Biol Educ       Date:  2018-06-29

6.  WebEase: development of a Web-based epilepsy self-management intervention.

Authors:  Colleen DiIorio; Cam Escoffery; Katherine A Yeager; Frances McCarty; Thomas R Henry; Archana Koganti; Elizabeth Reisinger; Elise Robinson; Rosemarie Kobau; Patricia Price
Journal:  Prev Chronic Dis       Date:  2008-12-15       Impact factor: 2.830

7.  Efficacy of a Meiosis Learning Module Developed for the Virtual Cell Animation Collection.

Authors:  Eric E Goff; Katie M Reindl; Christina Johnson; Phillip McClean; Erika G Offerdahl; Noah L Schroeder; Alan R White
Journal:  CBE Life Sci Educ       Date:  2017       Impact factor: 3.325

  7 in total

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