Title
Learning object and dynamic e-learning service technologies for simulation-based medical instruction
Abstract
Simulations are increasingly used for instruction and training purposes in many application areas such as commercial and military aviation, battlefield management, building construction, product manufacturing, medical education and others. However, most simulation systems are monolithic, ad hoc and non-reusable. In this work, we apply learning object and e-learning service technologies to modularize an existing Web-based simulation system called the Virtual Anesthesia Machine (VAM). Instructional materials associated with the components of the simulation system are encapsulated as reusable Atomic Learning Objects, each of which consists of content items, practice items, assessment items, meta-information and constraints. Instructional materials associated with the entire simulation system is modeled as a Composite Learning Object having a structure of activities, which is used by a Learning Process Execution Engine to enact the process of delivering contents, instructing learners to use the simulation system for practice on what they learn, and performing assessment to evaluate the performances of learners in learning the functions and operations of the simulation system and its components. An event-trigger-rule server is used in an event-driven, rule-based execution of a learning process to make the learning process active, adaptive, customizable and flexible.
Year
DOI
Venue
2005
10.1007/11581116_17
WISE Workshops
Keywords
Field
DocType
dynamic e-learning service technology,simulation system,simulation-based medical instruction,instructional material,entire simulation system,assessment item,existing web-based simulation system,learning process execution engine,reusable atomic learning objects,composite learning object,virtual anesthesia machine,practice item,rule based,medical education,building construction,web based simulation
Information system,Virtual machine,Active learning (machine learning),Computer science,Learning object,Artificial intelligence,Knowledge base,Web service,Multimedia,Database,Instructional simulation,Personalization
Conference
Volume
ISSN
ISBN
3807
0302-9743
3-540-30018-X
Citations 
PageRank 
References 
1
0.36
2
Authors
3
Name
Order
Citations
PageRank
Stanley Y. W. Su116221403.92
Gilliean Lee282.72
Samsun (Sem) Lampotang3162.95