The case for conditional rules and actions in learning management systems: Towards intelligent learning management systems
Faculty of Computing, Health and Science
School of Computer and Security Science
This paper examines the design and development involved with creating Intelligent Learning Management Systems. By designing flexible data structures it should be inherently possible to allow objects representing any type of knowledge to be stored within a Learning Management System. Using data framing methods, these knowledge objects can be broken down into extremely small properties and attributes that can in turn be accessed by rule-systems that can make decisions based on a value property of a knowledge object. By encapsulating this structure in a web-driven user interface, LMS users should be able to define an object of any type and associate a rule or series of rules to that object, the rules using the object's properties for condition (IF...THEN) processing. By creating predefined actions, the system can call an action to perform some sort of function should a condition within a rule be met or not met. The paper in general states that current LMS systems rely too heavily on fixed functionality, leading in some cases to the restriction of individualized teaching methods.