Adding Brain in Lectora Beauty

goodok Community Member Posts: 29
In general, ITS have proven to be the most effective tools for teaching and training. The only reason they have not become common yet is extreme complexity of their design and development. Indeed, each ITS usually represents a hardwired combination of two expert systems: a domain-under-study expert system and a pedagogic expert system.I was probably the first who have completely separated those two expert systems, and developed a domain-independent Unified Generator of Intelligent Tutoring (UGIT), which is loaded with the most effective tutoring functionality and can be easily "connected" to any specific domain-under-study. Further - more. It appeared that the domain-under-study expert system is not actually required for UGIT-based ITS. Regular eLearning content (learning activities/resources and test items) is good enough for UGIT-based Intelligent Tutoring. Especially if the content is well organized and diversified.Your authoring system Lectora represents an excellent fit. It is domain-independent, uses the best possible hierarchical organization of content, already includes metada for each content object, and able to publish courses in different formats. Due to all these reasons, it is ready for marriage with UGIT to be able (as a family) to produce a new generation of Intelligent Tutoring Courses, which are in great demand by now. Technically, the marriage ceremony would include a certain extension of your metada and embedding the metada-based tutoring engine in a run-time environment.This integration will exclude labor consuming “manual” scripting of learning/testing activities and improve authoring outcome by automatic verification of cross-consistency and cross sufficiency of created content.It will empower eLearning by automatic dynamic adaptive personal sequencing of tutoring manners (active, passive), modes (presenting, testing, diagnosing) and activities/resources (presentations, test items).