Automatic course generation is a very important area of research
with numerous practical applications in e-learning. It has been
studied since the 1980s within the fields of intelligent tutoring,
AI and education, adaptive hypermedia and web-based educational
systems. Many approaches have been proposed, but hardly any have
resulted in generic and practically applied systems. A number of
problems have remained unresolved. These problems are addressed by
this work.
This book focuses on course generation based on Hierarchical
Task Network planning (HTN planning). This course generation
framework enables the formalization and application of complex and
realistic pedagogical knowledge. The volume describes basic
techniques for course generation, which are used to formalize seven
different types of courses (for instance, introducing the learner
to previously unknown concepts and supporting the learner during
rehearsal) and several elementary learning goals (e.g., selecting
an appropriate example or exercise). This framework has been
implemented and evaluated with good results in several domains,
with users from different countries and universities, in the
context of an EU project.
Course generation based on HTN planning is implemented in PAIGOS
and has been evaluated by technical, formative and summative
evaluations.
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