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.
Preliminaries.- Relevant Technologies.- Deillegalscriptive and Preillegalscriptive Learning Theories.- PAIGOS.- General Principles.- Course Generation in Practice: Formalized Scenarios.- Implementation and Integration.- Evaluation.- Conclusions.- Related Work.- Future Work and Acknowledgments.
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.
From the reviews:
"Ullrich describes the PAIGOS tutoring system and its evaluation. He refers to it as a course generation system because it generates a `personal book´ for the learner, based on the learner´s profile. PAIGOS is built on many recent innovations, including educational resources reachable through the WWW, the ActiveMath environment ... . The methodology of PAIGOS ... is flexible enough for instructional materials to be built according to any teaching approach. ... PAIGOS is also evaluated ... to generate courses for subjects other than mathematics." (D. L. Chester, ACM Computing Reviews, February, 2009)
This book focuses on course generation based on Hierarchical Task Network planning (HTN planning). It describes basic techniques for course generation, which are used to formalize seven different types of courses and several elementary learning goals.
From the reviews:
"Ullrich describes the PAIGOS tutoring system and its evaluation. He refers to it as a course generation system because it generates a 'personal book' for the learner, based on the learner's profile. PAIGOS is built on many recent innovations, including educational resources reachable through the WWW, the ActiveMath environment ... . The methodology of PAIGOS ... is flexible enough for instructional materials to be built according to any teaching approach. ... PAIGOS is also evaluated ... to generate courses for subjects other than mathematics." (D. L. Chester, ACM Computing Reviews, February, 2009)
Inhaltsverzeichnis
Preliminaries.- Relevant Technologies.- Deillegalscriptive and Preillegalscriptive Learning Theories.- PAIGOS.- General Principles.- Course Generation in Practice: Formalized Scenarios.- Implementation and Integration.- Evaluation.- Conclusions.- Related Work.- Future Work and Acknowledgments.
Klappentext
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.
Includes supplementary material: sn.pub/extras
