OPUS One: An Intelligent Adaptive Learning Environment Using Artificial Intelligence Support
Attilio Pedrazzoli, Sio-Iong Ao · AIP conference proceedings · 2010
AI based Tutoring and Learning Path Adaptation are well known concepts in e‐Learning scenarios today and increasingly applied in modern learning environments. In order to gain more flexibility and to enhance existing e‐learning platforms, the OPUS One LMS Extension package will enable a generic Intelligent Tutored Adaptive Learning Environment, based on a holistic Multidimensional Instructional Design Model (PENTHA ID Model), allowing AI based tutoring and adaptation functionality to existing Web‐based e‐learning systems. Relying on “real time” adapted profiles, it allows content‐ / course authors to apply a dynamic course design, supporting tutored, collaborative sessions and activities, as suggested by modern pedagogy. The concept presented combines a personalized level of surveillance, learning activity‐ and learning path adaptation suggestions to ensure the students learning motivation and learning success. The OPUS One concept allows to implement an advanced tutoring approach combining “expert based” e‐tutoring with the more “personal” human tutoring function. It supplies the “Human Tutor” with precise, extended course activity data and “adaptation” suggestions based on predefined subject matter rules. The concept architecture is modular allowing a personalized platform configuration.