The Lecomps5 Framework for Personalized Web-Based Learning: a Teacher’s Satisfaction Perspective

Adaptive web-based educational systems provide learners with personalized courses, where learning material is delivered to learners taking into account their personal learning needs, learning styles and learning progresses. In this paper we show the Lecomps5 system, a didactic framework, supporting the automated production and adaptation of personalized courses, implemented in the Lecomps5 system. In particular, this framework was designed in order to address the teacher’s satisfaction issue, arising in many systems that are quite demanding in terms of the teacher’s work and range of activities. Lecomps5 allows the teacher, through a simple and intuitive didactic tool, to define learning material, specify its characteristics pertaining to personalization and define, to some extent, the didactic strategies to be applied. In order to support both the management of learning material and the automated construction of personalized courses, the system embeds a planner, based on Linear Temporal Logic. The selection of learning material, its sequencing, and the delivery of courses, is performed according to both learners’ initial and run-time knowledge and learning styles. The teacher can focus more on her didactic tasks and preferences rather than on the available authoring tools, and spend less time to generate courses. Finally we show encouraging results from experimentation we conducted to test the system from a teacher’s point of view.