Student-oriented planning of e-learning contents for Moodle

• Personalize learning paths by integrating AI planning techniques in Moodle.
• Mapping from Moodle׳s e-learning to a standard PDDL formalism.
• Adapt Moodle׳s visualization to offer each student his/her particular contents.
• A transparent way to monitor the students׳ progress and re-plan when necessary.
• Analysis of experimental results that prove the scalability of our approach.

We present a way to automatically plan student-oriented learning contents in Moodle. Rather than offering the same contents for all students, we provide personalized contents according to the students׳ background and learning objectives. Although curriculum personalization can be faced in several ways, we focus on artificial intelligence (AI) planning as a very useful formalism for mapping actions, i.e. learning contents, in terms of preconditions (precedence relationships) and causal effects to find plans, i.e. learning paths that best fit the needs of each student. A key feature is that the learning path is generated and shown in Moodle in a seamless way for both the teacher and student, respectively. We also include some experimental results to demonstrate the scalability and viability of our approach.