Educational Data Mining: a Case Study

In this paper, we show how using data mining algorithms can help discovering pedagogically relevant knowledge contained in databases obtained from Web-based educational systems. These findings can be used both to help teachers with managing their class, understand their students’ learning and reflect on their teaching and to support learner reflection and provide proactive feedback to learners.

• Type: Conference
• Year: 2005
• Where: AIED
• Authors: Agathe Merceron, Kalina Yacef
• Keywords: AIED 2005, Artificial Intelligence, Data Mining Algorithms, Relevant Knowledge, Web-based Educational Systems