Full Seminar Details

Ruben Lagatie

KU Leuven, Belgium

 Ruben Lagatie
Automatic generation of personalized tutorial feedback in e-learning
This event took place on Wednesday 22 September 2010 at 11:30

We are arguably in the midst of a transition from traditional classroom learning (c-learning) to electronic and mostly individual learning (e-learning). One of the problems we are facing today is that feedback given automatically by a computer is much more limited and often less helpful than feedback provided by a teacher. For exercise types with limited input possibilities, like multiple choice questions, the teacher is asked to enter feedback for all possible wrong answers. Once we make use of more open question, such as a translate exercise, this is no longer feasible. The student can make any grammar, spelling, translation or style error and for a number of different reasons. Current state-of-the-art solutions use language specific parsers in combination with spellcheckers to provide corrections and feedback. They are however very hard to construct and although their precision is acceptable, they often lack in recall. What we are planning to do is develop a system that can compare errors and reuse feedback messages from the past. To accomplish this, we make use of natural language processing (such as part-of-speech tagging and corpus linguistics) and machine learning techniques (classification, clustering, etc.). Combining linguistics, statistics, computer science and pedagogy, a truly interdisciplinary undertaking.

(Due to unforeseen circumstances we were unable to record or webcast this event, we apologise to those who were otherwise unable to attend this event in person)

Watch the webcast replay >>


Senior Research Fellow

Knowledge Media Institute (KMi)
£49,772 to £55,998
Based in Milton Keynes
Permanent position

The post is intended to strengthen the Open University’s Knowledge Media Institute (KMi) international research reputation and in particular we are interested in candidates who can pursue a robust and innovative research agenda in one or more of...


Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support


If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team