A personalized feedback system to support teacher training

An augmented lecture feedback system to support learner and teacher communication

Automatic system for the detection and analysis of errors to support the personalized feedback

The study of errors in learning and the search for patterns to explain their causes have always been of great interest to researchers and educators alike. Mistakes are a constant in students’ solutions to mathematical problems and are inseparable from the learning process. It is essential, then, to diagnose and address the mistakes made by students so as to allow them to reflect on their errors...

An Ontological Approach to Support Personalized E-Learning System

Learners who use educational applications need to get suitable learning material in their concerned domain. However, their level of knowledge, preferences and interests are different. The e-learning system should be able to deliver suitable learning materials based on learner’s preferences and knowledge. The solution is knowledge based personalized model-driven approach. The learner-model and d...

Grading, no longer an obstacle to learners’ attendance to teacher feedback

Learners are often reported not to be motivated enough to attend to teacher feedback. Teachers also  tend  to  grade  learners’  writing  samples  when  providing  them  with  corrective  feedback though  they  know  it  may  divert  their  attention  away  from  teacher  feedback.  However,  not grading learner writings does not seem to be an option due to both learners’ demands for it and ins...

Teacher Training, Teacher Quality, and Student Achievement

We study the effects of various types of education and training on the ability of teachers to promote student achievement. Previous studies on the subject have been hampered by inadequate measures of teacher training and difficulties addressing the non-random selection of teachers to students and of teachers to training. We address these issues by estimating models that include detailed measure...