Abstract: Perhaps the most efficient of modern didactic policies is e-learning course. E-education shapes the culture of life-long learning and teaching and enables contemporary learners to meet the requirements of the outward reality. Learning is a daunting and time-consuming task. Its final success depends on many factors, so it’s crucial to choose the proper enhancing software, able to adapt the teaching process to an individual learner and able to verify and assess his improvement in learning. According to the Ebbinghausen forgetting curves, reasonably frequent revisions give student both the knowledge and methods of its consolidation: as a result he learns more efficiently. Hence, the salient part of our e-learning system is the neural network able to establish the best possible timetable of revisions. The e-learning system we provide pertains to the knowledge of the Polish orthography. By means of it we have proved, that e-learning is didactically effective only if the educational software is interactive and flexible enough to adjust itself to the user’s needs, requirements and perceptional skills.

Keywords: e-learning, neural network, forgetting curve

ACM Classification Keywords: I.2.6 Artificial Intelligence- Learning

Link:

THE E-LEARNING SYSTEM WITH EMBEDDED NEURAL NETWORK

Anna Plichta

http://foibg.com/ibs_isc/ibs-24/ibs-24-p12.pdf