Modelling of e-learning processes: an approach used in Plovdiv e-university
CompSysTech '04 Proceedings of the 5th international conference on Computer systems and technologies
Accumulative question types in e-learning environment
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
SIETTE: A Web-Based Tool for Adaptive Testing
International Journal of Artificial Intelligence in Education
Adaptive e-learning system based on accumulative digital activities in revised Bloom's taxonomy
Proceedings of the 13th International Conference on Computer Systems and Technologies
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Generating different tests' versions to satisfy the needs of different users is one of the biggest challenges that e-learning systems designers are faced with. This research deals with the basic elements of Computer Adaptive Tests (CAT) construction, as a way to resolve the abovementioned issue. Test generation has two main components: a calibrated bank of questions and an algorithm, which determines the start and end point of the test, and the sequence of the test items given to the users. The current method of creating the components of the test generation process is based on two main pillars: accumulation of the test items and Revised Bloom's Taxonomy (RBT). It allows the test items' level of difficulty to be automatically determined, according to the cognitive level in RBT and the bank of questions to be calibrated in every moment of the testing. The above described method is realized in BEST e-learning system.