Simulation of computer adaptive learning and improved algorithm of pyramidal testing
| Autor: | Svitlana Sachenko, Taras Lendyuk, Sergey Rippa |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Computer science
business.industry Algorithmic learning theory Knowledge level Distance education Machine learning computer.software_genre Robot learning Item response theory Path (graph theory) ComputingMilieux_COMPUTERSANDEDUCATION Adaptive learning Computerized adaptive testing Artificial intelligence business computer |
| Zdroj: | IDAACS |
| DOI: | 10.1109/idaacs.2013.6663028 |
| Popis: | In this paper the realization of computer adaptive testing using mathematical-statistical tools of Item Response Theory is considered. It is aimed for knowledge level quick determination of full-time students and distance educations students, and to identify gaps in their knowledge. The goal of computer adaptive testing is a student knowledge assessment. But mainly it is making recommendations for adaptive learning system to individual learning path construction. Such system can be used in within LMS as well as for students self-training. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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