Natural language processing in systems with computer-aided knowledge testing

E. A. Miroshnichenko, P. F. Korshunov

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

Аннотация

In the sphere of distant learning computer-aided knowledge testing (CAKT) is widely used. The state of affairs in the field of CAKT systems is analyzed in the report. It is shown that widespread "elective" tests have a number of essential disadvantages. The authors offer the approach permitting to use natural language processing as one of the major CAKT components. The main idea of the approach consists in high-tech matching a student's answer with the answer template given by the instructor. In addition, text information obtained from electronic textbooks and books on the course and transformed into a semantic network can be used when evaluating. Necessary methods and algorithms were designed. The authors also offered software implementing the methods developed. This software as a subsystem can be built into the electronic textbooks, electronic courses and other CAKT systems. The results obtained allow to believe in the appropriateness of the approach for actual usage.

Язык оригиналаАнглийский
Название основной публикацииProceedings of the 7th International Scientific and Practical Conference of Students, Post-Graduates and Young Scientists: Modern Techniques and Technology, MTT 2001
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы181-185
Число страниц5
ISBN (электронное издание)0780363469, 9780780363465
DOI
СостояниеОпубликовано - 2001
Событие7th International Scientific and Practical Conference of Students, Post-Graduates and Young Scientists on Modern Techniques and Technology, MTT 2001 - Tomsk, Российская Федерация
Продолжительность: 26 фев 20012 мар 2001

Конференция

Конференция7th International Scientific and Practical Conference of Students, Post-Graduates and Young Scientists on Modern Techniques and Technology, MTT 2001
СтранаРоссийская Федерация
ГородTomsk
Период26.2.012.3.01

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Civil and Structural Engineering
  • Mechanical Engineering
  • Materials Science (miscellaneous)
  • Instrumentation
  • Education

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