| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2020 |
| Язык | английский |
|
Прокопьев Николай Аркадьевич, автор
|
| Библиографическое описание на языке оригинала |
Dzh. Suleymanov, N. Prokopyev (2020) Experimental prototype of the pragmatically oriented e-assessment algorithm for automatic natural language answer grading, EDULEARN20 Proceedings, pp. 1917-1924. |
| Аннотация |
12th annual International Conference on Education and New Learning Technologies (EDULEARN 2020) |
| Ключевые слова |
natural language processing, nlp, e-assessment, automated assessment, e-learning, automatic answer grading |
| Название журнала |
12th annual International Conference on Education and New Learning Technologies (EDULEARN 2020)
|
| URL |
https://library.iated.org/view/SULEYMANOV2020EXP |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=241698 |
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Прокопьев Николай Аркадьевич |
ru_RU |
| dc.date.accessioned |
2020-01-01T00:00:00Z |
ru_RU |
| dc.date.available |
2020-01-01T00:00:00Z |
ru_RU |
| dc.date.issued |
2020 |
ru_RU |
| dc.identifier.citation |
Dzh. Suleymanov, N. Prokopyev (2020) Experimental prototype of the pragmatically oriented e-assessment algorithm for automatic natural language answer grading, EDULEARN20 Proceedings, pp. 1917-1924. |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/?p_id=241698 |
ru_RU |
| dc.description.abstract |
12th annual International Conference on Education and New Learning Technologies (EDULEARN 2020) |
ru_RU |
| dc.description.abstract |
Automated knowledge assessment is an important component of e-Learning systems to ensure effective management of the learning process. As a rule, in modern e-learning systems, the evaluation of the learner's knowledge is carried out through testing - through choosing the right variant from the set of presented answers. It is obvious, that multiple-choice tests can't provide full evaluation of learner's knowledge, thereafter, they do not provide a flexible and qualitative management of training. Thus, it is increasingly important problem to implement an e-Assessment system featuring support of answers that are freely formulated in natural language. An analysis of the most recent publications indicates that automated assessment of natural language QA-texts remains weakly developed in modern e-Learning systems. In this paper an experimental prototype of e-Assessment system featuring automated evaluation of natural language answers is presented. The theoretical model presented by D. Suleymanov is used for develop of answer processor component. An experiment on implemented prototype of the system was conducted to acquire the data needed for further development of algorithm for analysis of natural language QA-texts within the e-Learning system. Experiment results and conclusions are presented. |
ru_RU |
| dc.language.iso |
ru |
ru_RU |
| dc.subject |
natural language processing |
ru_RU |
| dc.subject |
nlp |
ru_RU |
| dc.subject |
e-assessment |
ru_RU |
| dc.subject |
automated assessment |
ru_RU |
| dc.subject |
e-learning |
ru_RU |
| dc.subject |
automatic answer grading |
ru_RU |
| dc.title |
Experimental prototype of the pragmatically oriented e-assessment algorithm for automatic natural language answer grading |
ru_RU |
| dc.type |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
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