KFU. Card publication. Experimental prototype of the pragmatically oriented e-assessment algorithm for automatic natural language answer grading

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EXPERIMENTAL PROTOTYPE OF THE PRAGMATICALLY ORIENTED E-ASSESSMENT ALGORITHM FOR AUTOMATIC NATURAL LANGUAGE ANSWER GRADING

Form of presentation

Articles in international journals and collections

Year of publication

2020

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Authors, employees of KFU

Prokopev Nikolay Arkadevich, author

Bibliographic description in the original language

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.

Annotation

12th annual International Conference on Education and New Learning Technologies (EDULEARN 2020)

Keywords

natural language processing, nlp, e-assessment, automated assessment, e-learning, automatic answer grading

The name of the journal

12th annual International Conference on Education and New Learning Technologies (EDULEARN 2020)

URL

https://library.iated.org/view/SULEYMANOV2020EXP

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=241698&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Prokopev Nikolay Arkadevich	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/eng/?p_id=241698&p_lang=2	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	Articles in international journals and collections	ru_RU