Ways of improving comprehension through discourse processing for applied linguistics students

dc.contributor.authorAndreichuk, N.
dc.contributor.authorKaramysheva, I.
dc.date.accessioned2014-11-10T14:55:07Z
dc.date.available2014-11-10T14:55:07Z
dc.date.issued2006
dc.description.abstractThe field of discourse processing offers some solutions to the challenge of promoting deep comprehension during learning. The present article sketches the basic components of discourse processing mechanisms, such as constructing explanations, asking deep-reasoning questions, tutoring, and subsequently points out how such mechanisms can be recruited to improve deep comprehension of the study material. The practical mission is viewed as designing of software (both the programming and the linguistic parts), modeling the pointed out mechanisms, which is suggested to become a part of the student-teacher research work carried out in the field of Applied Linguistics.uk_UA
dc.identifier.citationAndreichuk N. Ways of improving comprehension through discourse processing for applied linguistics students / N. Andreichuk, I. Karamysheva // Computer science and information technologies: proceedings of the international conference (September 28th-30th, Lviv, Ukraine) / Lviv Polytechnic National University, Institute of Computer Science and Information Technologies. – Lviv, 2006. – P. 188–192.– Bibliography: 30 titles.uk_UA
dc.identifier.otherUDC 81.33
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/25059
dc.language.isoenuk_UA
dc.publisherУкраїнські технологіїuk_UA
dc.subjectdiscourseuk_UA
dc.subjectdiscourse processing mechanismsuk_UA
dc.subjectcomprehensionuk_UA
dc.subjectlearninguk_UA
dc.subjecteducational softwareuk_UA
dc.titleWays of improving comprehension through discourse processing for applied linguistics studentsuk_UA
dc.typeArticleuk_UA

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
54-188-192.pdf
Size:
57.08 KB
Format:
Adobe Portable Document Format
Description:
Основна стаття

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: