KFU. Card publication. Self-education Competence of Future Teachers: Diagnosing by Computer Analyses of Student Essays

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

SELF-EDUCATION COMPETENCE OF FUTURE TEACHERS: DIAGNOSING BY COMPUTER ANALYSES OF STUDENT ESSAYS

Form of presentation

Articles in international journals and collections

Year of publication

2023

��

��

Authors, employees of KFU

Galimova Elvira Gabdelbarovna, author

Other authors

Khalmetov Timur A., author

Mulikova Saltanat A., author

Bibliographic description in the original language

Galimova E.G, Mulikova S.A, Khalmetov T.A., Self-education Competence of Future Teachers: Diagnosing by Computer Analyses of Student Essays//ACM International Conference Proceeding Series. - 2023. - Vol., Is.. - P.92-96.

Annotation

Our research is aimed at finding adequate ways to diagnose selfeducation competence of future teachers. Writing a prognostic essay, revealing students' positions, was chosen as the final diagnosis in their training. This research consists of the development and testing of diagnostic tools and the diagnosis of self-education competence of future teachers by means of a computer analysis of student essays. The fundamental basis of this study is predictive and didactic in nature. The leading research methods were the following: a theoretical analysis of the essence, structure and main features of future teacher's self-education competence, technical and technological methods of designing computer analytical tools for the content analysis of essays (with the elements of formalization and intellectual analysis of text documents), methods of expert systems (used to solve the problem of choosing and systematizing marker words), experimental pedagogical methods (including a pilot experiment and formative assessment). The research involved students of the Institute of Psychology and Education of Kazan Federal University: 263 students - at the stage of the pilot study, 134 students – at the stage of the formative assessment (the participants are enrolled on the program 44.04.01 – Teacher Education (Master's). At the stage of the formative assessment, using the final essay content analysis, tables with the results of diagnosis of motivationalvalue, reflective-evaluative, and cognitive-activity components of self-education competence were created. A reflective comparison of the results of student essays computer analysis and own assessment of self-education competence provided data for the further improvement of diagnostic tools. Statistical data processing provides results of the self-education competence both of an individual student and groups, cohorts, and all students of a specific training program. The development of self-education competence allows a person to obtain the required authority in the field of education, to preserve and increase his/her competence in solving professional problems. The materials of the experiment made it possible to systematize the key words prevailing in student essays and combine them into the basic blocks of markers. Presence and occurrence frequency of these markers in a certain part of the analyzed text indicates a certain development level of self-education competence. The materials presented in the article describe the proposed tools for content analysis, which is built on the basis of specially grouped marker words, can be used in pedagogical practices. A free-form essay is digitized which allows us to quantitatively assess the given components of subject's self-education competence.

Keywords

self-education competence, components of self-education competence, content analysis, marker words

The name of the journal

ACM International Conference Proceeding Series

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163620052&doi=10.1145%2f3591139.3591144&partnerID=40&md5=46033a8a7c6aaa9bd3162df9971033dc

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

https://repository.kpfu.ru/eng/?p_id=286441&p_lang=2

Resource files

File name	Size (MB)	Format
iceds2023_5.pdf	0,46	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Galimova Elvira Gabdelbarovna	ru_RU
dc.contributor.author	Khalmetov Timur A.	ru_RU
dc.contributor.author	Mulikova Saltanat A.	ru_RU
dc.date.accessioned	2023-01-01T00:00:00Z	ru_RU
dc.date.available	2023-01-01T00:00:00Z	ru_RU
dc.date.issued	2023	ru_RU
dc.identifier.citation	Galimova E.G, Mulikova S.A, Khalmetov T.A., Self-education Competence of Future Teachers: Diagnosing by Computer Analyses of Student Essays//ACM International Conference Proceeding Series. - 2023. - Vol., Is.. - P.92-96.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=286441&p_lang=2	ru_RU
dc.description.abstract	ACM International Conference Proceeding Series	ru_RU
dc.description.abstract	Our research is aimed at finding adequate ways to diagnose selfeducation competence of future teachers. Writing a prognostic essay, revealing students' positions, was chosen as the final diagnosis in their training. This research consists of the development and testing of diagnostic tools and the diagnosis of self-education competence of future teachers by means of a computer analysis of student essays. The fundamental basis of this study is predictive and didactic in nature. The leading research methods were the following: a theoretical analysis of the essence, structure and main features of future teacher's self-education competence, technical and technological methods of designing computer analytical tools for the content analysis of essays (with the elements of formalization and intellectual analysis of text documents), methods of expert systems (used to solve the problem of choosing and systematizing marker words), experimental pedagogical methods (including a pilot experiment and formative assessment). The research involved students of the Institute of Psychology and Education of Kazan Federal University: 263 students - at the stage of the pilot study, 134 students – at the stage of the formative assessment (the participants are enrolled on the program 44.04.01 – Teacher Education (Master's). At the stage of the formative assessment, using the final essay content analysis, tables with the results of diagnosis of motivationalvalue, reflective-evaluative, and cognitive-activity components of self-education competence were created. A reflective comparison of the results of student essays computer analysis and own assessment of self-education competence provided data for the further improvement of diagnostic tools. Statistical data processing provides results of the self-education competence both of an individual student and groups, cohorts, and all students of a specific training program. The development of self-education competence allows a person to obtain the required authority in the field of education, to preserve and increase his/her competence in solving professional problems. The materials of the experiment made it possible to systematize the key words prevailing in student essays and combine them into the basic blocks of markers. Presence and occurrence frequency of these markers in a certain part of the analyzed text indicates a certain development level of self-education competence. The materials presented in the article describe the proposed tools for content analysis, which is built on the basis of specially grouped marker words, can be used in pedagogical practices. A free-form essay is digitized which allows us to quantitatively assess the given components of subject's self-education competence.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	self-education competence	ru_RU
dc.subject	components of self-education competence	ru_RU
dc.subject	content analysis	ru_RU
dc.subject	marker words	ru_RU
dc.title	Self-education Competence of Future Teachers: Diagnosing by Computer Analyses of Student Essays	ru_RU
dc.type	Articles in international journals and collections	ru_RU