Digital development trajectory as a tool for improving the quality of education
The present article proposes an approach to using students’ digital development trajectories to improve the quality of education. Designing a digital development trajectory has a positive effect on students’ motivation and active participation in deciding on its formation. The goal of the study is t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2021-01-01
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| Series: | SHS Web of Conferences |
| Subjects: | |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2021/09/shsconf_ec2020_05010.pdf |
| _version_ | 1818617111796252672 |
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| author | Kupriyanov Roman Semenov Alexei Kondratiev Vladimir Nikulina Polina |
| author_facet | Kupriyanov Roman Semenov Alexei Kondratiev Vladimir Nikulina Polina |
| author_sort | Kupriyanov Roman |
| collection | DOAJ |
| description | The present article proposes an approach to using students’ digital development trajectories to improve the quality of education. Designing a digital development trajectory has a positive effect on students’ motivation and active participation in deciding on its formation. The goal of the study is to create a conception of using methods and approaches of educational data mining and machine learning in analyzing and predicting digital development trajectories to improve the educational process quality. Implementation of learning management systems with the opportunity to dynamically track students’ academic performance allows timely correcting gaps appearing in students’ knowledge and thereby reducing the risk of them falling behind in their study group. Recording the obtained results of completed assignments and interactions with learning management systems also benefits teachers who get an opportunity to receive feedback in an implicit form and account for gaps appearing in the curriculum in a processed and aggregated form. The analysis is conducted based on a database of additional education in a primary school (grades 1-3). The present study examines several scenarios of using a digital development trajectory in education including students’ progress in an academic performance trajectory based on their grades, a trajectory in terms of time spent on solving problems to determine their complexity, and a heatmap for determining problematic areas and weak spots in each teacher’s educational course. Based on educational data from a learning management system, the authors present a set of recommendations for teachers on the adaptation of their educational course to students’ abilities promoting the increase of the overall quality of education. |
| first_indexed | 2024-12-16T17:00:30Z |
| format | Article |
| id | doaj.art-cb181b5bf0e248e09e32fde307c7bdbf |
| institution | Directory Open Access Journal |
| issn | 2261-2424 |
| language | English |
| last_indexed | 2024-12-16T17:00:30Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | SHS Web of Conferences |
| spelling | doaj.art-cb181b5bf0e248e09e32fde307c7bdbf2022-12-21T22:23:45ZengEDP SciencesSHS Web of Conferences2261-24242021-01-01980501010.1051/shsconf/20219805010shsconf_ec2020_05010Digital development trajectory as a tool for improving the quality of educationKupriyanov Roman0Semenov AlexeiKondratiev Vladimir1Nikulina Polina2Moscow City University, IT DepartmentNational Research University Higher School of Economics, Institute of Education, Department of Educational ProgramsUniversity of Sydney, Institutional Analytics and Data ScienceThe present article proposes an approach to using students’ digital development trajectories to improve the quality of education. Designing a digital development trajectory has a positive effect on students’ motivation and active participation in deciding on its formation. The goal of the study is to create a conception of using methods and approaches of educational data mining and machine learning in analyzing and predicting digital development trajectories to improve the educational process quality. Implementation of learning management systems with the opportunity to dynamically track students’ academic performance allows timely correcting gaps appearing in students’ knowledge and thereby reducing the risk of them falling behind in their study group. Recording the obtained results of completed assignments and interactions with learning management systems also benefits teachers who get an opportunity to receive feedback in an implicit form and account for gaps appearing in the curriculum in a processed and aggregated form. The analysis is conducted based on a database of additional education in a primary school (grades 1-3). The present study examines several scenarios of using a digital development trajectory in education including students’ progress in an academic performance trajectory based on their grades, a trajectory in terms of time spent on solving problems to determine their complexity, and a heatmap for determining problematic areas and weak spots in each teacher’s educational course. Based on educational data from a learning management system, the authors present a set of recommendations for teachers on the adaptation of their educational course to students’ abilities promoting the increase of the overall quality of education.https://www.shs-conferences.org/articles/shsconf/pdf/2021/09/shsconf_ec2020_05010.pdfpersonal trajectorydata-driven education managementelectronic portfolioeducational data mining |
| spellingShingle | Kupriyanov Roman Semenov Alexei Kondratiev Vladimir Nikulina Polina Digital development trajectory as a tool for improving the quality of education SHS Web of Conferences personal trajectory data-driven education management electronic portfolio educational data mining |
| title | Digital development trajectory as a tool for improving the quality of education |
| title_full | Digital development trajectory as a tool for improving the quality of education |
| title_fullStr | Digital development trajectory as a tool for improving the quality of education |
| title_full_unstemmed | Digital development trajectory as a tool for improving the quality of education |
| title_short | Digital development trajectory as a tool for improving the quality of education |
| title_sort | digital development trajectory as a tool for improving the quality of education |
| topic | personal trajectory data-driven education management electronic portfolio educational data mining |
| url | https://www.shs-conferences.org/articles/shsconf/pdf/2021/09/shsconf_ec2020_05010.pdf |
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