Digital Competence Profiles in Education

Author:

Vilyavin D. A.1,Komleva N. V.2,Mamedova N. A.2,Urintsov A. I.2

Affiliation:

1. Skolopendra LLC

2. Plekhanov Russian University of Economics

Abstract

Purpose of research. The trend of personalization of learning forms a demand for the development and implementation of software tools for processing the digital footprint of the learner, to manage his/her educational trajectory. In combination with decentralized identification technologies, such software tools assume a more active role of the learner in the creation of his/her personal learning trajectory. Additional challenges for the developed software tools are the functional requirement to ensure the independence of learner profile data from individual educational services, while at the same time complying with the standards of information security of working with data. The purpose of this research is to expand the understanding of the possibility of modifying online learning by including distributed solutions in the field of information technology application in education.Materials and methods. The paper describes in detail the solutions developed by the authors for software implementation of a digital profile of learner's competencies - a decentralized application designed to store data of learning activity and confirmed qualifications aggregated from various external educational platforms and services. When forming these solutions, the authors proceeded from the advantages of using a decentralized approach to software development. The methodological basis of the research is represented by a set of approaches and technologies that support the logic of the software development process - distributed registry technology, digital identification approach, credentials storage standard.Results. The authors substantiate the choice of solution for software implementation of digital competence profile: SSI approach will provide decentralized identification of digital footprint data beyond the boundaries of individual educational platforms and services; application of the standard of verifiable VC credentials will create conditions for decentralized storage of learning activity data. The results of the study may be of practical interest for the administration of domestic educational organizations, administration of educational platforms and educational services implementing online learning programs for effective and secure management of each individual student's digital footprint data, creating an individual educational trajectory in his/her interests and confirming competencies.Conclusion. Implementation and scaling of the digital competence profile are aimed at ensuring the identification, safe storage, and effective management of the learner's digital footprint data, which can be used to create an individual learning trajectory. The digital competence profile will allow to realize the function of confirming any forms of activity, the nature of interaction of the learner with the functions of the educational service, as well as allow the learner to control and manage the use of the information placed in the digital profile. As part of the whole, the digital profile is considered in the overall architecture of the information system, which implies the interaction of the software application with other subsystems, including in the structure of the educational platform. The scheme of interaction demonstrated for the digital educational platform “Digital Tutor” developed at the Plekhanov Russian University of Economics. Additional research requires tools for controlling the activity and motivation of the learner to formalize his/her active role in the issues of personal learning trajectory management.

Publisher

Plekhanov Russian University of Economics (PRUE)

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference20 articles.

1. Bandura A. Teoriya sotsial'nogo naucheniya = Social learning theory. Saint Petersburg: Yevraziya; 2000. 318 p. (In Russ.)

2. Demin A.N., Demina I.V. The problem of human adaptation to the speed of social processes. Chelovecheskiy capital = Human capital. 2020; 10(142): 80–88. DOI: 10.25629/HC.2020.10.05. (In Russ.)

3. Marginson S. Research on international and global higher education: Six different perspectives. Oxford Review of Education. 2022; 48(4); 421–438. DOI: 10.1080/03054985.2022.2087619.

4. Fdhila W., Stifter N., Kostal K., Saglam C., Sabadello M. Methods for decentralized identities: evaluation and insights. Business process management: blockchain and robotic process automation forum. BPM 2021. Lecture Notes in Business Information Processing. 2021. DOI: 10.1007/978-3-030-85867-4_9.

5. Rek P., Podgorelec B., Turkanović M. Complexity analysis of decentralized application development using integration tools [Internet]. Proceedings of the SQAMIA. 2019. Available from: https://ceur-ws.org/Vol-2508/paper-rek.pdf.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3