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Editorial: Speaking the language of diagrams, or How to correctly visualise data in a scientific paper?

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  Digital Object Identifier (DOI): 10.26907/esd.20.1.01
  Volume Number: 20 | Issue Number: 1 | Pages: 6 - 8
  Published: March 2025
  Article Author(s) - listed alphabetically: Aydar Kalimullin, Tatiana Baklashova
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Nowadays we live in a world full of data, that surrounds us everywhere. Data helps us to test hypotheses, recognise patterns, and make discoveries, whether it is primitive or complex; heterogeneous or homogeneous (Larose & Larose, 2014). Research and data are intertwined. They are interconnected with the most important stages of academic pursuit, i.e., collection and analysis of information. The data analysis is designed to recognise the patterns and achieve clarity in the phenomenon under study.
Data plays a specific role in any science. In education, for instance, it helps to enhance the quality of teaching (Bienkowski et al., 2012). Personalisation of education becomes more accessible. Qualitative and quantitative metrics of a student’s academic progress and preferences allow teachers to choose the content, tempo, and methods of teaching, depending on the student’s individual needs. Moreover, those metrics provide the means for the academic progress prognosis, and, when in university, academic attrition. The content, namely, the educational programme can be improved with the help of the gathered data. A collection of learning assessment materials can be updated to ensure the quality of education. The data is also significant in the management of an educational institution. The administration is able to track the finances, plan the budget, and effectively coordinate the whole system on the basis of the data. Likewise, it is interconnected with innovations in education, helping in the development of new online courses, e-textbooks, and apps focused on ensuring availability and learning efficiency.
Working with data implies its visual representation. There are many guidelines and papers on the graphical representation of the data (Maaten & Hinton, 2008; Glazer, 2011; Yau, 2024). The most significant aspects will be covered hereinafter.

Further Reading

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E&SD 20(1) March 2025  

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Journal Information

Publisher

Education and Self Development (E&SD) is published by Kazan Federal University (KFU)
See http://kpfu.ru/eng

Contact

"Education and Self Development"
Office 59, 1 Mezhlauk Street
Kazan 420021
Russia Federation

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ISSN

ISSN 1991-7740

Frequency of Publication

E&SD publishes four print issues each year. It was established in June 2006

Impact Factor and Ranking

The Journal has been accepted for inclusion in Scopus and is applying for inclusion in Web of Science. At present it has not established an impact factor or ranking but these will be forthcoming.

Open Access

E&SD is an online, open access journal fully funded by Kazan Federal University. The Journal is a signatory to the Budapest Open Access Initiative and is committed to ensuring that all of the articles we publish are freely available. Articles are available to all without charge, and there are no article processing charges (APCs) for authors.

Scope Statement

Available here…

Article Keywords

assessment bibliometric analysis blended learning communication competence Covid-19 creativity critical thinking distance learning education educational environment educational process educational standard evaluation foreign language future teachers higher education identity inclusive education lifelong learning model motivation multicultural education non-formal education pedagogy personality professional competence professional development professional orientation psychological safety quality quality of education reading comprehension reflection self-assessment self-development students teacher teacher education teacher professional development teachers teacher training training upbringing values

Article Authors

Albina R. Drozdikova-Zaripova Alena Hašková Andreja Istenic Starcic Andreja Istenič Anna I. Akhmetzyanova Anna Kobtseva Aydar Kalimullin Aydar M. Kalimullin Aydar Minimansurovich Kalimullin Balwant Singh Branka Radulović Daria Medvedeva Dinara Bisimbaeva Elena Ibragimova Evgeniya Shishova Evsyukova E.A. Fatemeh Khonamri Ian Menter Idiyatov I.E. Ilshat R. Gafurov Kadriya Shakirova Liliana Shakirova Lira V. Artishcheva Lyubov A. Kochemasova Martina Pavlikova Mourat Tchoshanov Musa Nushi Natalya N. Kalatskaya Nick Rushby Oksana Kozhevnikova Olga K. Evdokimova Rezeda M. Khusainova Roza A. Valeeva Roza Valeeva Rushby N.J Tatiana Baklashova Valerian Faritovich Gabdulchakov Venera Zakirova Vera K. Vlasova Vera Khotinets Vera Vlasova Violeta Rosanda Vsevolod V. Andreev Yulia Novgorodova Zdenka Gadušová

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