Digital Educational Footprint as a Way to Evaluate the Results of Students’ Learning and Cognitive Activity in the Process of Teaching Mathematics

Galimova, Elvira G.; Конышева, А. В.; Kalugina, Olga A.; Sizova, Zhanna M.

doi:10.29333/ejmste/108435

Cited by 10 publications

(3 citation statements)

References 12 publications

(8 reference statements)

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“…They explore experiment and information interaction in the development of mobile applications, game educational spaces. Other authors complement their ideas and substantiate that distance technologies, e-learning, interactive communication tools and activity methods should be used in teaching mathematics (Galimova et al, 2019). Urvanova (2018) also formulates the condition that innovative pedagogical technologies and modern digital resources should be the basis of the educational environment, adjusted to individual personality traits.…”

Section: Analysis Of Russian Scientific and Pedagogical Literaturementioning

confidence: 99%

Formation of Computational Thinking Skills Using Computer Games in Teaching Mathematics

Soboleva

Sabirova

Babieva

et al. 2021

EURASIA J Math Sci Tech Ed

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The research is relevant as educational computer games are included in students' mathematical activity and form additional opportunities to improve the quality of teaching mathematics in a digital school, to support the formation of the demanded professional competencecomputational thinking. To form the appropriate skills that determine the essence of special computational thinking, the authors propose to include game educational spaces based on digital gamification resources into students' mathematical activities. The research aims to resolve the contradiction between requirements of the modern economy for specialists' high level of computational thinking and an insufficiently developed methodological base for training graduates that meets these requirements. The purpose of this research is to study the features of using gamification technologies in teaching mathematics to form the skills and abilities that make up the essence of computational thinking. The article describes directions of educational and cognitive mathematical activity based on the principles of gamification. The authors clarify the concept of "computational thinking", which includes a system of actions for activating patterns, connections between them from human memory, and compile an effective algorithm for solving them: to obtain relevant information on advanced technological developments; to state the problem and model; to use a software product with mathematical content.

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Section: Analysis Of Russian Scientific and Pedagogical Literaturementioning

confidence: 99%

Formation of Computational Thinking Skills Using Computer Games in Teaching Mathematics

Soboleva

Sabirova

Babieva

et al. 2021

EURASIA J Math Sci Tech Ed

View full text Add to dashboard Cite

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“…According to the Wikipedia a digital footprint (or digital shadow) can be defined as: "One's unique set of traceable digital activities, actions, contributions and communications that are manifested on the Internet or on digital devices". Before beginning the teaching activity, professors should develop concrete types of software tools and related professional applications to determine accessibility, as well as to quantify the types of digital fingerprints that Internet users leave behind intentionally or unintentionally, considered as unique data trails [18,19].…”

Section: Modern Educational Technologiesmentioning

confidence: 99%

Implications of modern digital technologies in higher education

Ţălu¹

2019

Proceedings of the International Scientific and Practical Conference on Digital Economy (ISCDE 2019)

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This article offers new insight into a set of issues related to modern digital technologies in higher education. Also, there are analyzed their impact and some specific aspects of the dynamic interaction between them in today's context of higher education. The impact of the Fourth Industrial Revolution (4IR) on the mission of higher education from universities is also explored. Modern digital technologies in higher education are a necessity in the current student-centered education system, focusing on the level of development of its potential, to develop an efficient, sustainable learning style that correlates different operational concepts for maintaining high academic standards.

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“…The function is calculated based on current academic performance, activity, and effectiveness of students in the e-course. These indicators were selected based on the analysis of various approaches to defining the essence and outcomes of learning [54][55][56].…”

mentioning

confidence: 99%

Hybrid Approach to Predicting Learning Success Based on Digital Educational History for Timely Identification of At-Risk Students

Kustitskaya,

Esin,

Vainshtein

et al. 2024

Education Sciences

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Student retention is a significant challenge for higher education institutions (HEIs). The fact that a considerable number of dropouts from universities are primarily due to academic underperformance motivates universities to develop learning analytics tools based on models for predicting learning success. However, the scalability of such models is limited since students’ academic performance and engagement, as well as the factors influencing them, are largely determined by the educational environment. The article proposes a hybrid approach to forecasting success in completing an academic semester, which involves creating a set of predictive models. Some of the models use historical student data, while others are intended to refine the forecast using current data on student performance and engagement, which are regularly extracted from available sources. Based on this approach, we developed an ensemble of machine learning models and the Markov-process model that simultaneously address the tasks of forecasting success in mastering a course and success in completing a semester. The models utilize digital footprint data, digital educational history, and digital personality portraits of students extracted from the databases of Siberian Federal University, and the resulting ensemble demonstrates a high quality of the forecast. The proposed approach can be utilized by other HEIs as a framework for creating mutually complementary forecasting models based on different types of accessible educational data.

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Digital Educational Footprint as a Way to Evaluate the Results of Students’ Learning and Cognitive Activity in the Process of Teaching Mathematics

Cited by 10 publications

References 12 publications

Formation of Computational Thinking Skills Using Computer Games in Teaching Mathematics

Formation of Computational Thinking Skills Using Computer Games in Teaching Mathematics

Implications of modern digital technologies in higher education

Hybrid Approach to Predicting Learning Success Based on Digital Educational History for Timely Identification of At-Risk Students

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