The Use of Electronic Educational Resources and Innovative Educational Technologies in University Education

Maslova, Inga; Burdina, Gulnara; Krapotkina, Irina

doi:10.3991/ijet.v15i16.14909

Cited by 13 publications

(9 citation statements)

References 18 publications

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“…The confirmation of this may be the Kazan Federal University, which is already benefiting from e-learning by providing its students with original electronic educational resources for disciplines placed in Moodle. By registering a personal account, students acquired the opportunity to sign up for a specific online course, gain access to electronic lectures, practical materials, online and offline consultations, as well as obtain additional points for passing tests and completing tasks and research projects (Maslova, Burdina and Krapotkina, 2020).…”

Section: Introductionmentioning

confidence: 99%

Academic Motivation of University Students and the Factors that Influence it in an E-Learning Environment

Berestova

Burdina²,

Lobuteva³

et al. 2022

EJEL

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One of the most important factors in successful e- learning is the motivation of the student. This article examines the very essence of student motivation in the context of e-learning and identifies the factors that influence it. The investigation involved 123 five-year students of the Elabuga Institute of Kazan Federal University and the I.M. Sechenov First Moscow State Medical University aged from 21 to 23 (M = 22.6 SD = 0.03). Determination of specific factors affecting students’ motivation was performed by means of a specially designed questionnaire. Motivation analysis was done by using the Academic Motivation Scale (AMS) adapted for Russian students. The link between the reviewed factors of influence and academic motivation was established by using correlation analysis. In general, the results of the experiment indicate the absence of statistically significant variations in motivation levels across experimental (studying online) and control (studying traditionally) group participants (t = 0.721, p > 0.05). The significance of this research stems from the fact that it provides an idea of how to increase student engagement in e-learning and limit the effect of determinants reducing student motivation. That aside, they may be taken advantage of when planning and carrying out future research on the influence of e-learning on student motivation.

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Section: Introductionmentioning

confidence: 99%

Academic Motivation of University Students and the Factors that Influence it in an E-Learning Environment

Berestova

Burdina²,

Lobuteva³

et al. 2022

EJEL

Self Cite

View full text Add to dashboard Cite

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“…The article [4] proposes an algorithm for automatic recommendation of resources for training, based on a convolutional neural network. Automated learning resource recommendations are an increasingly pressing issue: they allow learners to discover new learning resources that suit their tastes, and enable eLearning to target their learning resources to the right learners.…”

Section: Methodsmentioning

confidence: 99%

Development of the digital competence of students through the electronic course

2021

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The article is concerned with the role of an electronic course in higher mathematics in the development of digital competence of students of technical faculties. The principle of organizing the educational process with the help of an electronic course in higher mathematics, focused on the development of students’ digital competence, is considered. The experience of testing an electronic notebook in higher mathematics, which is part of an electronic course, is presented. The experience of the implementation of an electronic notebook in higher mathematics in teaching students at all its stages is considered: the examples of problems solved in seminars are given; the design of classroom lessons is described taking into account the specifics of the academic subject “Mathematical Analysis”. The structure of the electronic notebook, including test tasks and cases for intermediate certification of students based on the results of the seminar, is given. The effectiveness of the organization of the educational process using an electronic course in higher mathematics to develop the digital competence of students in a technical direction is shown. The work examines the attitude of students to teaching higher mathematics using an electronic course, their self-assessment of involvement in the educational process. Moreover, the educational results of the development of digital competence were demonstrated. A reliable relationship was confirmed between the level of development of digital competence and the positive attitude of students to a new format of teaching mathematics: an interactive electronic course with a component base in the form of an electronic notebook. Based on the results of the experimental work, it can be argued that the students positively assessed the use of the electronic course in teaching, because have constant access to training materials and to information about the individual trajectory of the course. This interactive development is convenient to use when preparing yourself for classes.

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“…In the last decade, Technology-enhanced learning (TEL) has become one of the most important ways that helps learners by providing them the material that can help them study everywhere and anytime [1,4,27]. TEL aims to design, to develop, and to test socio-technical innovations that will support and enhance learning practices of both individuals and organizations.…”

Section: E-learning Recommender Systemsmentioning

confidence: 99%

A Big-Data Oriented Recommendation Method in E-learning Environment

Bourkoukou

Bachari

2022

Int. J. Emerg. Technol. Learn.

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E-learning is increasingly gaining popularity in organizational and institutional learning for its several benefits to learn anywhere, anytime, and anyplace. Therefore, explosive growth of E-learning has caused difficulty of locating appropriate learning activities for learner in this context, and it becomes relatively widespread learning method for learner. Several research in e-learning mainly focused on improving learner achievements based on recommendation technique. An ideal recommender system in e-learning environment should be built with both accurate and learning goals. To address this challenge, we propose a recommendation method based on machine learning technique. Based on this tool, a learning approach is designed to achieve personalized learning experiences by selecting the most appropriate learning activities. Moreover, some experiments were conducted to evaluate the performance of our approach. The results demonstrate that our method outperforms other state-of-the-art methods and reveals suitability of using recommender system in order to support online learning activities to enhance learning.

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The Use of Electronic Educational Resources and Innovative Educational Technologies in University Education

Cited by 13 publications

References 18 publications

Academic Motivation of University Students and the Factors that Influence it in an E-Learning Environment

Academic Motivation of University Students and the Factors that Influence it in an E-Learning Environment

Development of the digital competence of students through the electronic course

A Big-Data Oriented Recommendation Method in E-learning Environment

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