Utilisation Status and User Satisfaction of Online Education Platforms

The basis of the article is the research which is devoted to the organization of project work in teaching Russian as a foreign language. The principles of project work, its role in the educational process and the implementation of project work in both full-time and distance learning are considered. The analysis of these two types of project work is carried out, the advantages and disadvantages of the distant format in the implementation of the project method are revealed.

Section: Resultsmentioning

confidence: 99%

Organization of Project Work with the Help of Digital Technologies in Teaching Russian as a Foreign Language at the Initial Stage

Panova

Tjumentseva

Koroleva

et al. 2021

“…In the case of educational institutions, and in particular MOOC courses, brand awareness has become increasingly important [70] as it should not be forgotten that the number of courses and platforms has now increased substantially and it is critical that, for a student to show interest and acceptance in a MOOC course, it is linked to a wellknown educational brand [37], especially if it is the first time they are going to study in that institution [108]. MOOC courses associated with brands of prestigious institutions are not only automatically recognised as prestigious [37], [96], but also, thanks to brand awareness, achieve student satisfaction [109], create competitive advantage [110] and improve university performance [111], [112].…”

Section: Brand Awarenessmentioning

confidence: 99%

Micro-learning Platforms Brand Awareness Using Socialmedia Marketing and Customer Brand Engagement

Mujica

Villanueva

Lodeiros-Zubiria

2021

This study aims to analyse the impact of Social Media Marketing in Customer Brand Engagement and Brand Awareness micro-learning platforms. The sample consisted of 220 students from micro-learning platforms using social media in the educational institutions. Because social-media marketing and customer brand- engagement are second-order reflexive constructions, the two-stage approach of hierarchical models with mode-A was adopted. The results reveal that social media marketing influences both the building of customer brand engagement and brand awareness among students on micro-learning platforms. Furthermore, it was shown that customer brand engagement is an important mediator between social media marketing and brand awareness. Social-media marketing activities carried out by micro-learning platforms contribute to the generation of customer brand-engagement and brand awareness of these institutions. Furthermore, the results show that, although social-media marketing helps to generate brand-awareness, it is through customer brand-engagement that social-media marketing is most effective in generating brand-awareness. For micro-learning platforms, the results allow them to understand the importance of customer brand-engagement when using social-media marketing to generate brand-awareness.

“…With the rapid development of information technology (IT) and the Internet, online education platforms advance continuously, providing students with more diversified channels for knowledge acquisition [1][2][3][4][5][6][7][8]. The evaluation of personalized learning features can perceive the features of learning behaviors intelligently, and provide direct, reliable decision support for promoting personalized learning resources (PLRs) [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Big Data-Assisted Recommendation of Personalized Learning Resources and Teaching Decision Support

Huiji¹

2022

The evaluation of personalized learning features can perceive the features of learning behaviors intelligently, and provide direct, reliable decision support for promoting personalized learning resources (PLRs). The current research has an urgent need to overcome several problems of PLR recommendation: the recommended PLRs fall short of demand, the learning behaviors are not analyzed dynamically, and the learning intentions are not predicted well. To solve these problems, this paper explores the big data-assisted recommendation of PLRs and teaching decision support. The education of spoken and written languages was taken as an example during the exploration. The authors detailed the flow of the proposed algorithm, and proved its effectiveness through experiments.