Motivation of University Authorities Aimed at Creating Favorable Learning Environment in the Course of Restructuring Higher Education Institutions

Vinichenko, Mikhail V.; Kirillov, Andrey V.; Maloletko, Alexander N.; Frolova, Elena V.; Vinogradova, Marina V.

doi:10.29333/ejmste/85489

Cited by 4 publications

(4 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the HE has equal weight given to practical elements reflecting the appropriate learning sector, many external resources are needed to deliver the knowledge content. Critical focus is required for course-specific resources to develop learners' professional competence and align professionalism and proficiency within the desired discipline [ 42 ]; Finlayet al, 2022). Enhancing learner opportunities and aligning the industry standards to learner competence is crucial according to Professional, Statutory and Regulatory Bodies (PSRBs).…”

Section: Current Context Of Learning Resources In Higher Educationmentioning

confidence: 99%

A scientometric analysis of global scientific literature on learning resources in higher education

Gomis¹,

Oladinrin²,

Saini³

et al. 2023

Heliyon

View full text Add to dashboard Cite

Section: Current Context Of Learning Resources In Higher Educationmentioning

confidence: 99%

A scientometric analysis of global scientific literature on learning resources in higher education

Gomis¹,

Oladinrin²,

Saini³

et al. 2023

Heliyon

View full text Add to dashboard Cite

“…Motivation is important in the system of managing educational organizations (Vinichenko et al, 2018). Attempts are being made to create innovative models to assess the role of organizational culture, the organizational climate in the exchange of knowledge in the academic environment, in higher education, and the impact of the management style on the trust of teachers in the area of knowledge (Al-Kurdi et al, 2019).…”

Section: Entrepreneurship and Sustainability Issuesmentioning

confidence: 99%

Technologies of improving the university efficiency by using artificial intelligence: motivational aspect

Vinichenko¹,

Melnichuk²,

Karácsony³

2020

JESI

View full text Add to dashboard Cite

The aim of this study was to identify the most appropriate technologies to improve the university efficiency by using the motivational artificial intelligence (AI). Methods of the study were as follows: the questionnaire survey by using the Google Chrome electronic service, content analysis, methods of statistical analysis, and a focus group. The authors' version of the questionnaire was made by using the Likert methodology taking into account indicators of the QS World University Rankings rating system. The data obtained during the three stages were generalized and analyzed by using the descriptive statistics. The regression analysis was used to study the relationship between the motives of the academic staff (AS) and the nature of the stimulating effect of the university authorities on the staff of the university. Results: The discrepancy between the AS motivation structure and the range of stimulation methods applied by the university authorities, a continuous increase in the burden from introduced innovations, and the formal style for employees to fulfill new tasks have been revealed. The analysis of the results on using the techniques and methods by the university authorities to motivate and stimulate the staff has shown the need in new combinatorics, an innovative system that harmoniously combines the advantages of natural and artificial intelligence to motivate the AS in training HR for the digital economy of the 21st century. The new system should be universal and flexibly respond to constant changes in the socio-economic environment. It is important to timely eliminate the contradictions in needs and teachers' opinion on the ideal assessment system of their activities and offered forms of stimulation by universities authorities. The vectors of their activities must be constantly coordinated, based on the AI capabilities. The introduction of AI in the activities of universities improves the competitiveness of promising, innovative teachers and has positive impact on the image, efficiency, academic reputation, and citation index of universities. The authors for the first time ever have studied the problems of using the AI in the motivational system of the university's AS and offered technologies to improve the efficiency of universities by using the motivational AI. The practical importance of solving the problem is related to the real possibility of applying the offered technologies by the university authorities that strive to improve their efficiency and competitiveness in the educational market. The main advantage of the work is related to the advanced solutions of the emerging problems on using the AI in motivating the university staff identified during the three-stage study. The interdisciplinary nature of the study and the offered technologies can serve as the basis for the further study and an additional element that expands the views, approaches, and the framework of categories and concepts of the world science. Conclusion: The most suitable technologies for the university that strives to be effici...

show abstract

“…However, insufficient attention has been paid to the purposeful actions of the higher educational institution (university) management focused on involving faculty in applying current technologies, to retain the most talented of them (Vinichenko, Taridi Kasbi Ridho, Kirillov, Makushkin, & Melnichuk, 2017;Melnichuk, 2017). According to today's studies, no more than a third of university professors participate in innovation processes (Sheregi, & Kirillov, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…It is not possible to achieve such results without a purposeful work of the university management staff in order to ensure the motivation of scientific and pedagogical personnel. This is especially true in the context of the continuous reorganization of the training system (Vinichenko, Kirillov, Maloletko, Frolova, & Vinogradova, 2018).…”

Section: Introductionmentioning

confidence: 99%

Gamification for the Motivation of Scientific and Pedagogical Staff

Kirillov¹,

Melnichuk²,

Bondaletov³

et al. 2018

TOJDAC

Self Cite

View full text Add to dashboard Cite

Motivation of University Authorities Aimed at Creating Favorable Learning Environment in the Course of Restructuring Higher Education Institutions

Cited by 4 publications

References 53 publications

A scientometric analysis of global scientific literature on learning resources in higher education

A scientometric analysis of global scientific literature on learning resources in higher education

Technologies of improving the university efficiency by using artificial intelligence: motivational aspect

Gamification for the Motivation of Scientific and Pedagogical Staff

Contact Info

Product

Resources

About