Monitoring: Predictions of the Effectiveness of Educational Processes in Higher Educational Institutions
Askarov Abror Davlatmirzayevich
Dr. Askarov Abror Davlatmirzayevich, Head of the Department of Pedagogy and psychology, National University of Uzbekistan named after Mirzo Ulugbek, Tashkent, Uzbekistan.
Manuscript received on October 13, 2019. | Revised Manuscript received on 24 October, 2019. | Manuscript published on November 10, 2019. | PP: 768-774 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4249119119/2019©BEIESP | DOI: 10.35940/ijitee.A4249.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the period of globalization new requirements of the level of teachers’ preparation for their pedagogical career have significantly increased. Consequently, it demands higher educational institutions the necessity to draw special attention to enhance the efficiency of educational processes in preparing future teachers. In this article, the mechanism of implementation monitoring processes on improvement of the system of preparation teachers for pedagogical career in the high educational institutions has revealed. In this monitoring the distributional parameters of the corresponding processes according to the direction has taken into consideration and provided prognoses of them on the basis of interrelation and impact between indicators. On this purpose, the algorithmic model of interrelations between indicators of argumentative, procedural and productive directions of a process has developed. This model gives the chance to obtain the predicted information on educational process based on certain evidence, to define necessary organizational and pedagogical measures by comparison with the expected results, corrections, specifications and modernizations of teaching and learning processes.
Keywords: Effective Training, Monitoring of the Educational Process, Quality of Education, Predictions, an Indicator, Algorithmic Model, Ratio of Interrelations, Ratio of Impact.
Scope of the Article: Smart Learning and Innovative Education Systems