Abstract
Objective:
The objective of the paper is to find out the conditions for enhancing the students’ learning capacity based on the use of computerized dynamic adaptive tests in identifying the structure elements of compound objects and to give grounds for them. At present, the requirements for the results of educational institution students’ professional training have made relevant the problem of developing dynamic adaptive tests in compound objects identification that ensure conditions for self-learning.
Method:
The key method for the investigation of this problem is made up by the analysis of psychological and pedagogical theory and generalization of results of scientific studies by the Russian and foreign scientists in dynamic adaptive testing in education, in particular: the activity-based approach for carrying out developmental teaching under the instructional feedback; the environmental approach relying on learning with reinforcement in conditions of assessment feedback.
Results:
Based on the results of the theoretical research computer dynamic adaptive tests in identifying objects of anatomy have been created, the model for diagnosing the procedural characteristics of students’ learning activity has been developed. The effectiveness of dynamic adaptive testing in diagnosing the development of students’ cognitive abilities is represented and proven.
Conclusion:
The suggested model of dynamic adaptive tests in identifying the structure of anatomy objects allows timely diagnosing the procedural characteristics of medical students` learning activity within the educational process. It also made possible to formulate the main principles of dynamic adaptive testing based on the assessment feedback in education.
License
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Article Type: Original Article
ELECTRON J GEN MED, Volume 15, Issue 6, December 2018, Article No: em84
https://doi.org/10.29333/ejgm/99827
Publication date: 18 Nov 2018
Article Views: 2042
Article Downloads: 1490
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