Modeling of the adaptive system of individualization and personalization of future specialists’ professional training in the conditions of blended learning

Author:

Osadcha KaterynaORCID,Osadchyi ViacheslavORCID,Kruglyk VladyslavORCID,Spirin OlegORCID

Abstract

The model of adaptive system of individualization and personalization of future specialists’ professional training in the conditions of blended learning is offered. It includes the contextual, pedagogical and instrumental subsystems. In the system, the adaptability is planned to be implemented through the adaptation of educational materials, monitoring, devices, face-to-face classes; individualization involves the study of students’ individual features, support and assistance of student’s individual syllabus, individualization of the learning process, development of student’s individual features and formation of new characteristics according to student’s educational needs, monitoring of student’s individual progress; personalization involves the organization of the educational environment, including the electronic one.

Funder

Ministry of Education and Science of Ukraine

Publisher

Kryvyi Rih State Pedagogical University

Reference31 articles.

1. Glazunova, O., Morze, N., Golub, B., Burov, O., Voloshyna, T., Parhomenko, O.: Learning style identification system: design and data analysis. ICTERI Workshops 2732, 793–807 (2020)

2. Osadchyi, V., Krasheninnik, I., Diuzhikova, T., Spirin, O., Koniukhov, S.: Personalized and adaptive ICT-enhanced learning: a brief review of research from 2010 to 2019. Proceedings of the 16 th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer, 559–571 (2020)

3. Siadaty, M., Taghiyareh, F. PALS2: pedagogically adaptive learning system based on learning styles. Seventh IEEE International Conference on Advanced Learning Technologies, 616–618 (2007). doi: 10.1109/ICALT.2007.198 DOI: https://doi.org/10.1109/ICALT.2007.198

4. El-Bakry, H. M., Saleh, A. A., Asfour, T. T., Mastorakis, N.: A new adaptive e-learning model based on learner’s styles. In: Proc. of 13 the WSEAS Int. Conf. on Mathematical and Computational Methods In Science and Engineering, 440–448 (2011)

5. Burov, O. Y., Pinchuk, O. P., Pertsev, M. A., Vasylchenko, Y. V.: Using the students’ state indices for design of adaptive learning systems. Information Technologies and Learning Tools 68 (6), 20–32 (2018)

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3