Individualization of students’ independent work on the basis of information technologies
DOI:
https://doi.org/10.15587/1729-4061.2015.48240Keywords:
students’ independent work, information technology, individual trajectories, prediction, production-frame modelsAbstract
The study explores an information technology model of forming individual trajectories, which is conducive to organizing and managing students’ independent work. The existing methods of teaching at the university level allow improvement of students’ performance with the help of principles of autonomous learning that are implemented during individual work. We have suggested the structure of the devised model and considered several methods that involve the proposed technology as well as the general principle of the information technology functioning. A distinctive feature of the information technology is that it incorporates a method of forming and a method of adjusting individual trajectories of students’ independent work. These methods are based on performance prediction and aided by the modified method of cluster analysis of the McKean k-means; they take into account individual performance and motivation of each student with the help of production models of guiding the student.
The suggested model of information technology is aimed at solving the problems of individualization in the higher education process and improving the academic performance of students.
References
- Lamb, R. L., Vallett, D. B., Akmal, T., Baldwin, K. (2014). A computational modeling of student cognitive processes in science education. Computers & Education, 79, 116–125. doi: 10.1016/j.compedu.2014.07.014
- Stoyanova, L. Y. (2010). The Learning Process Management in E-learning Environment in the Technology School "Electronic Systems" Associated with the Technical University of Sofia. Technological Developments in Education and Automation, 271–274. doi: 10.1007/978-90-481-3656-8_50
- Osetrin, K. E., Pianykh, Е. G. (2011). Information Technology in the organization of independent work of students. Vestnik TSPU, 13, 210–213.
- Fazlollahtabar, H., Mahdavi, I. (2009). User/tutor optimal learning path in e-learning using comprehensive neuro-fuzzy approach. Educational Research Review, 4 (2), 142–155. doi: 10.1016/j.edurev.2009.02.001
- Dias, S. B., Diniz, J. A. (2013). FuzzyQoI model: A fuzzy logic-based modelling of users' quality of interaction with a learning management system under blended learning. Computers & Education, 69, 38–59. doi: 10.1016/j.compedu.2013.06.016
- Lupo, T. (2013). A fuzzy ServQual based method for reliable measurements of education quality in Italian higher education area. Expert Systems with Applications, 40 (17), 7096–7110. doi: 10.1016/j.eswa.2013.06.045
- Chen, S.-M., Li, T.-S. (2013). Evaluating students’ answerscripts based on interval-valued intuitionistic fuzzy sets. Information Sciences, 235, 308–322. doi: 10.1016/j.ins.2012.12.031
- Kwok, R. C. W., Ma, J., Vogel, D., Zhou, D. (2001). Collaborative assessment in education: an application of a fuzzy GSS. Information & Management, 39 (3), 243–253. doi: 10.1016/s0378-7206(01)00093-3
- Problems integrating national institutions of higher education in the European educational environment: Proceedings of the international scientific and technical conference. Vol. 2 (2012). Kharkov: Fort, 136.
- Shevchenko, V. А. (2013). Testing the effectiveness of student learning using methods of nonparametric statistics. Vestnik KhNAHU, 60, 18–21.
- Meteshkin, К. А., Shevchenko, V. А. (2012). Vague understanding of students clusterization results. Public information and computer integrated technologies, 56, 162–168.
- Shevchenko, V. А. (2015). Information technology of forming individual trajectories of independent students work. Vestnik NTU «KhPI», 21 (1130), 76–83.
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Copyright (c) 2015 Виктория Александровна Шевченко
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