RESEARCH PAPER
Digital Educational Footprint as a Way to Evaluate the Results of Students’ Learning and Cognitive Activity in the Process of Teaching Mathematics
 
More details
Hide details
1
Kazan (Volga region) Federal University, Kazan, RUSSIA
 
2
Vyatka State University, Kirov, RUSSIA
 
3
Financial University under the Government of the Russian Federation, Moscow, RUSSIA
 
4
I.M. Sechenov First Moscow Medical University (Sechenov University), Moscow, RUSSIA
 
 
Online publication date: 2019-04-11
 
 
Publication date: 2019-04-11
 
 
EURASIA J. Math., Sci Tech. Ed 2019;15(8):em1732
 
KEYWORDS
ABSTRACT
Overcoming the effects of the global economic crisis and focusing on innovative development demanded the modernization of the education system, a key factor in improving various areas of human activity. Digital technologies nowadays are a comprehensive platform for the development of all sectors of the economy, including the field of education. The use of digital technologies in higher education has a didactic potential in organizing the educational and cognitive process, providing new qualitative opportunities through the implementation of the principles of virtualization, mobility, adaptability, instant feedback. Digital education dictates new requirements for subjects of the educational process, for the content of the information and educational space, for the regulation of the interaction of all participants in the educational process, for methods and parameters for evaluating the educational and cognitive activity of students. Thus, the purpose of the article is to study the specificity of evaluating the results of students’ educational and cognitive activity in a digital educational environment. The leading method here is the design of students’ digital educational footprint, which combines motivational, cognitive and reflective components. As a result of the study, the authors have determined the structural and informative characteristics of the digital educational footprint as a way to assess the results of students’ learning and cognitive activity in the process of teaching mathematics; revealed the didactic potential of digital technologies in organizing the process of teaching mathematics; developed a methodological system that allows to evaluate students’ digital educational footprint in teaching mathematics in a digital educational environment. Practical use of the research results contributes to the improvement of teaching mathematics in higher educational establishments.
REFERENCES (24)
1.
Anisimov, A. M. (2009). Work in the system of distance learning Moodle: study guide. Kharkov: KNAME.
 
2.
Babanskaya, O. M., Mozhaeva, G. V., Stepanenko, A. A., & Feschenko, A. V. (2016). Organization of the monitoring system of e-learning in LMS MOODLE. Open and distance education, 3(63), 27–35. https://doi.org/10.17223/16095....
 
3.
Belous, V. G. (2008). Teaching means of a modern high school. Kursk: Prip.
 
4.
Benson, V., Morgan, S., & Filippaios, F. (2014). Social Career Management: Social Media and Employability Skills Gap. Computersin Human Behavior, 30, 519-525. https://doi.org/10.1016/j.chb.....
 
5.
Black, S., & Johnson, A. (2012). Employers’ use of social networking sites in the selection process. The Journal of Social Mediain Society, 1(1), 7 -28.
 
6.
Camacho, M., Minelli, J., & Grosseck, G. (2012). Self and identity: raising undergraduate students’ awareness on their digital footprints. Procedia: Social and Behavioural Sciences, 46, 3176-3181. https://doi.org/10.1016/j.sbsp....
 
7.
Dede, C. (2008). Theoretical Perspectives Influencing the Use of Information Technology in Teaching and Learning. Boston: Springer. https://doi.org/10.1007/978-0-....
 
8.
Dolan, J. E. (2016). Splicing the divide: A review of research on the evolving digital divide among K-12 students. Journal of Research on Technology in Education, 48, 16-37. https://doi.org/10.1080/153915....
 
9.
Ferriter, W. M. (2011). Digitally Speaking. Positive Digital Footprints. Educational Leadership, 68(7), 92-93.
 
10.
Feshchenko, A., Goiko, V., & Mozhaeva, G. (2017). Analysis of user profiles in social networks to search for promising entrants. INTED2017Proceedings, 11th International Technology, Education and Development Conference, March 6th-8th. Valencia, pp. 5188–5194. https://doi.org/10.21125/inted....
 
11.
Frolov, I. H. (2009). E-learning as a form of organization of the educational process in the XXI century. Informatics and education, 2, 109–110.
 
12.
Geiger, V., Calder, N., Tan, H., Loong, E., Miller, J., & Larkin, K. (2016). Transformations of Teaching and Learning through Digital Technologies. Research in Mathematics Education in Australasia 2012-2015. Singapore: Springer.
 
13.
Hooley, T. (2012). How the internet changed career: framing the relationship between career development and online technologies. Journal of the National Institute for Career Education and Counselling, 29, 3-12.
 
14.
Jirmann, R. (2007). Online learning with Moodle. New York: Dialoge Consulting.
 
15.
Khusainova, R. M., Chirkina, S. E., & Gabdrakhmanova, R. G. (2015). Тhe Role of the Reflective Activity of Students in Individual Educational Traectory (2015) Review of European Studies,7(5), 146-152.
 
16.
Khutorskoy, A. V. (2010). Pedagogical innovation: textbook for students of higher institutions. Moscow: Academy Publishing Center.
 
17.
Krasilnikova, V. A. (2009). Theory and technologies of computer training and testing: monograph. Moscow: House of Pedagogy, IPK GOUOGU.
 
18.
Mihailidis, P. (2016). Digital curation and digital literacy: evaluating the role of curation in developing critical literacies for participation in digital culture. E-Learning and Digital Media, 12, 443-458. https://doi.org/10.1177/204275....
 
19.
Nelson, B. C. (2007). Exploring the Use of Individualize, Reflective Guidance In an Educational Multi-User Virtual Environment. Journal of Science Education and Technology, 16(1), 83–97. https://doi.org/10.1007/s10956....
 
20.
Osipova, S. I., & Solovyeva, T. V. (2013). Designing by the student of an individual educational trajectory in the conditions of informatization of education. Moscow: INFRA.
 
21.
Sokolova, I. Yu., & Kabanov, G. P. (2003). The quality of training specialists in a technical college and technology of education: a manual for teachers, graduate students, undergraduates. Tomsk: Publishing House.
 
22.
Stepanenko A. A., & Feschenko, A. V. (2017). “Digital trace” of the student: search, analysis, interpretation. Open and distance education, 4(68), 58-62.
 
23.
Thatcher, J. (2014). Living on fumes: Digital footprints, data fumes, and the limitations of spatial big data. International Journal of Communication, 8, 1765-1783.
 
24.
Yakimanskaya, I. S. (2004). Psychological Foundations of Mathematical Education: textbook for students of pedagogical universities. Moscow: Academy Publishing Center.
 
eISSN:1305-8223
ISSN:1305-8215
Journals System - logo
Scroll to top