Academic Journal

Assessment of Online Environment and Digital Footprint Functions in Higher Education Analytics

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Assessment of Online Environment and Digital Footprint Functions in Higher Education Analytics
Συγγραφείς: Pozdeeva, Elena, Shipunova, Olga (ORCID 0000-0001-8953-7434), Popova, Nina, Evseev, Vladimir, Evseeva, Lidiya, Romanenko, Inna, Mureyko, Larisa
Πηγή: Education Sciences. 2021 11.
Διαθεσιμότητα: MDPI AG. Klybeckstrasse 64, 4057 Basel, Switzerland. Tel: e-mail: indexing@mdpi.com; Web site: http://www.mdpi.com
Peer Reviewed: Y
Page Count: 11
Ημερομηνία έκδοσης: 2021
Τύπος εγγράφου: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Learning Analytics, Higher Education, Electronic Learning, Foreign Countries, Cognitive Mapping, Undergraduate Students, Student Attitudes, College Faculty, Teacher Attitudes
Γεωγραφικοί όροι: Russia
ISSN: 2227-7102
Περίληψη: The article is devoted to learning analytics problems associated with the digital culture development in the university educational space and with the student activity control in the vocational training process. The empirical basis of the study was a series of surveys conducted by the Center for Sociological Research of the Peter the Great Polytechnic University in 2018-2020. To systematize the information on the traces of students' activity in the digital space, the method of constructing a personal mental map, reflecting the cognitive characteristics of the student's interactive actions in the network, was used. Because of the analysis of the mental maps, the general structure of the personal digital footprint was identified, which is significant for analytics of the student's academic history and self-assessment of his activities in professional development. In conclusion, the constructive role of digital technology in assessing and modeling the educational process is emphasized. The study of students' digital footprints on the university platforms, supplemented by the study of their activity in social networks, allows the development of educational modeling aimed at creating a more adequate set of competencies and soft skills of the graduate.
Abstractor: As Provided
Entry Date: 2021
Αριθμός Καταχώρησης: EJ1300728
Βάση Δεδομένων: ERIC