Publications

ALGORITHMS AND DATA

EN

Publications

MOOC learning analytics as a tool for predicting student success

Learning Analytics in Massive Open Online Courses as a Tool for Predicting Learner Performance
Educational issues. 2018, 4, pp. 139-166
T. Yu. Bystrova, V. A. Larionova, E. V. Sinitsyn, A. V. Tolmachev
Publication language - Russian, English

SUCCESS PREDICTING FOR STUDENTS OF ONLINE COURSES USING NEURAL NETWORKS

Predicting the success of online course students using neural networks
INTED2020 Proceedings 14th International Technology, Education and Development Conference
Valencia, Spain. 2-4 March 2020.
ISBN:978-84-09-17939-8 | ISSN: 2340-1079 | doi: 10.21125/inted.2020 | Publisher: IATED | Pages: 6547-6554
E. Sinitsyn, A. Tolmachev, V. Larionova, D. Tolmachev

MATHEMATICAL MODELS OF LEARNING ANALYTICS FOR MASSIVE OPEN ONLINE COURSES

Educational analytics mathematical models for massive open online courses
Proceedings of the 11th annual International Conference on Education and New Learning Technologies (EDULEARN19 Proceedings), 01-03th July 2019, Palma de Mallorca, Spain.
Publisher: IATED. Format: USB Flash drive – pp 4395-4404. ISBN: 978-84-09-12031-4 / ISSN: 2340-1117.
doi: 10.21125/ edulearn.2019.1107
E. Sinitsyn, A. Tolmachev, V. Larionova, A. Ovchinnikov

SYSTEM OF DIGITAL SERVICES FOR SUPPORTING THE INDIVIDUALIZED LEARNING PROCESS

Digital services system to support the individual learning process
K. Brown, A. Khalfin, V. Larionova, D. Sandler, E. Sinitsyn, A. Tolmachev
Appears in: ICERI2020 Proceedings (browse)
Pages: 8598-8607 | Publication year: 2020 ISBN: 978-84-09-24232-0 | ISSN: 2340-1095
doi: 10.21125/iceri.2020.1911
Conference name: 13th annual International Conference of Education, Research and Innovation
Dates: 9-11 November, 2020 | Location: Online Conference

Predicting the results of passing an online course in the context of the transition to adaptive learning

eLearning Stakeholders and Researches Summit 2018. Materials of the international conference. Moscow,
December 5-6, 2018 / M .: Ed. House of the Higher School of Economics, 2018 - 210 [2] p. ISBN 978-5-7598-1921-9 (in the region). ISBN 978-5-7598-1861-8 (e - book). S. 119-126
T. Yu. Bystrova, V. A. Larionova, E. V. Sinitsyn, A. V. Tolmachev

Early risers fail badly: behavioral patterns of online course students

eLearning Stakeholders and Researches Summit 2018. Materials of the international conference. Moscow,
December 5-6, 2018 / M .: Ed. House of the Higher School of Economics, 2018 - 210 [2] p. ISBN 978-5-7598-1921-9 (in the region). ISBN 978-5-7598-1861-8 (e - book). S. 195-210
A.S. Sheka, V.A. Larionova, S.N. Vasiliev, M.V. Singing

OnTask: Delivering Data-Informed, Personalized Learning Support Actions

Pardo, A., Bartimote-Aufflick, K., Buckingham Shum, S., Dawson, S., Gao, J., Gašević , D., Vigentini, L. (2018).

Data-driven Personalization of Student Learning Support in Higher Education.

Liu, D. Y. T., Bartimote-Aufflick, K., Pardo, A., & Bridgeman, A. J. (2017). In A. Peña-Ayala (Ed.), Learning analytics: Fundaments, applications, and trends: A view of the current state of the art: Springer. doi:10.1007/978-3-319-52977-6_5

The Demand for Massive Open Online Courses (MOOC): Evidence from Russian Education.

Y.M. Roschina, S.J. Roschin, V.N. Rudakov. Demand on massive open online courses. The experience of Russian education, Educational studies 1 (2018) 174–199

The 2018 OpenupEd Trend Report on MOOCs.

D. Jansen; L. Konin`gs (Eds.)The 2018 OpenupEd Trend Report on MOOCs, Maastricht, NL: EADTU, 2018.

Mathematical Modeling and Forecasting of Student's Academic Performance on Massive Online Courses.

T.V Semenova, K.A. Vilkova, I.A.Cheglova, The market of massive open online courses, Perspectives for Russia. Educational studies 2 (2018) 173–197.