М В Носков
Biographic Data
| ID | 4518102 |
|---|---|
| NAME | М В Носков |
| GIVEN NAMES | М В |
| FAMILY NAME | Носков |
| SIGNATURE | НОСКОВ М В |
| AFFILIATIONS | Siberian Federal University |
| ORCID | 0000-0001-8966-3633 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Scenarios of Pedagogical Support to Promote Subject Learning Success Among University Students Based on Academic Risk Analysis
The paper considers a strategy for shifting from predicting academic risks to implementing personalized measures of pedagogical support in the context of the digital transformation of education. This study is aimed at developing and testing scenarios for providing this support to university students based on learning analytics data. It is based on the outcomes of a predictive model implemented in the Pythia early warning system. This system has b…
Hybrid Approach to Predicting Learning Success Based on Digital Educational History for Timely Identification of At-Risk Students
Student retention is a significant challenge for higher education institutions (HEIs). The fact that a considerable number of dropouts from universities are primarily due to academic underperformance motivates universities to develop learning analytics tools based on models for predicting learning success. However, the scalability of such models is limited since students’ academic performance and engagement, as well as the factors influencing the…
Individualisation of Education in Terms of E‐learning
The problem of individualisation in education in terms of e-learning remains relevant despite a lot of research done in the area. The present article is intended to review existing education practice individualisation in e-learning and to determine the prospects of development of adaptive e-learning courses that provide the student with an individual educational environment content which focuses on the individual characteristics of students. The …
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Individualisation of Education in Terms of E‐learning
The problem of individualisation in education in terms of e-learning remains relevant despite a lot of research done in the area. The present article is intended to review existing education practice individualisation in e-learning and to determine the prospects of development of adaptive e-learning courses that provide the student with an individual educational environment content which focuses on the individual characteristics of students. The …
Hybrid Approach to Predicting Learning Success Based on Digital Educational History for Timely Identification of At-Risk Students
Student retention is a significant challenge for higher education institutions (HEIs). The fact that a considerable number of dropouts from universities are primarily due to academic underperformance motivates universities to develop learning analytics tools based on models for predicting learning success. However, the scalability of such models is limited since students’ academic performance and engagement, as well as the factors influencing the…
Scenarios of Pedagogical Support to Promote Subject Learning Success Among University Students Based on Academic Risk Analysis
The paper considers a strategy for shifting from predicting academic risks to implementing personalized measures of pedagogical support in the context of the digital transformation of education. This study is aimed at developing and testing scenarios for providing this support to university students based on learning analytics data. It is based on the outcomes of a predictive model implemented in the Pythia early warning system. This system has b…
Online Learning and Analytics (3 works) · Computer Science (2 works) · Educational Innovations and Challenges (2 works) · Educational technology (2 works) · Mathematics education (2 works) · Psychology (2 works) · Academic achievement (1 work) · Adaptive Learning (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Education (1 work)