Natasha Dmoshinskaia graduated as a teacher of English and physics and taught in various institutions for more than 10 years. In 2016 she graduated from a master programme Educational Science and Technology (2016) at the University of Twente. Her master project investigated dropout in Massive Open Online Courses (MOOCs), in particular the possibility to use sentiment analysis of learners’ comments to predict dropout.
After graduation Natasha worked in SiWay project (2016), which developed an online platform for teachers, students and parents to promote STEM education, where she was responsible for the usability tests it the LMS. And then in Next-Lab project (2017-2019), in which she was in charge of enriching the repository of online labs.
In March 2021, Natasha got a Doctor's degree from the University of Twente. Her thesis included four experimental studies and investigated how can feedback providers learn when giving feedback to peers.
- Inquiry learning
- Computer-Based Learning Environments
- Peer assessment
- Assessing and reflecting tools
UT Research Information System
Natasha’s research is conducted in the framework of NextLab project, which is an international project promoting inquiry learning. NextLab is a continuation of the GoLab project and contains online labs, specially developed apps and ready inquiry learning spaces for different domain areas. Natasha’s project focuses on peer assessment and its role and contribution to learning.