Duration of the project: 2019–2020

Project scope: Instructional support for in-class and distance learning process in schools of Moscow with use of educational computer games

Project outcomes:

Educational computer games and design tools have been analyzed, as well as legal regulation on students’ interaction with computer games;

Instructional guidelines for training teachers of Moscow in game design has been developed; instructional recommendations for teachers of Moscow on arranging the in-class, electronic, and distance learning process in primary and general school with use of educational computer games have been developed;

The Moscow Electronic School (The MES) guidelines for instructing primary and general school teachers in the design and implementation of educational computer games has been developed; The MES lesson scenarios that include educational computer games have been designed;

Instructional guidelines for training teachers of Moscow in the fundamentals of design and organization of learning process with use of educational computer games has been developed;

Booklets for teachers on game design and implementation for electronic and distance learning of primary school students have been designed;

The MES instructional guidelines for training teachers, including primary school teachers, in the design and implementation of educational computer games has been developed:

Design and Implementation of Educational Computer Games in Primary School

Design and Implementation of Educational Computer Games in General School

The content of the discipline “Advanced Technology of Using Information Technology in International Education” has been updated in the area of the design and development of educational computer games;

The developed instructional guidelines and electronic contents have been tested;

Trial lessons with the use of the designed educational computer games in secondary schools of Moscow have been organized. Students of the 1575 School and the 1252 School participated in the testing.

12 scientific and instructional publications, including 2 articles in journals indexed by Scopus and 5 articles in journals included in the list of the Higher Attestation Commission (The VAK).

Project lead:

Professor Vadim Grinshkun, Head of the Department of Education Informatization

Researchers:

Professor Olga Zaslavskaya

Professor Victor Kornilov

Associate Professor Natalia Usova

Associate Professor Ekaterina Lavrenova

Associate Professor Alexey Azevich

Associate Professor Alexey Zaslavsky

Associate Professor Alexander Grinshkun

Senior Lecturer Lyubov Shunina

Assistant Lecturer Elena Puchkova

Duration of the project: 2019–2020

Project scope: Training of MCU students in the use of The MES sources in the learning process

Project outcomes:

International experience in the development of recommender systems for education has been analyzed;

Accounting for the network ranking of schools for selecting the venue for practical placement of MCU students has been analyzed. Based on the results of the analysis, recommendations on efficient work in The MES have been developed;

The program has been developed for teaching the fundamentals of developing recommender systems and their implementation in the learning process at university, as well as instructional and learning content on the discipline;

The developed program and contents have been tested;

The cluster analysis of The MES users has been carried out based on their use of The MES scenarios;

The network ranking of Moscow schools has been developed based on the data of how teachers use The MES scenarios;

The recommender system for selecting The MES scenarios for the MCU information system has been developed based on machine learning algorithms.

Project lead:

Ekaterina Lavrenova, Director of the MCU’s Institute of Digital Education

Researchers:

Associate Professor Boris Yarmakhov

Research Fellow Vasiliy Burov

Professor Irina Levchenko

Professor Albina Sadykova

Associate Professor Evgeny Patarakin

Associate Professor Zoya Fedoseeva

Professor Yuriy Frolov

Ruslan Suleymanov, Head of the Information Technology Department

Roman Kupriyanov, Deputy Head of the Information Technology Department

Associate Professor Timur Bosenko

Natalia Voznesenskaya, Deputy Director of the MCU’s Institute of Digital Education

Associate Professor Lyudmila Kartashova

Associate Professor Larisa Denischeva

Associate Professor Anna Teplyakova

Associate Professor Sergei Chiskidov

L. Pavlikova, Director of the Center

A. Mikhaylyuk, Assistant Lecturer

V. Sudakov, Laboratory Assistant of the Information Technology Department;

I. Polikarpov, Specialist of the Information Technology Department

Duration of the project: 2019–2021

Project descripltion: Within the general education system, advanced digital technology for creating, editing, and using interactive and multimedia teaching and learning content is widely employed. Big Data is capable of obtaining and analyzing information about the implementation of teaching approaches in a quick and relatively unbiased manner. In addition, technology of designing individual learning trajectories is also used. The technologies are applied within one of the main directions of the state program “Human Resources for the Digital Economy of the Russian Federation”. Operating Big Data, its clustering and aggregation by means of hierarchical structures have a significant potential for personalizing the general education process and increasing the efficiency of the professional activities of teachers and educational institutions. It indicates the relevance of searching for theoretical and practical approaches to the use of Big Data and hierarchical structures for designing individual learning trajectories with regard to school students’ individual features. The findings in the fields of education, information technology, mathematics, information science, and developmental psychology provide for the crossdisciplinarity of the research. The novelty and the relevance of the project are determined by the development of new fundamental approaches to the application of hierarchical structuring of data within the technology of operating Big Data for the analysis and consideration of school students’ individual features. Further, digital educational resources will be differentiated, the learning strategies will be forecasted and designed, as well as their efficiency will be assessed. The outcomes of the project will include the development of new models, algorithms, and approaches to the personalization of learning within the digitalization of general education. The proposed tested hierarchical structures for data analysis, the bases of digital instructional and learning resources and guidelines, the criteria and recommendations for regarding school students’ individual features will be of practical relevance.

Project lead: Professor Vadim Grinshkun

Researchers:

Associate Professor Dora Rudakova

Associate Professor Natalia Usova

Senior Lecturer Lyubov Shunina

Professor Victor Kornilov

Associate Professor Alexey Zaslavsky

Professor Sergey Grigoriev

Duration of the project: 2019

Project scope: Instructional support of teaching the fundamentals of artificial intelligence in schools of Moscow and teacher training

Project outcomes:

International experience of teaching artificial intelligence in schools has been analyzed (analytical report);

The presence of basic knowledge crucial for learning the fundamentals of artificial intelligence through related school disciplines has been analyzed (analytical report);

The program for teaching the fundamentals of artificial intelligence in schools has been designed;

Instructional guidelines on the discipline has been designed;

The developed program and contents have been tested; Students of 1574 School and A.P. Gaidar House of Children and Youth’s Art have participated in the testing. 80 school students have undergone training at the external venue. In total, 114 school students have undergone training in the fundamentals of artificial intelligence.

The MES lesson scenarios in the discipline have been designed:

https://uchebnik.mos.ru/catalogue/material_view/lesson_templates/1087552

https://uchebnik.mos.ru/catalogue/material_view/lesson_templates/1088670

Instructional recommendations for teachers have been developed to ensure training in teaching the discipline.

The designed advanced training program for teachers has been tested. +100 teachers of Moscow schools have participated in the testing.

In November 2019, the Institute of Digital Education launched the advanced training program “Teaching the Fundamentals of Artificial Intelligence in Schools” https://www.dpomos.ru/curs/1 289 186/#card

Project leads:

Ekaterina Lavrenova, Director of the MCU’s Institute of Digital Education

Research Fellow Vasiliy Burov

Researchers:

Professor Irina Levchenko

Professor Albina Sadykova

Associate Professor Dmitri Abushkin

Associate Professor Yulia Semenyachenko

Associate Professor Anastasia Pavlova

Senior Lecturer Natalia Tamoshina

Senior Lecturer Victoria Zabolotnikova

A. Mikhaylyuk, Assistant Lecturer

Specialist Tatiana Zakharova

Associate Professor Victor Agaltsov

Duration of the project: 2019

Project scope: The process of training MCU pre-service teachers for professional activities in the context of modern electronic education in the digital learning environment;

Project outcomes:

The comparative analysis of software environment for designing virtual and augmented reality (VR/AR) within school students’ learning in the general and advanced education system of Moscow has been carried out;

The most efficient models of applying AR/VR equipment in the general and higher education system of Moscow have been identified;

The plan of the elective course “Teaching the Fundamentals of Designing AR/VR, Mathematical and Simulation Modelling to Secondary School Students” has been designed for undergraduate pre-service teachers;

The instructional guidelines “Teaching the Fundamentals of Designing AR/VR, Mathematical and Simulation Modelling to Secondary School Students” has been designed;

The instructional recommendations for teachers of the course “Teaching the Fundamentals of Designing AR/VR, Mathematical and Simulation Modelling to Secondary School Students” have been elaborated;

The testing of the learning content developed by the research group has been carried out among engineering students at A.P. Gaidar House of Children and Youth’s Art. 100+ students have participated in the testing;

44 students of the MCU’s Institute of Digital Education have given lessons for the engineering classes of A.P. Gaidar House of Children and Youth’s Art;

Orientation and regular webinars on the research topic have been held with students of the Institute of Digital Education and participants of international research conferences. In total, 100 persons have participated in the conferences;

The seminar-webinar “Virtual and Augmented Reality in Education: Current State and Development” has been held for 200+ teaching staff members from Moscow and Russian regions;

The MES lesson scenarios on the technologies of mathematical and simulation modelling, as well as the fundamentals of AR/VR, have been designed and moderated:

https://uchebnik.mos.ru/catalogue/material_view/lesson_templates/1078444

https://uchebnik.mos.ru/catalogue/material_view/lesson_templates/1078453;

The following research publications have been made based on the research project outcomes:

Alexei Azevich. Virtual Reality as a Learning Environment: The Proceeding of the International Research Conference “Advanced Information Technology in Education”.

Alexander Grinshkun. (2019). The Unity Game Editor as a Tool for Designing Augmented, Virtual, and Mixed Reality Environments within School Education: The Proceedings of the 11th International Research and Practice Conference “Infostrategy 2019” (pp. 303–305).

Patarakin E., Burov V., Yarmakhov B. (2019). Computational Pedagogy: Thinking, Participation. In Väljataga T., Laanpere M. (Eds.), Digital Turn in Schools—Research, Policy, Practice. Lecture Notes in Educational Technology (pp. 123−137). Springer, Singapore.

Project leads:

Ekaterina Lavrenova, Director of the MCU’s Institute of Digital Education

Associate Professor Alexei Azevich

Researchers:

Senior Lecturer Alexander Grinshkun

Senior Lecturer Mikhail Kurnosenko

Roman Kupriyanov, Deputy Head of the Information Technology Department;

Associate Professor Evgeny Patarakin

Professor Irina Levchenko

Professor Albina Sadykova

Associate Professor Dmitri Abushkin

Vasiliy Burov, Research Fellow of the Laboratory of Activity-Based Education Design

Associate Professor Anastasia Pavlova

Senior Lecturer Natalia Tamoshina

A. Mikhaylyuk, Assistant Lecturer

Specialist Tatiana Zakharova

Duration of the project: 2019

Project scope: The process of training MCU pre-service teachers for professional activities in the context of modern electronic education in the digital learning environment; Digital automated agents (DAA), educational data of The Moscow Electronic School (The MES)

Project outcomes:

Legal regulations, and psychological and educational, as well as technical and instructional, literature on the functioning of digital automated agents and bots in electronic learning environment have been analyzed;

The proposals for the project of the concept of developing digital automated agents with regard to their further use in the general education environment have been elaborated;

The existing data fields in The MES has been analyzed in terms of their application and sufficiency for the use in DAA work;

The recommendations for expanding the list of data fields in The MES have been developed;

The software and analytical solution has been developed for identifying interrelations of The MES data based on the methods of intelligent analysis of educational data;

The interrelations of The MES data has been analyzed based on the methods of intelligent analysis of educational data;

The approaches to using machine learning algorithms have been developed for the design and development of DAA;

The comparative analysis of the tools for developing DAA/bots has been carried out;

The terms of reference for the development of the DAA prototype have been elaborated;

The DAA prototype has been developed and integrated in the university information environment;

The instructional guidelines for undergraduate teacher training at MCU for setting up the behavior of DAA in electronic learning environments has been developed.

The distant learning course “Setting Up the Behavior of Digital Automated Agents in Electronic Learning Environments” is available at the website;

The developed instructional guidelines has been tested and revised. 30+ MCU students have participated in the testing;

The examples of DAA behavior scenarios on the topic “Basic Ways of Setting Up the Behavior of DAA” for teachers have been developed for placement in the MES:

https://uchebnik.mos.ru/catalogue/material_view/lesson_templates/1097187;

https://uchebnik.mos.ru/my_materials/material_view/lesson_templates/1097469;

https://uchebnik.mos.ru/my_materials/material_view/lesson_templates/1097253.

The webinar “DAA in Electronic Learning Environments” has been organized and held for teachers of Moscow and MCU staff. The webinar  “DAA in Electronic Learning Environments” was held on June 27, 2019, on the webinar.ru platform. The webinar was moderated by Boris Yarmakhov, the project lead. The webinar was broadcasted within the “School 20:35″ Conference. Forecasts and Prospects”. 230+ persons participated in the webinar.

Project lead:

Ekaterina Lavrenova, Director of the MCU’s Institute of Digital Education

Associate Professor Boris Yarmakhov

Researchers:

Associate Professor Alexei Azevich

Ruslan Suleymanov, Head of the Information Technology Department;

Roman Kupriyanov, Deputy Head of the Information Technology Department;

Associate Professor Evgeny Patarakin

Egor Kozhemin, Head of the Office for Information Environment Development;

Ilya Rukavishnikov, Leading Programmer of the Office for Information Environment Development;

Olga Eroshkina, Leading Programmer of the Office for Information Environment Development;

T. Zakharova, Doctoral Student

V. Gnidchina, Expert of the Information Technology Department;

Valery Lykov, Head of the Technical Support Office;

Vasiliy Burov, Research Fellow of the Laboratory of Activity-Based Education Design

L. Pavlikova, Director of the University Center for Digital Technology