Artificial Intelligence (AI) Support for Accelerated Math Acquisition Approach (AI4Math)

PD

Updated on September 15th, 2021

 

Description of the project:

Artificial Intelligence (AI) support for accelerated math acquisition approach (AI4Math) is an interdisciplinary, industrial research project with no connections to economic activity. The project promotes the development of human resources by using collaboration between specialists in mathematics, pedagogy and ICT sectors. It is done by increasing the diversity, involvement and compliance of mathematical education for the future needs of the STEM (Science, Technology, Engineering and Mathematics) sectors.

The research scientific purpose is to develop a mathematics support strategy for general education schools by using AI, Big Data, and stimulating learning approaches. This contributes to the 5th area (ICT) and 5th growth priority of the Smart Specialization Strategy (SSS) for promoting development of a modern and future labor market-oriented education system. This promotes economic transformation.

Also, businesses will continue to develop digitally to shape the next generation of entrepreneurship and seek ways for future growth. It is clear, that every future technology title (Blockchain, Big Data, Virtual Reality, AI, Cloud Computing, Cyber Security, Cryptocurrency, Robotic, Quantum computing etc) is based on mathematical skills. The 2018 Accenture study “How to accelerate skills acquisition in the age of intelligent technologies?” indicates that if the development of skills does not go hand in hand with technological progress the G20 economy could lose up to $11.5 trillion over the next ten years, i.e. 1.1% of GDP growth. Accenture points out that it is time to use the latest learning methods and approaches, as well as help policy makers and heads of educational institutions, implement innovative strategies that will change the way we teach and learn. This verifies the need for the proposed research to significantly improve the quality of learning in mathematics. This will significantly improve students' learning and creativity skills as well as increase the number of pupils who choose to study in the STEM sector in the future.

Planned project results:

1. A comparative study on changes in the behavior of users in the digital age

2. An interdisciplinary, AI-based technology prototype for learning mathematics with Big Data approach for growth assessment and adapt the functionality to suit the curriculum of general education in mathematics

3. An innovative support strategy by testing and implementing new technologies and approaches in teaching mathematics

Project implementation period: 01.04.2020. – 31.03.2023.

Project number: 1.1.1.2/VIAA/3/19/564

Project manager: dr.math, HESPI researcher Aija Cunska

Scientific advisor to the project: dr.phys. Atis Kapenieks

Project activities:

  1. Targeted project management
  2. A comparative assessment of digital age users' behavioral changes
  3. Interdisciplinary AI-based technology prototype
  4. Incentive approach strategy for learning mathematics

 

Partners

 

SIA „Riga Coding School”
Republikas laukums 3-16
Rīga, LV-1010
info@rigacoding.lv

 

 

SIA "TechGym"
Ventspils Augsto Tehnoloģiju parks 1
Ventspils, LV-3602
info@vatp.lv

 

 

Gateway School of English GSE
No.1, Bosfru Street, San Gwann (St Julian’s) 
Malta
info@english-malta.com

 

 

 

 

Accomplished activities:

  1. Presentation of the project idea at a monthly postdoctoral seminar (04.2020.)
  2. Drawing up a description for sub-activity WP1.1. "Informative guide and quality plan of the research project” within the framework of activity WP1. "Purposeful Project Management" (04.2020. – 05.2020.)
  3. Participation and obtaining a certificate in the online study course “Elements of Artificial Intelligence” (in cooperation with RTU and the University of Helsinki) (05.2020.)
  4. Implemented professional development course on Big Data Analysis with Python (in cooperation with SIA “Riga Coding School”) (06. – 08.2020.)
  5. Submitted and approved theses for the international scientific conference ICEEPSY`2020 (The International Conference on Education and Educational Psychology) (06.2020.) Retrieved from URL: iceepsy2020_abstract_book_program.pdf (futureacademy.org.uk)
  6. Participation in professional development courses on Big Data Analysis with SQL (in cooperation with SIA “Riga Coding School”) in the framework of activity WP2.5. (09. – 10.2020.)
  7. Participation in the conference ICEEPSY`2020 (The International Conference on Education and Educational Psychology) in the framework of sub-activity WP2.4. with a presentation “Effective Learning Strategies and Artificial Intelligence support for accelerated math acquisition” (06.10.2020. – 08.10.2020.)
  8. Preparing and presenting a practical seminar at the 11th conference of Vidzeme University - practical seminar for teachers “INTEGRATION OF EDUCATIONAL TECHNOLOGIES IN THE LEARNING PROCESS” in the framework of sub-activities WP2.7. and WP2.9., presenting the results of the project (21.10.2020.)
  9. Leading a focus group discussion at Trikāta Elementary School, Beverīna region with the aim to involve school management and teachers of mathematics in identifying problems during the distance learning period (14.10.2020.)
  10. Research project publicity event for students and teachers of 10th-12th grades of E.Glika Alūksne State Gymnasium within the campaign "Back to school" with a presentation "EU news and my work experience" (02.12.2020.)
  11. Mobility and networking trip to the University of Malta with the aim of getting to know the Maltese education system and conducting a study on changing the habits of digital age users, as well as training at the "Gateway school of English" (03.03.2021. - 30.04.2021.)
  12. Preparation of applications of ethics commissions (Ministry of Education of Malta and Vidzeme University College) for sub-activity WP2.1. (04. – 05.2021.)
  13. Participation in the conference INTED`2021 (15th annual International Technology, Education and Development Conference) with a presentation “Distance learning reveals the necessity of Artificial Intelligence solutions for accelerated learning of mathematics” (8.03.2021. – 9.03.2021.)
  14. Participation in the 79th International Scientific Conference of the University of Latvia - in the section “Modern Elementary Mathematics and Teaching Mathematics” with a presentation “Some Effective Strategies for Accelerated Learning of Mathematics” (18.03.2021.) Retrieved from URL: https://www.fmof.lu.lv/par-mums/zinas/zina/t/65322/
  15. Networking activities at the 22nd International Scientific Conference of the Turiba University “Artificial Intelligence and Green Thinking” (21.04.2021. – 22.04.2021.)
  16. Participation in the International Scientific Conference CSEDU`2021 (13th International Conference on Computer Supported Education) with a presentation “Technology-based Interdisciplinary Approaches to Accelerated Learning of Mathematics” (23.04.2021. – 25.04.2021.)
  17. Networking activities and participation in the events of the European Researcher’s Night 2021 with a poster “Modern solutions for accelerated learning of mathematics in general education schools” (30.04.2021.) Retrieved from URL:
    https://www.zinatniekunakts2021.lv/posters
  18. Conducting a practical seminar for mathematics teachers of Valmiera schools (Latvia) on the topic “Some effective strategies for accelerated learning of mathematics” with the aim to present the results of the research project (19.05.2021.)
  19. Participation in the International Scientific Conference SIE`2021 (15th International Scientific Conference “Society. Integration. Education”) with a presentation “Important factors for more effective learning of mathematics” (28.05.2021. – 29.05.2021.)
  20. Documents have been settled and Ethical permission has been obtained from the Department of Research, Lifelong Learning and Employment of the Ministry of Education of Malta to conduct an electronic survey of all Maltese public-school pupils to achieve the results of the research project. (31.05.2021.)
  21. Networking activities and participation in the conference of the Latvian school project School 2030 “Logos: technologies for better education” with an hour-long session “1.5. Technology-based Interdisciplinary Strategies for Accelerated Learning of Mathematics” (16.08.2021. – 17.08.2021.) Records of sessions: https://skola2030.lv/konference-logos
  22. Submitted and approved thesis for the international scientific conference ICERI2021 (14th annual International Conference of Education, Research and Innovation) (08.2021.)
  23. Scientific paper Cunska, A. (2021). Technology-based Interdisciplinary Approaches to Accelerated Learning of Mathematics. In Proceedings of the 13th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-502-9, ISSN 2184-5026, pages 114-121. DOI: 10.5220/0010473901140121 has been selected for inclusion in the book “Communications in Computer and Information Science” (CCIS) published by Springer. (08.2021.)

 

Publications:

Cunska, A. (2020) Effective learning strategies and Artificial Intelligence (AI) support for accelerated math acquisition. European Proceedings of International Conference on Education & Educational Sciences EpICEEPSY. 11th ICEEPSY’2020 International Conference on Education and Educational Psychology, e-ISSN 2672-8141, pages 118-129. DOI: 10.15405/epiceepsy.20111.11

Cunska, A. (2021) Distance learning reveals the necessity of Artificial Intelligence solutions for accelerated learning of mathematics. INTED2021 Proceedings. 15tht International Technology, Education and Development Conference, ISBN 978-84-09-27666-0, ISSN 2340-1079, pages 2152-2160, DOI: 10.21125/inted.2021

Cunska, A. (2021). Technology-based Interdisciplinary Approaches to Accelerated Learning of Mathematics. In Proceedings of the 13th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-502-9, ISSN 2184-5026, pages 114-121. DOI: 10.5220/0010473901140121

Cunska, A. (2021). Important factors for more effective learning of mathematics. SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference. Volume II, May 28th-29th, 2021, ISSN: 2256-0629, pages 139-150. DOI:  https://doi.org/10.17770/sie2021vol2.6466

Conference theses:

Cunska, A. (2020). Effective learning strategies and Artificial Intelligence (AI) support for accelerated math acquisition. EpICEEPSY, Volume 1, 11th ICEEPSY’2020 International Conference on Education and Educational Psychology, Retrieved from URL
https://www.europeanproceedings.com/article/10.15405/epiceepsy.20111.11

Cunska, A. (2021). Distance learning reveals the necessity of Artificial Intelligence solutions for accelerated learning of mathematics. INTED2021 (15tht International Technology, Education and Development Conference) Proceedings, Retrieved from URL https://library.iated.org/view/CUNSKA2021DIS

Cunska, A. (2021). Technology-based Interdisciplinary Approaches to Accelerated Learning of Mathematics. CSEDU 2021 (13th International Conference on Computer Supported Education) Proceedings, Retrieved from URL https://www.scitepress.org/PublicationsDetail.aspx?ID=BSj3h4AhJ+Y=&t=1

Cunska, A. (2021). Important factors for more effective learning of mathematics. 15th International Scientific Conference "Society. Integration. Education" May 28-29, 2021, Rezekne Academy of Technologies, Retrieved from URL  https://conferences.rta.lv/index.php/SIE/SIE2021/paper/view/4656