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Scopus Author ID: 57867154000

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Latvia

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Employment (3)

Vidzeme University of Applied Sciences: Valmiera, LV

2016-09-01 to present | Researcher, Lecturer (Faculty of Engineering)
Employment
Source: Self-asserted source
Aija Cunska

Firma Madara 89 Ltd: Smiltene, LV

2008-01-09 to 2019-02-14 | Head (Information Technology and Security)
Employment
Source: Self-asserted source
Aija Cunska

Smiltene Gymnasium: Smiltene, LV

2002-02-14 to 2008-08-31 | Principal
Employment
Source: Self-asserted source
Aija Cunska

Education and qualifications (1)

University of Latvia: Riga, LV

2008-09-01 to 2013-05-10 | PhD Degree in Mathematics (Faculty of Physics, Mathematics and Optometry)
Education
Source: Self-asserted source
Aija Cunska

Funding (1)

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

2020-04 to 2023-03 | Contract
The postdoctoral project with the support of ERAF (Valmiera, LV)
URL: https://va.lv/en/research/research/artificial-intelligence-ai-support-accelerated-math-acquisition-approach-ai4math
Source: Self-asserted source
Aija Cunska

Works (9)

Creation of a Teacher Support System for Technology-Enhanced Accelerated Learning of Math in Schools

Communications in Computer and Information Science
2022 | Conference paper
DOI: 10.1007/978-3-031-14756-2_10
EID:

2-s2.0-85137000403

Part of ISBN: 9783031147555
Part of ISSN: 18650937 18650929
Contributors: Cunska, A.
Source: Self-asserted source
Aija Cunska via Scopus - Elsevier
grade
Preferred source (of 2)‎

Prototype of Project AI4Math: Interdisciplinary and Innovative Technology for Accelerated Learning of Mathematics

WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS
2022-11-15 | Journal article
DOI: 10.37394/23207.2022.19.165
Part of ISSN: 2224-2899
Part of ISSN: 1109-9526
Contributors: Aija Cunska
Source: Self-asserted source
Aija Cunska
grade
Preferred source (of 2)‎

A TECHNOLOGY-VALUE SYNERGY MODEL FOR LEARNING MATH THAT EVOKES EMOTIONS AND CREATES THE BEST LEARNING MOMENTS

ICERI2022 Proceedings
2022-11-11 | Conference paper
DOI: 10.21125/iceri.2022.1860
Part of ISSN: 2340-1095
Contributors: Aija Cunska
Source: Self-asserted source
Aija Cunska

Learning habits: Does the digital generation have digital stress and how does it affect the learning of mathematics?

Psychological Applications and Trends 2022 (InPACT)
2022-05-01 | Conference paper
Contributors: Aija Cunska
Source: Self-asserted source
Aija Cunska

Technology-based Interdisciplinary Approaches to Accelerated Learning of Mathematics

International Conference on Computer Supported Education, CSEDU - Proceedings
2021 | Conference paper
EID:

2-s2.0-85137951741

Part of ISBN: 9789897585029
Part of ISSN: 21845026
Contributors: Cunska, A.
Source: Self-asserted source
Aija Cunska via Scopus - Elsevier

TAXONOMY OF TECHNOLOGY-BASED SUPPORT FOR ACCELERATED LEARNING OF SCHOOL MATH

2021-11 | Conference paper
DOI: 10.21125/iceri.2021.0875
Contributors: Aija Cunska
Source: check_circle
Crossref

Technology-based Interdisciplinary Approaches to Accelerated Learning of Mathematics.

International Conference on Computer Supported Education CSEDU'2021
2021-05-01 | Conference paper
Contributors: Aija Cunska
Source: Self-asserted source
Aija Cunska

Distance learning reveals the necessity of Artificial Intelligence solutions for accelerated learning of mathematics.

International Technology, Education and Development Conference INTED'2021
2021-03-08 | Conference paper
Contributors: Aija Cunska
Source: Self-asserted source
Aija Cunska

Effective learning strategies and Artificial Intelligence (AI) support for accelerated math acquisition.

International Conference on Education and Educational Psychology ICEEPSY'2020
2020-11-24 | Conference paper
Contributors: Aija Cunska
Source: Self-asserted source
Aija Cunska
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