Arna Aimysheva

ORCID: 0000-0002-9238-5280
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About
Contact & Profiles
Research Areas
  • Speech and dialogue systems
  • Education Methods and Practices
  • Social Robot Interaction and HRI
  • AI in Service Interactions
  • Diverse Education Studies and Reforms
  • Teaching and Learning Programming
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Stroke Rehabilitation and Recovery
  • Prosthetics and Rehabilitation Robotics
  • Education and Learning Interventions
  • Muscle activation and electromyography studies

Nazarbayev University
2022-2024

Digital Science (United States)
2023

Kazakhstan has adopted an alphabet reform and is planning to fully transition the Kazakh from Cyrillic Latin script by 2031. This places young learners at a significant disadvantage, creating unwanted challenges early continuous literacy development acquisition of new script. In light transition, there appears need design effective learning solutions boost children's motivation in acquiring alphabet. The Montessori method proven itself helpful for self-directed developmentally appropriate...

10.1007/s12369-024-01189-z article EN cc-by-nc-nd International Journal of Social Robotics 2024-11-25

This works addresses the lately initiated Cyrillic-to-Latin alphabet shift in Kazakhstan that may bring challenges for early literacy development and acquisition; both public scientific communities agree on possible resistance to acquiring using a new alphabet. To support acquisition of Kazakh Latin its handwriting, this study proposes reinforcement-learning (RL) system named QWriter. It comprises humanoid robot NAO, tablet with stylus, an RL agent learns from child's mistakes progresses...

10.1145/3568294.3580172 article EN 2023-03-08

Reciprocal Peer Tutoring (RPT) is a learning paradigm characteristic of collaborative interaction between learners with alternating tutor-tutee roles. In recent years, robot-assisted language (RALL) has gained traction by its wide application for skills, such as speaking or writing, using social robots. Our work aims at exploring the effectiveness RPT in Kazakh second help two robots acting either tutee tutor. To this end, we piloted within-subject experiment 21 children aged 8 and 9 years...

10.1145/3568294.3580176 article EN 2023-03-08

The transition of the Kazakh alphabet from Cyrillic to Latin, set be fully implemented by 2031, poses unwanted challenges early and continuous literacy development acquisition new script. This creates a need design innovative learning solutions boost children's motivation in acquiring Latin alphabet. Montessori method has proven itself effective for young children engage self-directed developmentally appropriate acquisition. These core ideas have been carefully adopted establish principles...

10.1145/3568294.3580175 article EN 2023-03-08

In Kazakhstan, the ongoing Cyrillic-to-Latin alphabet shift raises challenges for early literacy development and acquisition in Kazakh language. This paper proposes QWriter system to help young children learn Latin-based its handwriting. The consists of a humanoid robot NAO, tablet with stylus, Reinforcement Learning (RL) agent that learns child's mistakes progress maximize learning shortest period time by adapting order practice words according mistakes. To evaluate effectiveness system, we...

10.1145/3544549.3585611 article EN 2023-04-19

Robot-assisted language learning produces comparable results to human tutors in a long-term study with elementary school children.

10.1145/3611679 article EN XRDS Crossroads The ACM Magazine for Students 2023-09-01

The present study applies a novel Reinforcement Learning-based (RL) alphabet learning system named QWriter for the acquisition of Kazakh Latin alphabet. We conducted between-subject design experiment with 108 children aged 6-8 years old in public school and compared their rates across two conditions: an RL-based robot human tutor (HT) as baseline. results show that learned significantly more letters HT to robot, showing is not effective short term. Yet, we observe some interesting by...

10.1109/ro-man57019.2023.10309613 article EN 2023-08-28

The use of upper limb rehabilitation robots has improved stroke patients' motor recovery while reducing the workload for physical therapists. Robot-supported training potential to be more intense, prolonged, repetitive, and task-focused than manual arm training. design robotic shoulder exoskeletons must take certain factors into account align with shoulder, which is human body's most biomechanically complex joint. When using rehabilitation, it crucial support all degrees freedom (DOFs)...

10.1109/icrae59816.2023.10458641 article EN 2023-11-17
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