Nurziya Oralbayeva
Papers
11
Total Citations
39
H-Index
3
About
Nurziya Oralbayeva is a researcher at the intersection of human-robot interaction, artificial intelligence, and educational technology, with a focus on language learning and child development. Her work centers on designing innovative, data-driven systems that enhance early literacy, particularly through robot-assisted and chatbot-based learning environments. A key contribution is the development of **K-Qbot**, a language learning chatbot that applies reinforcement learning to personalize and improve language acquisition, a project that has garnered early recognition with 8 citations. She is also the lead investigator behind the **Moveable Älıpbi** project, a Montessori-inspired, long-term child-robot interaction system designed to help Kazakh children learn the new Latin alphabet—a critical response to Kazakhstan’s ongoing script transition. Her research extends to generating expressive 3D avatar facial expressions through semantic analysis and surveying data-driven communicative behavior generation, bridging virtual and physical interaction. With over a dozen publications and a growing citation impact, Oralbayeva’s work is notable for its interdisciplinary approach, combining cognitive learning theory, robotics, and inclusive design to create engaging, effective educational tools for young learners.
Research Focus
Key Achievements
Top Papers
- 1K-Qbot: Language Learning Chatbot Based on Reinforcement Learning8 citations · 2022
- 2Facial expression generation of 3D avatar based on semantic analysis6 citations · 2021
- 3Data-driven Communicative Behaviour Generation: A Survey4 citations · 2023
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- 9Cognitive Learning and Robotics: Innovative Teaching for Inclusivity2 citations · 2022
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