Seongyune Choi

According to our database, Seongyune Choi authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A systematic review of research on speech-recognition chatbots for language learning: Implications for future directions in the era of large language models.

Jaeho Jeon, Seongyong Lee, Seongyune Choi

Interact. Learn. Environ., September, 2024

Exploring factors influencing students' intention to use intelligent personal assistants for learning.

Seongyune Choi, Yeonju Jang, Hyeoncheol Kim

Interact. Learn. Environ., September, 2024

MonaCoBERT: Monotonic Attention Based ConvBERT for Knowledge Tracing.

Unggi Lee, Yonghyun Park, Yujin Kim, Seongyune Choi, Hyeoncheol Kim

Proceedings of the Generative Intelligence and Intelligent Tutoring Systems, 2024

2023

A Deep Learning Approach to Imputation of Dynamic Pupil Size Data and Prediction of ADHD.

Seongyune Choi, Yeonju Jang, Hyeoncheol Kim

Int. J. Artif. Intell. Tools, September, 2023

Influence of Pedagogical Beliefs and Perceived Trust on Teachers' Acceptance of Educational Artificial Intelligence Tools.

Seongyune Choi, Yeonju Jang, Hyeoncheol Kim

Int. J. Hum. Comput. Interact., February, 2023

2022

Correction to: Analyzing Teacher Competency with TPACK for K-12 AI Education.

Seonghun Kim, Yeonju Jang, Seongyune Choi, Woojin Kim, HeeSeok Jung, Soohwan Kim, Hyeoncheol Kim

Künstliche Intell., 2022

Author Correction: Development and validation of an instrument to measure undergraduate students' attitudes toward the ethics of artificial intelligence (AT-EAI) and analysis of its difference by gender and experience of AI education.

Yeonju Jang, Seongyune Choi, Hyeoncheol Kim

Educ. Inf. Technol., 2022

Development and validation of an instrument to measure undergraduate students' attitudes toward the ethics of artificial intelligence (AT-EAI) and analysis of its difference by gender and experience of AI education.

Yeonju Jang, Seongyune Choi, Hyeoncheol Kim

Educ. Inf. Technol., 2022

Practical early prediction of students' performance using machine learning and eXplainable AI.

Yeonju Jang, Seongyune Choi, HeeSeok Jung, Hyeoncheol Kim

Educ. Inf. Technol., 2022

2021

Analyzing Teacher Competency with TPACK for K-12 AI Education.

Seonghun Kim, Yeonju Jang, Seongyune Choi, Woojin Kim, HeeSeok Jung, Soo-Hwan Kim, Hyeoncheol Kim

Künstliche Intell., 2021

Associational Memory Networks.

Seokjun Kim, Jaeeun Jang, Yeonju Jang, Seongyune Choi, Hyeoncheol Kim

CoRR, 2021

Student Knowledge Prediction for Teacher-Student Interaction.

Seonghun Kim, Woojin Kim, Yeonju Jang, Seongyune Choi, HeeSeok Jung, Hyeoncheol Kim

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Why and What to Teach: AI Curriculum for Elementary School.

Seonghun Kim, Yeonju Jang, Woojin Kim, Seongyune Choi, HeeSeok Jung, Soo-Hwan Kim, Hyeoncheol Kim

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021