15 citations · 20 across the 7 of their papers we have counts for
7 papers
Analyzing Middle School Students' Dialogue and Behaviors during Collaborative AI Chatbot Development Using Ordered Network Analysis
Shan Zhang, Andres Felipe Zambrano, Xiaoyi Tian +5
As Artificial Intelligence (AI) education has become a key component of K-12 curricula, activities such as designing and developing conversational agents are increasingly used as i…
A Guiding Framework for K-12 Teachers in Creating AI-powered Learning Technologies through Vibe Coding
Yukyeong Song, Seoyeon Choi, Jinhee Kim +3
Large language models generate code from natural language prompts, enabling "vibe coding," which allows non-programmers to develop computational solutions. Vibe coding for teachers…
Development and Validation of a Faculty Artificial Intelligence Literacy and Competency (FALCON-AI) Scale for Higher Education
Yukyeong Song, Hyunjoo Moon, Hyewon Yang +1
The integration of artificial intelligence (AI) in higher education underscores the growing importance of faculty AI literacy and competency across teaching, research, and service.…
Elementary School Students' and Teachers' Perceptions Towards Creative Mathematical Writing with Generative AI
Yukyeong Song, Jinhee Kim, Wanli Xing +3
While mathematical creative writing can potentially engage students in expressing mathematical ideas in an imaginative way, some elementary school-age students struggle in this pro…
Students' Perceived Roles, Opportunities, and Challenges of a Generative AI-powered Teachable Agent: A Case of Middle School Math Class
Yukyeong Song, Jinhee Kim, Zifeng Liu +2
Ongoing advancements in Generative AI (GenAI) have boosted the potential of applying long-standing learning-by-teaching practices in the form of a teachable agent (TA). Despite the…
Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools
Yingbo Ma, Yukyeong Song, Jeremy A. Balch +12
As more clinical workflows continue to be augmented by artificial intelligence (AI), AI literacy among physicians will become a critical requirement for ensuring safe and ethical A…
Automatically Detecting Confusion and Conflict During Collaborative Learning Using Linguistic, Prosodic, and Facial Cues
Yingbo Ma, Yukyeong Song, Mehmet Celepkolu +4
During collaborative learning, confusion and conflict emerge naturally. However, persistent confusion or conflict have the potential to generate frustration and significantly imped…