Dazhi Yang

Boise State University

Papers

1

Total Citations

10

H-Index

1

About

Dazhi Yang is an educational technology researcher whose work sits at the intersection of computational thinking, qualitative research methodology, and technology-enhanced learning environments. Drawing on real-world instructional contexts such as after-school robotics programs, Yang investigates how students develop computational thinking skills and how researchers can rigorously study these processes in digital and online settings. One of Yang's notable contributions is advancing methodological approaches for qualitative analysis of online video data — a timely and increasingly essential competency as educational research migrates to virtual environments. In the 2021 paper "Addressing the Challenges of Online Video Analysis in Qualitative Studies," Yang and colleagues provided a detailed, practical worked example demonstrating how to navigate the unique ethical, logistical, and analytical challenges that arise when working with remotely captured video data. This contribution has already garnered 10 citations, reflecting its practical value to the research community. Yang's work is particularly significant for emerging scholars navigating the methodological complexities of studying learning in informal, technology-rich settings, offering both conceptual frameworks and hands-on guidance that bridge theory and practice in educational research.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Addressing the Challenges of Online Video Analysis in Qualitative Studies: A Worked Example from Computational Thinking Research
10 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Boise State University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago