Jingjing Ma
Papers
1
Total Citations
2
H-Index
1
About
Jingjing Ma is a researcher focused on the intersection of educational technology and online learning, with a particular emphasis on feedback strategies in digital environments. Her most cited work, "The Effect of Different Feedback Strategy on Learning Outcome in Micro-video Course Learning" (2022, 2 citations), addresses a critical gap in the design of micro-video courses—a format that surged in prominence during the COVID-19 pandemic. Ma’s research explores how tailored feedback can enhance learning outcomes in these concise, targeted resources, which are now a staple of online education. While her citation count is currently modest, her work is timely and relevant, contributing to the optimization of digital pedagogy in a rapidly evolving field. By investigating the nuanced role of feedback in micro-learning contexts, Ma provides actionable insights for educators and instructional designers seeking to improve student engagement and comprehension. Her research underscores the importance of adaptive, learner-centered strategies in online environments, positioning her as a thoughtful contributor to the ongoing transformation of educational practices in the post-pandemic era.
Research Focus
Key Achievements
Top Papers
- 1