Meet Jing Qi
Program: Learning Experience Design
Spring Course: RIDT 180 Learning Analytics
Expertise: Text Mining, Data visualization, Statistical analysis, Application development and Evidence-centered design
Education: University of Vermont, Ed.D.
Bio: Jing Qi, Ed.D, is the Learning Analytic Lead and LMS Specialist at Dartmouth College in New Hampshire, where she works with the Research ITC team, and applies technologies employed in advanced scientific research and web application development to support the core effort of ‘Learning Data Research.’ Combining her solid knowledge in computer science, extensive experience in data mining, and strong passion in data visualization, she integrates the core elements of data analysis and visualization in the exploration of Learning Analytics.
Learn more about the course-
Why is this course important or valuable to a Learning Experience Design student?
The fundamental principle of Learning Experience Design is learner-centered and goal-oriented to effectively engage students in learning. While Learning Analytics leverages student digital footprints and artifacts to provide insights about student learning processes, which is essential to make informed LED decisions.
Why do you enjoy teaching this course?
This course is designed to give students first-hand experience of applying LA theories into LED practices. For instance, I employed social network analysis and text mining techniques to analyze student online interaction data and the semantics of discussion threads, then provide students with rich timely feedback in the form of visualization. The visualizations help students understand their cognitive behaviors, which in retrospect, enhances the learning experience.
Anything else you would like to share with a prospective student.
The students enrolled in this program are usually highly self-motivated and have a rather diverse professional background, which fosters an enriched learning community.
For more information on the Learning Experience Design program or other online master’s degrees available at GPS, please visit brandeis.edu/gps.