Portfolio-Jianyuan Zhong Math & Stat | Synchronous Teaching | Zoom Kahoot/Relevant Data

Stat 1: Introduction to Statistics

Reflection on Instructional Change:

In my course redesign of Stat 1 for Fall 2020, one aspect is to improve student engagements by having students analyze a current COVID-19 data set. The goal is to have students calculate the mean, median, standard deviation, confidence interval on this real data set, so that the students can apply the concepts and see the applications for real life examples.

Through the side car experience, I learned about Canvas speedgrader.  I have been using speedgrader on canvas to grade student work and share my feedbacks with students in a timely manner---my students absolutely like this feature.  I also incorporated Kahoot quizzes a few times to encourage student participation, this is proving to be very rewarding because students seems to like the interactive and lively participation and competition. 

To promote equity,  I have recorded all my synchronous class lectures that students can go back to view in their convenient time. I also allow extra time on homework submission due time.  I let students with internet speed problems to get off zoom and focus on taking exams. 

Teaching Synchronously

Analyze Real Data

We are all here learning!

 

Post Side Car - Syllabus and Schedule Download Syllabus and Schedule

Pre Side Car - Syllabus and Schedule Download Syllabus and Schedule

Faculty Biography

I joined Sacramento State in 2003. I am a professor in the Department of Mathematics & Statistics. I enjoy learning and teaching math---I like math because if I do what’s right in math, I usually arrive at the right result. I enjoy working with students---teaching has been a very rewarding job--full of excitement and challenges! 

This work was supported by the National Science Foundation NSF Hispanic Serving Institution Award 1832335.  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.