This Spring semester, I am diving into learning theories and technologies. Although I use digital technologies every day at my job, new tools continue to emerge! As an instructional designer, I need to understand how these new technologies operate and what are the specific advantages of using them vs. other established tools.

I am currently very invested in the design of data science courses which has brought me to Gradescope, a grading technology that helps instructors be more efficient with providing feedback. Gradescope is becoming a very popular technology science field and has been embraced by many universities. Especially at UC Berkeley because Gradescope was developed here at UCB by faculty and alumni from computer science.

Along with instructors who were acquired with Gradescope thanks to its growing popularity, I have incorporated this technology into data science courses like epidemiology. However, the first try did not go smoothly. We had a lot of students complain about how difficult it was to submit PDF documents so it created a lot of stress in our learning community.

Therefore, this Spring semester, I want to master this grading tool so that I can better support instructors and students and improve the way we are implementing it in our data science online courses. My plan is to learn the user experience of both the instructor and student.

It is worth investing time in mastering Gradescope because it brings a lot of benefits when used correctly. For example, it provides instructors with a super-efficient grading workflow allowing them to spend less time grading and more time engaging with the students. Students also received detailed feedback and the ability to request regrades, making very clear the grading communication between instructor and student.

Here is the page that provides an overview of the tool and the people involved in its creation:

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