Adam Barger | Associate Director for Academic Innovation & Digital Learning | College of William & Mary
Jennifer Balogh-Ghosh | Founder | Intelliphonics

8:05am - 8:50am PT | 11:05am - 11:50am ET

Join higher education experts to reflect on what effective assessment looks like in 2022. We'll discuss the long term changes underway in assessment and the role technology plays in providing more pedagogical flexibility and enabling instructors to design exams that truly support student success.

Stéphanie Gaillard | Lecturer and Course Chair, French | Brown University
Alicia Munoz Sanchez | Academic Coordinator, Spanish | University of California, San Diego

8:50am - 9:20am PT | 11:50am - 12:20pm ET

Discover how two university language programs implemented Gradescope to balance content (student understanding) and accuracy (linguistic mastery) while grading. Hear how to adapt grading criteria and types of questions in light of students’ learning progress. With this collaborative way of assessing, explore insights into Gradescope’s effectiveness in maintaining the validity, reliability, and fairness of the various stakeholders as well as teachers’ perceptions on implementation. 

Terri McKnight | Instructor, Mathematics | Rowan-Cabarrus Community College
Melissa Reid | Department Chair, Mathematics | Rowan-Cabarrus Community College

9:20am - 9:50am PT | 12:20pm - 12:50pm ET

Grading consistency is an extremely time-consuming challenge. How can we ensure fairness and consistency without adding more work? Join this session to learn how instructors at Rowan-Cabarrus Community College were able to build effective rubrics, provide quality feedback, and actually engage students. This streamlined approach led to a drastic decrease in regrade requests and is now used across the entire Math department.

Anne Dransfield DeLion | Course Coordinator, First-Year Engineering | Purdue University

9:50am - 10:20am PT | 12:50pm - 1:20pm ET

Using multiple graders can be a timesaver in multi-section courses, but it can also lead to challenges with grading consistency. It becomes increasingly difficult when ensuring that the process is easy to follow for both veteran and novice graders. In this session, discover how you can boost consistency across multi-section courses and improve student learning outcomes by enabling all graders to give quick and actionable feedback.

Julia Chamberlain | Assistant Professor of Teaching, Chemistry | University of California, Davis
Whitney Duim | Assistant Professor of Teaching, Chemistry | University of California, Davis

10:20am - 10:50am PT | 1:20pm - 1:50pm ET

Fair evaluation of student learning is built on clear objectives and rubrics, consistent grading practices, and timely feedback. Teaching professors Julia Chamberlain and Whitney Duim of the UC Davis Department of Chemistry will discuss their use of AI-assisted grading in Gradescope for classes large (400+) and “small” (50). They will highlight their use of AI grouping for consistent and efficient grading by large teams of teaching assistants, and how Gradescope facilitates real-time “quality control” for these teams. They will also share how Gradescope has transformed their exam writing and administering practices, from creative question formats to more frequent assessments.

Rich Ross | Instructor, Statistics | University of Virginia

10:50am - 11:20am PT | 1:50pm - 2:20pm ET

If you grade ten questions from each student in a 500-student course, that’s five thousand grade items! While some questions don’t lend themselves well to automated grading, discover some strategies for using Gradescope to maximize the efficacy of instructor time. In particular, explore the use (or not) of regrade requests, strategies for formative and summative assessments, and how to provide complete feedback even with a minimal assessment. All of this is based on large pivots Rich has made in teaching a large intro STEM course (statistics) at the University of Virginia.

Jason Hemann | Assistant Teaching Professor, Khoury College of Computer Sciences | Northeastern University

11:20am - 11:50am PT | 2:20pm - 2:50pm ET

The programming assignments experience in Gradescope is a game-changer for Computer Science courses. However, getting assignments "up and running" can seem daunting. How might you write a Gradescope autograder in a less-mainstream language? How might you design and autograde assignments for a class where students can program in any language they like? In this session, Jason Hemann from Northeastern will share how he and his colleagues use Gradescope programming assignments through autograders built with a functional language and graders that let students program in the language of their choice, and how these tools support student learning.