Autograded Assessments with MATLAB Grader


Overview

Are you an academic or an educator looking for a way to scale up your students marking and provide them feedback?

Join us on Tuesday 16th June to learn more about MATLAB Grader!

MATLAB Grader allows faculty, instructors and instructional designers to create interactive MATLAB course problems, automatically grade student work, provide feedback, and integrate these tasks into learning management systems (e.g. Moodle, Blackboard, Canvas).

In this webinar, you will learn about the key features of MATLAB Grader with a demo of the course creation and student workflows. You’ll discover how to create problems and how to personalize feedback. You will get to know the instructor/learner interaction and ways to access performance analytics of the class and the student history.

Highlights

  • Creation of MATLAB-based assignments with rich text, images, hyperlinks and LaTeX equations in problem descriptions
  • Access to library of re-usable example courses and problems
  • Autograded student solutions with built-in/custom functions
  • Student access view and submission with immediate feedback
  • Individual and aggregate student performance analytics
  • LMS integration to bring autograding into any learning environment
  • Academics’ experience and feedback

Who Should Attend

This webinar is aimed at lecturers that are looking for scalable solution to assess the learning outcome of students and provide custom feedback to common mistakes.

About the Presenters

Dr. Sheila Scialanga and Dr. Martina Sciola are part of the Academic Customer Success team at MathWorks, which helps faculty members with MATLAB and Simulink in their teaching and research.

Sheila earned her PhD in Civil Engineering from the University of Glasgow where her research involved control of linear discrete-time interconnected systems with constraints. She also holds a BSc in Mathematics and MSc in Applied Mathematics from Sapienza, Università di Roma.

Martina has a biomedical engineering background (BEng and MEng) and her PhD at the University of Sheffield focused on personalized cardiovascular modelling. She also had the opportunity to work as research associate for diagnosis of Pulmonary Hypertension and as research coordinator for an EU project to establish a new center of excellence of medicine at the University of Sheffield.

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