Autograded Assessments with MATLAB Grader & LMS Integration
Overview
Be part of one of the largest educational conversations of 2021! Join MathWorks for our global event regarding the future of teaching in engineering and science.
In this webinar, you will learn how to develop MATLAB exercises for students online that can be automatically graded and integrated with different learning environments. You will discover instructor and student workflows in MATLAB Grader and learn about key features of MATLAB Grader, such as personalized immediate feedback, instructor/learner interaction and ways to access performance analytics of your class.
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
- Autograding student solutions with built-in/custom functions
- Student access view and submission with immediate feedback
- LMS integration to bring autograding into any learning environment like Moodle, Canvas etc.
About the Presenters
Spandhana Gonuguntla, PhD and Franziska Albers, PhD are part of the Academia Team at MathWorks. They work with educators and researchers to enable effective use of MATLAB and Simulink in their curriculum and research.
Spandhana supports faculty and researchers across India. She specializes in data analytics, mathematical modelling, machine learning and deep learning workflows. She holds a PhD in Chemical and Biomolecular Engineering from National University of Singapore and a B.Tech in Chemical Engineering from National Institute of Technology, Surathkal. Her focus during her PhD included Smart Actuating Systems using mathematical models.
Franziska supports educators and researchers at universities across Germany. She studied physics in Heidelberg and Münster and holds a PhD in neuroimaging from University Hospital Münster. Her research background is in MR physics, medical imaging and signal processing.
Recorded: 21 Apr 2021
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MATLAB
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