WEBINAR: MATLAB Grader for automaticallygraded computational assignments

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WEBINAR: MATLAB Grader for automaticallygraded computational assignments

MATLAB  Grader provides an environment for creating and automatically grading MATLAB-based homework assignments, quizzes and exams. For instructors and teaching assistants, this offers significant savings in time and effort compared to manual grading approaches, while providing the ability to scale up to any class size for residential, hybrid or online courses. For students, it offers instantaneous feedback that improves retention of technical concepts, and makes assignments more engaging. 

               Join us for this live webinar where we will demonstrate: 

    • Workflows for administrators, instructors, teaching assistants and students 
    • Creation of question banks, courses, problems, test suites 
    • Managing student submissions and grading of assignments 
    • Integration with LTI compliant LMS like Blackboard, Canvas, Moodle, etc. 

 

Is mandatory to register for the event herein to receive the URL of the webex videoconference event before 13/12/2018 at 6 PM European Central Time.


  Date and Time

  Location

  Hosts

  Registration


  • Date: 13 Dec 2018
  • Time: 06:00 PM UTC to 07:00 PM UTC
  • Add_To_Calendar_icon Add Event to Calendar
  • Escuela Técnica Superior de Ingenieros Informáticos
  • Ciruelos Street
  • Boadilla del Monte, Madrid
  • Spain 28660
  • Click here for Map
  • Contact Event Host

  • Edmundo Tovar, VicePresident of Educational Activities and Awards and 2019-2020 President-Elect of the IEEE Education Society and Universidad Politecnica de Madrid

  • Co-sponsored by IEEE Education Society
  • Starts 07 December 2018 09:00 AM UTC
  • Ends 13 December 2018 05:00 PM UTC
  • No Admission Charge

  Speakers

Jeff Alderson Jeff Alderson of Mathworks

Topic:

MATLAB Grader for automaticallygraded computational assignments

Jeff Alderson, Online Learning Product Marketing, MathWorks

Biography:

Jeff Alderson has spent his entire career working on technology that empowers students, families and educators to further their education and career, including those with special needs. Currently, he is product manager for MATLAB's autograding solution - MATLAB Grader - at MathWorks in Natick, MA. Prior to joining MathWorks, Jeff was Principal Analyst for Technology at Eduventures, covering the emerging EdTech market in higher ed.  Jeff has over 15 years experience in deploying secure, standards-based, data solutions for education and government, as well as five years service as a commissioned officer in the U.S. Air Force. Mr. Alderson received his B.S. in Electrical and Computer Engineering from WPI in Massachusetts.

 

Email:




Agenda

7:00 PM-7:05 PM Introduction and presentation: Edmundo Tovar

7:05 PM-7:55 PM MATLAB Grader for automaticallygraded computational assignments – Jeff Alderson (Mathworks) (including questions)

7:55 PM – 8:00 PM Closing webinar

 

WEBINAR FULL CONTENTS on 13/12//018 (7-10 PM CET) - IEEE Education Society

7-8 PM MATLAB Grader for automaticallygraded computational assignments

https://events.vtools.ieee.org/m/183771

8-9 PM Inclusive and integrative educational robotics tools for teaching STEM

https://events.vtools.ieee.org/m/183785

9-10 PM Computing Competencies and the CC2020 Project

https://events.vtools.ieee.org/m/183821


WEBINARs from the IEEE Education Society - 13th of December 2018 from 7 PM to 10 PM CET time

 

Is mandatory to register for the event herein to receive the URL of the webex videoconference event before 13/12/2018 at 6 PM European Central Time.