The Report by Class Central

Disclosure: Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

News

Call for Papers: Seventh Annual ACM Conference on Learning at Scale 2020

The 2020 Learning @ Scale (L@S) takes place on May 27 – 29, 2020 in Atlanta Georgia, at Georgia Tech Global Learning Center.

Learning at Scale 2020 homepage screenshot

The 2020 Learning @ Scale (L@S) takes place on May 27 – 29, 2020 in Atlanta Georgia, at Georgia Tech Global Learning Center with a full workshop day on May 27, followed by two main conference days on May 28 – 29.

At L@S the learning experience of students is placed in the center of scientific exchange. This way the conference aims to get a better understanding of the learning habits of students and learn more about new measures for better learning outcomes and scalable learning opportunities.

Over the past 6 years the L@S community has been promoting scientific exchange as well as producing research on learning at scale. At the latest L@S 2019 in Chicago, keynote speakers Michael McPherson (President emeritus of the Spencer Foundation) and Candace Thille (Professor at Stanford University) set the frame to discuss research papers on student engagement, course assessment, and learning support.

The call for papers for L@S 2020 is out. The conference invites all contributions focusing on innovations in scaling and enhancing learning opportunities, empirical investigations as well as new technical systems for learning at scale.

You can read all the previous years’ papers here:

To submit a paper, read the submission and presentation terms here. The submission deadline for full papers is Jan 20, 2020.

Class Central is a media partner for the 2020 Learning @ Scale Conference.

Dhawal Shah Profile Image

Dhawal Shah

Dhawal is the founder and CEO of Class Central.

Comments 0

Leave a reply

Your email address will not be published. All comments go through moderation, so your comment won't display immediately.

This site uses Akismet to reduce spam. Learn how your comment data is processed.