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

Learning @ Scale 2022: Call for Papers [Deadline: Jan 31]

The event welcomes submissions on how technology can be leveraged in education to serve large audiences.

The ninth edition of the ACM conference Learning @ Scale (L@S) will take place at Cornell Tech, New York, on June 1–3, 2022.

The conference investigates forms of education where instruction is augmented through technology to allow a small number of instructors to serve a large number of learners. This year’s edition takes a particular interest in blended learning, a modality that many institutions have embraced as the pandemic abates.

L@S welcomes submissions ranging from work-in-progress to full papers. The deadline for submitting a full paper is Jan 31, but abstracts are due a week earlier.

Program

The conference will span three days, and while the largest part of program has yet to be determined, a few sessions and speakers have already been announced.

Greg Morrisett, Dean and Vice Provost of Cornell Tech, will give the opening address; Martha Pollack, President of Cornell University, will give a keynote on the last day of the conference; and on that same day, Candace Thille, Director of Learning Science at Amazon, will moderate a panel on the future of assessments.

You can find the tentative conference program here.

Themes

The conference welcomes submissions about the following themes:

  • Instruction: Envisioning how to scale up instruction to serve many learners.
  • Studies & Interventions: Shaping the learning to support teachers/learners.
  • Intelligence: Exploring how artificial intelligence can enable at-scale learning.
  • Informal Learning: Learning online outside the bounds of formal academia.
  • Systems & Tools: Looking at novel systems that support scaling education.
  • Synthesis: Bringing together existing research on education at scale.

You can find more details on the conference themes here.

Submissions

The conference welcomes the following type of submissions:

  • Full papers: Full research and synthesis submissions of up to 10 pages rigorously exploring a topic in line with the themes above. The abstracts are due on January 24. And the camera-ready submissions are due on January 31.
  • Work-in-Progress: Work-in-progress submissions of up to 4 pages representing a first milestone toward a full paper on one of the themes above. Work-in-progress submissions are due on February 28.
  • Demonstrations: Demonstration proposals of up to 2 pages particularly suitable to showcase new technologies that can support at-scale education. Demonstration proposals are due on February 28.
  • Workshops: Workshop proposals of up to 4 pages, comprehensively describing a half- or full-day event dedicated to diving into one of the themes above and building a community around it. Workshop proposals are due on February 14.

You can find the full call for papers here.

Previous Editions

In 2021, Learning @ Scale was held jointly with EMOOCs, the European MOOCs Stakeholders Summit. Originally planned to take place in Potsdam, Germany, the event was moved online due to the pandemic. I had the pleasure of co-chairing the international track. You can find the conference proceedings here, and the session recordings here, including the international track round table that I co-moderated.

In 2020, Learning @ Scale was set to take place at Georgia Tech in Atlanta, USA, but was also moved online due to the pandemic. Dhawal and I co-organized a workshop with David Joyner from Georgia Tech and researchers from Tokyo Tech, Galileo, and HPI, where we discussed at-scale learning initiatives worldwide. You can find the proceedings here. I wrote about the conference highlights here.

Class Central is a media partner of Learning @ Scale 2022

Manoel Cortes Mendez Profile Image

Manoel Cortes Mendez

Software engineer and online graduate student in computer science passionate about education, technology, and their intersection.

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.

Browse our catalog

Discover thousands of free online courses from top universities around the world like MIT, Stanford, and Harvard.

Browse all subjects