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.

You can find more information here and register for the conference here.

Speakers & Program

The conference will span three days, during which 22 full papers and 45 works-in-progress will be presented.

Greg Morrisett, Dean and Vice Provost of Cornell Tech, will give the opening address. And Martha Pollack, President of Cornell University, will give a keynote on the last day of the conference.

The first day will be dedicated to workshops, starting with a half-day session titled Educational Nonlinear Stories with Twine, organized among others by May Kristine Johnson Carlon and Jeffrey Cross from Tokyo Tech — with whom we had the pleasure of co-organizing a workshop a couple of years back.

The second day will see the kick off of paper presentations, including a presentation titled Meet Me in the Middle: Retention in a “MOOC-Based” Degree Program by David Joyner, Executive Director of OMSCS, Georgia Tech’s online master’s — soon to become even more affordable, as we recently reported.

The third and last day will involve more paper presentations as well as a panel dedicated to The Future of  Assessments, moderated by Candace Thille, Director of Learning Science at Amazon.

You can find the full conference program here.

Themes

The conference will involve presentations on 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 [Closed]

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 Jan 24 Jan 31. And the final submissions are due on Jan 31 Feb 7.
• 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 Feb 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 Feb 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 Feb 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