Presenting at Learning @ Scale 2018 and AI in Education 2018

Today, I’ll be presenting both of my accepted papers to Learning @ Scale: Toward CS1 at Scale: Building and Testing a MOOC-for-Credit Candidate and Squeezing the Limeade: Policies and Workflows for Scalable Online Degrees.

Tonight, I’ll be presenting the first of my two short papers, Intelligent Evaluation and Feedback in Support of a Credit-Bearing MOOC. I’ll present the second one, Sentiment Analysis of Student Evaluations of Teaching (co-authored with OMSCS student Heather Newman) tomorrow.

On Saturday, I’ll also be presenting at one of the AI in Education workshops, PALE 2018: Personalization Approaches in Learning Environments. This paper, Measuring Learner Tone and Sentiment at Scale via Text Analysis of Forum Posts, was co-authored by Michael Schubert and Damian Durruty, both OMSCS students.

Paper accepted for the PALE Workshop at AIED 2018

Our paper, “Measuring Learner Tone and Sentiment at Scale Via Text Analysis of Forum Posts” with Michael Schubert and Damian Durruty, has been accepted to the 2018 Personalization Approaches in Learning Environments (PALE) workshop to take place with AI in Education 2018.

For the tentative abstract, check after the jump.

Continue reading Paper accepted for the PALE Workshop at AIED 2018

I’ve joined the Advisory Board for Code: Out

This semester, I joined the advisory board for the non-profit Code: Out. Code: Out is an organization that seeks to provide computer science education to female inmates in Georgia to equip them with the skills to enter the workforce after exiting their transition centers. In doing so, we hope to break the cycle of poverty and reduce recidivism.

For more on the mission of Code: Out, see their web site.

Chapter accepted for volume on user experience in learning systems

I’ve had a chapter accepted for publication in the forthcoming book Designing for the User Experience in Learning Systems, edited by Evangelos Kapros and Maris Koutsombogera.

The chapter is titled “The CHI of Teaching Online: Blurring the Lines Between User Interfaces and Learning Interfaces”, and focuses on the application of design principles from Human-Computer Interaction to the design of online learning environments.

Two full papers accepted to Learning @ Scale 2018

Two of my submissions to Learning @ Scale 2018 have been accepted. The papers are:

  • “Toward CS1 at Scale: Building and Testing a MOOC-for-Credit Candidate”, a paper about our first year of results from our online version of CS1301.
  • “Squeezing the Limeade: Policies and Workflows for Scalable Online Degrees”, a paper about our work cataloging the different approaches classes in the OMSCS take to delivering at scale.

To see the abstracts for these papers, keep reading after the jump.

Continue reading Two full papers accepted to Learning @ Scale 2018

I’ve won the Georgia Tech Curriculum Innovation Award for 2018!

Today, I received Georgia Tech’s 2018 Curriculum Innovation Award, presented by the Center for Teaching & Learning. The award is based on my work in developing active learning in CS1301: Introduction to Computing; scaling project-based learning in a large online course in CS6460: Educational Technology; and creating maintainable and revisable video content in CS6750: Human-Computer Interaction. My nomination packet is available here. Thanks, Georgia Tech and CTL!

Presenting at Georgia Tech’s CTL Workshop

On April 16th, 2018, I will be presenting a workshop with Gabriel Perez Irizarry for Georgia Tech’s Center for Teaching & Learning. The workshop, titled “Leveraging Peer Review to Support and Enhance Learning at Scale“, focuses on our use of peer-to-peer review in our OMSCS program to improve student community and engagement.

The slides for this talk are available here.

Presenting at the Hasso-Plattner Institut’s MOOC Symposium

On April 16th, 2018, I will be presenting at the Hasso-Plattner Institut’s 2018 MOOC Symposium in New York. My talk, titled “Understanding the Relationship between MOOC Viewing Behavior and Completion Rates”, covers the work we have done at Georgia Tech as well as work from other researchers on how viewing behaviors predict student success.

The slides for this talk are available here.