Tonight, I received the USG Board of Regents’ Teaching Excellence Award for Online Teaching. The award was presented at the Regents’ Scholarship Gala by Sarah-Elizabeth Langford Reed.
Today, we were notified that our (Melinda McDaniel and me) poster, “Online or In Person? Student Motivations in the Choice of a CS1 Experience”, was accepted for presentation at SIGCSE 2019.
We’ve had two submissions accepted to SIGCSE 2019! The papers are:
- “From Clusters to Content: Using Code Clustering for Course Improvement”, by myself, Ryan Arrison, Mehnaz Ruksana, Evi Salguero, Zida Wang, Ben Wellington, and Kevin Yin. This paper looks at using code clustering (automated grouping of students’ code submissions) to inform curricular revisions.
- “Collaboration versus Cheating: Reducing Code Plagiarism in an Online MS Computer Science Program”, by Tony Mason, Ada Gavrilovska, and myself. This paper looks at detecting and deterring cheating in programming assignments.
To see the abstracts for these papers, keep reading after the jump.Continue reading Two full papers accepted to SIGCSE 2019
Lauren Wilcox (PI), Betsy DiSalvo (Co-PI), Thomas Ploetz (Co-PI), and I (Co-PI) have received an NSF EAGER grant to research using behavioral and physiological feedback to tailor online course experiences to the individual’s needs. The grant, titled “Leveraging Behavioral and Physiological Feedback in the Design of Affect-Sensitive Distance Learning”, will run for two years for $300,000.
We have received a Mozilla Research gift of $45,000 to research the use of virtual reality in online education. Specifically, this grant will focus on content-agnostic applications of virtual reality, such as virtual lecture-watching parties, office hours, student lounges, and poster sessions. The goal is to find applications of virtual reality that can span across classes and levels, rather than specific applications to certain content areas.
Today, I’m presenting at the Personalization Approaches in Learning Environments (PALE) 2018 workshop, colocated with AI in Education 2018.
Our paper, co-authored with Michael Schubert and Damian Durruty, covers approaches for using natural language processing and sentiment analysis to aid online instructors in large classes.
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.
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.
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.
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.