Measuring Learner Tone and Sentiment at Scale via Text Analysis of Forum Posts

Schubert, M., Durruty, D., & Joyner, D. A. (2018). Measuring Learner Tone and Sentiment at Scale via Text Analysis of Forum Posts. In Proceedings of the 8th Edition of the International Workshop on Personalization Approaches in Learning Environments (PALE). London, United Kingdom.

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Sentiment Analysis of Student Evaluations of Teaching

Newman, H. & Joyner, D. A. (2018). Sentiment Analysis of Student Evaluations of Teaching. In Proceedings of the 19th International Conference on Artificial Intelligence in Education. London, United Kingdom. Springer.

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Squeezing the Limeade: Policies and Workflows for Scalable Online Degrees

Joyner, D. A. (2018). Squeezing the Limeade: Policies and Workflows for Scalable Online Degrees. In Proceedings of the Fifth Annual ACM Conference on Learning at Scale. London, United Kingdom. ACM Press.

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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.

Toward CS1 at Scale: Building and Testing a MOOC-for-Credit Candidate

Joyner, D. A. (2018). Toward CS1 at Scale: Building and Testing a MOOC-for-Credit Candidate. In Proceedings of the Fifth Annual ACM Conference on Learning at Scale. London, United Kingdom. ACM Press.

Continue reading Toward CS1 at Scale: Building and Testing a MOOC-for-Credit Candidate

Intelligent Evaluation and Feedback in Support of a Credit-Bearing MOOC

Joyner, D. A. (2018). Intelligent Evaluation and Feedback in Support of a Credit-Bearing MOOC. In Proceedings of the 19th International Conference on Artificial Intelligence in Education. London, United Kingdom. Springer.

Continue reading Intelligent Evaluation and Feedback in Support of a Credit-Bearing MOOC

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.

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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.