Three short papers accepted to Learning with MOOCs 2016

Three additional papers have been accepted as posters for Learning with MOOCs III in Philadelphia on October 6th and 7th. The papers are:

  • Gauging student sentiment using IBM Watson, by Damian Durruty and David Joyner. The paper, based on Damian’s OMS CS6460 project, explores using Watson’s sentiment analysis tool to identify struggling students and gauge overall classroom sentiment.
  • Formative Assessment and Implicit Feedback in Online Learning, by Ashok Goel and David Joyner. The paper, based on Ashok’s and David’s work in OMS CS7637: Knowledge-Based AI, covers methods for giving implicit feedback in large classrooms.
  • Metrics for evaluating classroom community interactivity in MOOCs, by Amanda Madden and David Joyner. The paper, based on Amanda’s analysis of David’s OMS CS6460 and other classes, explores methods for transferring the observations of the RTOP protocol to online environments.

Congratulations, everyone!

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Paper accepted to Learning with MOOCs 2016

My paper, “Scaling the human expert’s role in large online programs”, has been accepted for publication at Learning with MOOCs III in Philadelphia on October 6th and 7th. The paper covers efforts to increase human touch in Udacity’s Nanodegree programs through expert project review and mentorship. I will present the paper to the conference.

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Paper accepted to Qualitative Reasoning 2016

Our paper, “Preparing MILA for College”, has been accepted for publication at the International Workshop on Qualitative Reasoning in New York on July 11th. The paper covers efforts to convert MILA, our tool for teaching scientific reasoning to middle school students, to a college audience. Ashok Goel will present the paper to the symposium.

For the abstract, check after the jump.

Continue reading Paper accepted to Qualitative Reasoning 2016

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Learning @ Scale Flipped Presentations Now Available

At this year’s Learning @ Scale conference, the five papers we are presenting are part of a flipped session. In the flipped session, the presentations for the papers are filmed in advance and made available to conference attendees; the time at the conference is then spent on demonstrations, discussions, and activities.

The five presentations are now available as part of the conference’s course on edX Edge. They all be found here, after logging in with an edX Edge account. Below are direct links to the presentations’ pages on edX as well:

The videos alone can also be found on the corresponding presentation pages on LucyLabs under media.

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I’ve won the 2016 College of Computing Dissertation Award!

In the excitement about last week’s award, I forgot to mention the other one: I’ve also been selected as the recipient of the 2016 Georgia Tech College of Computing Dissertation Award, for my dissertation “Metacognitive Tutoring for Inquiry-Driven Modeling”.

The award is described as:

The College of Computing Dissertation Award recognizes and encourages superior research and writing by College of Computing Ph.D. students.

I’ve also been nominated for the ACM Doctoral Dissertation Award.

Thank you to my advisor, Ashok Goel, for the nomination, and to the College of Computing for the selection!

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I’ve won the Lockheed Excellence in Teaching Award!

I learned yesterday that I’ve been selected as this year’s recipient for the Georgia Tech College of Computing Lockheed Excellence in Teaching Award.

The award is described as:

The award recognizes outstanding untenured educators. Recipients are selected for extraordinary effectiveness in classroom teaching, educational innovations, inspiration transmitted to students, direct impact and involvement with students, and impact on the postgraduate success of students.

Thank you to Ashok, the College of Computing, and the Georgia Tech OMSCS TAs and students! I’m honored to win, and even more thrilled to see the OMSCS recognized as a place where teaching excellence can thrive.

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Fifth Paper Accepted to Learning @ Scale 2016

We have had a fifth paper accepted to Learning @ Scale 2016. The paper, titled “TAPS: A MOSS Extension for Detecting Software Plagiarism at Scale”, is co-authored by myself and Dana Sheahen, based on Dana’s project in CS6460 in Fall 2015. It is the first instance of a paper with an OMSCS student as the first author being accepted for publication (specifically about work completed in the OMSCS). Congratulations, Dana!

The paper is about scaling up code plagiarism detection in large online computer science classes. For the full abstract and full version, read after the jump.

Continue reading Fifth Paper Accepted to Learning @ Scale 2016

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