Publications

(2022). Identifying Common Errors in Open-Ended Machine Learning Projects. Proceedings of the ACM Technical Symposium on Computer Science Education.

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(2022). Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks.. In Proceedings of the 15th International Conference on Educational Data Mining (EDM) 2022.

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(2021). Snap-Check: Automated Testing for Graphical Interactive Programs. Proceedings of the International Conference on Innovation and Technology in Computer Science Education(31% acceptance rate; 84/275 full papers.).

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(2021). Novices' Learning Barriers When Using Code Examples in Open-Ended Programming. Proceedings of the International Conference on Innovation and Technology in Computer Science Education(31% acceptance rate; 84/275 full papers.).

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(2021). Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks. In Proceedings of the 14th International Conference on Educational Data Mining (EDM) 2021.

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(2021). Identifying Struggling Students in Novice Programming Course with Knowledge Tracing. Proceedings of the 5th Workshop on Educational Data Mining in Computer Science Education (CSEDM) at EDM'21.

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(2021). Early Performance Prediction using Interpretable Patterns in Programming Process Data. Proceedings of the ACM Technical Symposium on Computer Science Education.

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(2020). What Time is It? Student Modeling Needs to Know. Proceedings of the International Conference on Educational Data Mining.

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(2020). Unproductive Help-seeking in Programming: What it is and How to Address it?. Proceedings of the International Conference on Innovation and Technology in Computer Science Education.

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(2020). Step Tutor: Supporting Students through Step-by-Step Example-Based Feedback. Proceedings of the International Conference on Innovation and Technology in Computer Science Education(27.6% acceptance rate; 72/261 full papers.).

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(2020). Immediate Data-Driven Positive Feedback Increases Engagement on Programming Homework for Novices. Proceedings of the 4th Workshop on Educational Data Mining in Computer Science Education (CSEDM) at EDM'20.

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(2020). Crescendo: Engaging Students to Self-Paced Programming Practices. Proceedings of the ACM Technical Symposium on Computer Science Education(31.4% acceptance rate; 171/544 papers.).

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(2020). Comparing Feature Engineering Approaches to Predict Complex Programming Behaviors. Proceedings of the 4th Workshop on Educational Data Mining in Computer Science Education (CSEDM) at EDM'20.

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(2020). An Evaluation of Data-driven Programming Hints in a Classroom Setting. Proceedings of the International Conference on Artificial Intelligence in Education.

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(2020). Adaptive Immediate Feedback Can Improve Novice Programming Engagement and Intention to Persist in Computer Science. Proceedings of the International Computing Education Research Conference (22.7% acceptance rate; 27/119 full papers).

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(2019). The Impact of Adding Textual Explanations to Next-step Hints in a Novice Programming Environment. Proceedings of the Annual Conference on Innovation and Technology in Computer Science Education (28% acceptance rate; 67/243 full papers).

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(2019). ProgSnap2: A Flexible Format for Programming Process Data. Proceedings of the Educational Data Mining in Computer Science Workshop in the Companion Proceedings of the International Conference on Learning Analytics and Knowledge.

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(2019). Lightning Talk: Curating Analyses for Programming Log Data. Proceedings of SPLICE 2019 Workshop Computing Science Education Infrastructure: From Tools to Data at 15th ACM International Computing Education Research Conference.

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(2019). Evaluating the Effectiveness of Parsons Problems for Block-based Programming. Proceedings of the International Computing Education Research Conference.

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(2019). A Comparison of Two Designs for Automated Programming Hints. Proceedings of the Educational Data Mining in Computer Science Workshop in the Companion Proceedings of the International Conference on Learning Analytics and Knowledge.

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(2018). The impact of data quantity and source on the quality of data-driven hints for programming. Proceedings of the International Conference on Artificial Intelligence in Education.

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(2018). Reducing the State Space of Programming Problems through Data-Driven Feature Detection. Proceedings of the Educational Data Mining in Computer Science Education Workshop at the International Conference on Educational Data Mining.

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(2018). iSnap: Automatic Hints and Feedback for Block-based Programming. Proceedings of the ACM Technical Symposium on Computer Science Education.

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(2017). Showpiece: iSnap Demonstration. Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing.

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(2017). Sharing and Using Programming Log Data. Proceedings of the ACM Technical Symposium on Computer Science Education.

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(2017). iSnap: Towards Intelligent Tutoring in Novice Programming Environments. Proceedings of the ACM Technical Symposium on Computer Science Education.

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(2017). Hint Generation Under Uncertainty: The Effect of Hint Quality on Help-Seeking Behavior. Proceedings of the International Conference on Artificial Intelligence in Education (30% acceptance rate; 36/121 full papers).

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(2017). Evaluation of a Data-driven Feedback Algorithm for Open-ended Programming. Proceedings of the International Conference on Educational Data Mining.

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(2016). Generating Data-driven Hints for Open-ended Programming. Proceedings of the International Conference on Educational Data Mining.

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(2016). Evaluation of a Frame-based Programming Editor. Proceedings of the International Computing Education Research Conference.

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(2016). Clashroom: A Game to Enhance the Classroom Experience. Proceedings of the ACM Technical Symposium on Computer Science Education.

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(2015). Using the hint factory to compare model-based tutoring systems. Proceedings of the Workshop on Graph-based Educational Data Mining at the International Conference on Educational Data Mining.

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(2015). The Impact of Granularity on Worked Examples and Problem Solving. Proceedings of the Annual Meeting of the Cognitive Science Society.

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(2015). Comparing Textual and Block Interfaces in a Novice Programming Environment. Proceedings of the International Computing Education Research Conference.

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(2015). BJC in Action: Comparison of Student Perceptions of a Computer Science Principles Course. Proceedings of the Annual Conference For Research On Equity & Sustained Participation In Computing, Engineering, & Technology.

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(2015). An Improved Data-Driven Hint Selection Algorithm for Probability Tutors. Proceedings of the International Conference on Educational Data Mining.

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(2015). An Exploration of Data-Driven Hint Generation in an Open-Ended Programming Problem. Proceedings of the Workshop on Graph-based Educational Data Mining at the International Conference on Educational Data Mining.

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(2014). Towards an Extended Declarative Representation for Camera Planning. Workshop on Intelligent Cinematography and Editing at the AAAI Conference on Artificial Intelligence.

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