Andrew Emerson

According to our database, Andrew Emerson authored at least 24 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Combining Generative and Discriminative AI for High-Stakes Interview Practice.

Chee Wee Leong, Navaneeth Jawahar, Vinay Basheerabad, Torsten Wörtwein, Andrew Emerson, Guy Sivan

Proceedings of the Companion Proceedings of the 26th International Conference on Multimodal Interaction, 2024

Multimodal, Multi-Class Bias Mitigation for Predicting Speaker Confidence.

Andrew Emerson, Arti Ramesh, Patrick Houghton, Vinay Basheerabad, Navaneeth Jawahar, Chee Wee Leong

Proceedings of the 17th International Conference on Educational Data Mining, 2024

LIGATE - LIgand Generator and portable drug discovery platform AT Exascale.

Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, Yuedong Zhang, Emanuele Vitali, Bruno Guindani, Danilo Ardagna, Cristina Silvano, Andrea Rosario Beccari, Domenico Bonanni, Carmine Talarico, Filippo Lunghini, Akash Deep Biswas, Jan Martinovic, Martin Golasowski, Paulo Silva, Ada Böhm, Jakub Beránek, Jan Krenek, Branislav Jansik, Peter Thoman, Philip Salzmann, Thomas Fahringer, Torsten Schwede, Leila Tamara Alexander, Gerardo Tauriello, Janani Durairaj, Biagio Cosenza, Luigi Crisci, Andrew Emerson, Federico Ficarelli, Erik Lindahl, Sebastian Wingbermühle, Daniele Gregori, Silvano Coletti, Emanuele Sana, Philipp Gschwandtner

Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024

2023

Multimodal Predictive Student Modeling with Multi-Task Transfer Learning.

Andrew Emerson, Wookhee Min, Jonathan P. Rowe, Roger Azevedo, James C. Lester

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach.

Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, Emanuele Vitali, Cristina Silvano, Bruno Guindani, Danilo Ardagna, Andrea Rosario Beccari, Domenico Bonanni, Carmine Talarico, Filippo Lunghini, Jan Martinovic, Paulo Silva, Ada Bohm, Jakub Beránek, Jan Krenek, Branislav Jansik, Biagio Cosenza, Luigi Crisci, Peter Thoman, Philip Salzmann, Thomas Fahringer, Leila T. Alexander, Gerardo Tauriello, Torsten Schwede, Janani Durairaj, Andrew Emerson, Federico Ficarelli, Sebastian Wingbermühle, Erik Lindahl, Daniele Gregori, Emanuele Sana, Silvano Coletti, Philipp Gschwandtner

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2022

Affective Dynamics and Cognition During Game-Based Learning.

Elizabeth B. Cloude, Daryn A. Dever, Debbie L. Hahs-Vaughn, Andrew Emerson, Roger Azevedo, James C. Lester

IEEE Trans. Affect. Comput., 2022

Predicting User Confidence in Video Recordings with Spatio-Temporal Multimodal Analytics.

Andrew Emerson, Patrick Houghton, Ke Chen, Vinay Basheerabad, Rutuja Ubale, Chee Wee Leong

Proceedings of the International Conference on Multimodal Interaction, 2022

2021

Predictive Student Modeling in Game-Based Learning Environments with Word Embedding Representations of Reflection.

Michael Geden, Andrew Emerson, Dan Carpenter, Jonathan P. Rowe, Roger Azevedo, James C. Lester

Int. J. Artif. Intell. Educ., 2021

Progression Trajectory-Based Student Modeling for Novice Block-Based Programming.

Fahmid Morshed Fahid, Xiaoyi Tian, Andrew Emerson, Joseph B. Wiggins, Dolly Bounajim, Andy Smith, Eric N. Wiebe, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

Exploring Novice Programmers' Hint Requests in an Intelligent Block-Based Coding Environment.

Joseph B. Wiggins, Fahmid M. Fahid, Andrew Emerson, Madeline Hinckle, Andy Smith, Kristy Elizabeth Boyer, Bradford W. Mott, Eric N. Wiebe, James C. Lester

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Early Prediction of Museum Visitor Engagement with Multimodal Adversarial Domain Adaptation.

Nathan L. Henderson, Wookhee Min, Andrew Emerson, Jonathan P. Rowe, Seung Y. Lee, James Minogue, James C. Lester

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Modeling Frustration Trajectories and Problem-Solving Behaviors in Adaptive Learning Environments for Introductory Computer Science.

Xiaoyi Tian, Joseph B. Wiggins, Fahmid Morshed Fahid, Andrew Emerson, Dolly Bounajim, Andy Smith, Kristy Elizabeth Boyer, Eric N. Wiebe, Bradford W. Mott, James C. Lester

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits.

Andrew Emerson, Nathan L. Henderson, Wookhee Min, Jonathan P. Rowe, James Minogue, James C. Lester

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

Multimodal learning analytics for game-based learning.

Andrew Emerson, Elizabeth B. Cloude, Roger Azevedo, James C. Lester

Br. J. Educ. Technol., 2020

Predictive Student Modeling in Block-Based Programming Environments with Bayesian Hierarchical Models.

Andrew Emerson, Michael Geden, Andy Smith, Eric N. Wiebe, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Cluster-Based Analysis of Novice Coding Misconceptions in Block-Based Programming.

Andrew Emerson, Andy Smith, Fernando J. Rodríguez, Eric N. Wiebe, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Early Prediction of Visitor Engagement in Science Museums with Multimodal Learning Analytics.

Andrew Emerson, Nathan L. Henderson, Jonathan P. Rowe, Wookhee Min, Seung Y. Lee, James Minogue, James C. Lester

Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

Investigating Visitor Engagement in Interactive Science Museum Exhibits with Multimodal Bayesian Hierarchical Models.

Andrew Emerson, Nathan L. Henderson, Jonathan P. Rowe, Wookhee Min, Seung Y. Lee, James Minogue, James C. Lester

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Detecting Off-Task Behavior from Student Dialogue in Game-Based Collaborative Learning.

Dan Carpenter, Andrew Emerson, Bradford W. Mott, Asmalina Saleh, Krista D. Glazewski, Cindy E. Hmelo-Silver, James C. Lester

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Predictive Student Modeling in Educational Games with Multi-Task Learning.

Michael Geden, Andrew Emerson, Jonathan P. Rowe, Roger Azevedo, James C. Lester

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Predicting Early and Often: Predictive Student Modeling for Block-Based Programming Environments.

Andrew Emerson, Andy Smith, Cody Smith, Fernando J. Rodríguez, Wookhee Min, Eric N. Wiebe, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester

Proceedings of the 12th International Conference on Educational Data Mining, 2019

Improving Sensor-Based Affect Detection with Multimodal Data Imputation.

Nathan L. Henderson, Andrew Emerson, Jonathan P. Rowe, James C. Lester

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018

Gaze-Enhanced Student Modeling for Game-based Learning.

Andrew Emerson, Robert Sawyer, Roger Azevedo, James C. Lester

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

2015

Enabling a Quantum Monte Carlo application for the DEEP architecture.

Andrew Emerson, Fabio Affinito

Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015