Danielle Allessio

According to our database, Danielle Allessio authored at least 19 papers between 2015 and 2024.

Collaborative distances:

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

2024

Affect Behavior Prediction: Using Transformers and Timing Information to Make Early Predictions of Student Exercise Outcome.

Hao Yu, Danielle A. Allessio, William Rebelsky, Tom Murray, John J. Magee, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal, Margrit Betke

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction.

Nataniel Ruiz, Hao Yu, Danielle Allessio, Mona Jalal, Ajjen Joshi, Tom Murray, John J. Magee, Kevin Delgado, Vitaly Ablavsky, Stan Sclaroff, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal, Margrit Betke

IEEE Trans. Biom. Behav. Identity Sci., July, 2023

COVES: A Cognitive-Affective Deep Model that Personalizes Math Problem Difficulty in Real Time and Improves Student Engagement with an Online Tutor.

Hao Yu, Danielle A. Allessio, Will Lee, William Rebelsky, Frank Sylvia, Tom Murray, John J. Magee, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal, Margrit Betke

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Parsing Pointer Movements in a Target Unaware Environment.

Jonah Scudere-Weiss, Abigail Wilson, Danielle Allessio, William Lee, John J. Magee

Proceedings of the Engineering Psychology and Cognitive Ergonomics, 2023

Face Readers: The Frontier of Computer Vision and Math Learning.

Beverly P. Woolf, Margrit Betke, Hao Yu, Sarah Adel Bargal, Ivon Arroyo, John J. Magee, Danielle Allessio, William Rebelsky

Proceedings of the Workshop "Towards the Future of AI-augmented Human Tutoring in Math Learning" co-located with The 24th International Conference on Artificial Intelligence in Education (AIED 2023), 2023

Exploring Pre-Service Teachers' Perceptions of Large Language Models-Generated Hints in Online Mathematics Learning.

Sai Satish Gattupalli, Will Lee, Danielle Allessio, Danielle Crabtree, Ivon Arroyo, Beverly P. Woolf

Proceedings of the Workshop on Empowering Education with LLMs, 2023

2022

Measurements and Interventions to Improve Student Engagement Through Facial Expression Recognition.

Will Lee, Danielle Allessio, William Rebelsky, Sai Satish Gattupalli, Hao Yu, Ivon Arroyo, Margrit Betke, Sarah Adel Bargal, Tom Murray, Frank Sylvia, Beverly P. Woolf

Proceedings of the Adaptive Instructional Systems, 2022

2021

Student Engagement Dataset.

Kevin Delgado, Juan Manuel Origgi, Tania Hasanpoor, Hao Yu, Danielle Allessio, Ivon Arroyo, William Lee, Margrit Betke, Beverly P. Woolf, Sarah Adel Bargal

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System.

Nataniel Ruiz, Hao Yu, Danielle Allessio, Mona Jalal, Ajjen Joshi, Thomas J. Murray, John J. Magee, Jacob Whitehill, Vitaly Ablavsky, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Affective Teacher Tools: Affective Class Report Card and Dashboard.

Ankit Gupta, Neeraj Menon, William Lee, William Rebelsky, Danielle Allessio, Tom Murray, Beverly P. Woolf, Jacob Whitehill, Ivon Arroyo

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

2020

Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System.

Nataniel Ruiz, Mona Jalal, Vitaly Ablavsky, Danielle Allessio, John J. Magee, Jacob Whitehill, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke

CoRR, 2020

2019

Affect-driven Learning Outcomes Prediction in Intelligent Tutoring Systems.

Ajjen Joshi, Danielle Allessio, John J. Magee, Jacob Whitehill, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke

Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

2018

Microscope or Telescope: Whether to Dissect Epistemic Emotions.

Naomi Wixon, Beverly P. Woolf, Sarah E. Schultz, Danielle Allessio, Ivon Arroyo

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Ella Me Ayudó (She Helped Me): Supporting Hispanic and English Language Learners in a Math ITS.

Danielle Allessio, Beverly P. Woolf, Naomi Wixon, Florence R. Sullivan, Minghui Tai, Ivon Arroyo

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017

Addressing Student Behavior and Affect with Empathy and Growth Mindset.

Shamya Karumbaiah, Rafael Lizarralde, Danielle Allessio, Beverly P. Woolf, Ivon Arroyo

Proceedings of the 10th International Conference on Educational Data Mining, 2017

Collaboration Improves Student Interest in Online Tutoring.

Ivon Arroyo, Naomi Wixon, Danielle Allessio, Beverly P. Woolf, Kasia Muldner, Winslow Burleson

Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2016

Internal & External Attributions for Emotions Within an ITS.

Naomi Wixon, Sarah E. Schultz, Kasia Muldner, Danielle Allessio, Winslow Burleson, Beverly P. Woolf, Ivon Arroyo

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Blinded by Science?: Exploring Affective Meaning in Students' Own Words.

Sarah E. Schultz, Naomi Wixon, Danielle Allessio, Kasia Muldner, Winslow Burleson, Beverly P. Woolf, Ivon Arroyo

Proceedings of the Intelligent Tutoring Systems - 13th International Conference, 2016

2015

La Mort du Chercheur: How Well do Students' Subjective Understandings of Affective Representations Used in Self- Report Align with One Another's and Researchers'?

Michael Wixon, Danielle Allessio, Jaclyn Ocumpaugh, Beverly P. Woolf, Winslow Burleson, Ivon Arroyo

Proceedings of the Workshops at the 17th International Conference on Artificial Intelligence in Education, 2015