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22 results on '"Allessio, Danielle"'

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

Author

Yu, Hao, Allessio, Danielle A., Rebelsky, William, Murray, Tom, Magee, John J., Arroyo, Ivon, Woolf, Beverly P., Bargal, Sarah Adel, Betke, Margrit, Hartmanis, Juris, Founding Editor, Goos, Gerhard, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Olney, Andrew M., editor, Chounta, Irene-Angelica, editor, Liu, Zitao, editor, Santos, Olga C., editor, and Bittencourt, Ig Ibert, editor

Published
2024
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2. Localizing a Mathematics Tutoring System to Spanish in Latin-America

Author

Arroyo, Ivon, Euredjian, Andrew, Lacera, Luisa Perez, Allessio, Danielle, Geremías, Waldo, Woolf, Beverly P., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Rocha, Álvaro, editor, Ferrás, Carlos, editor, and Ibarra, Waldo, editor

Published
2023
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3. Parsing Pointer Movements in a Target Unaware Environment

Author

Scudere-Weiss, Jonah, Wilson, Abigail, Allessio, Danielle, Lee, Will, Magee, John, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Harris, Don, editor, and Li, Wen-Chin, editor

Published
2023
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4. Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System

Author

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

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Human-Computer Interaction, Computer Science - Machine Learning
Abstract

In this work, we propose a video-based transfer learning approach for predicting problem outcomes of students working with an intelligent tutoring system (ITS). By analyzing a student's face and gestures, our method predicts the outcome of a student answering a problem in an ITS from a video feed. Our work is motivated by the reasoning that the ability to predict such outcomes enables tutoring systems to adjust interventions, such as hints and encouragement, and to ultimately yield improved student learning. We collected a large labeled dataset of student interactions with an intelligent online math tutor consisting of 68 sessions, where 54 individual students solved 2,749 problems. The dataset is public and available at https://www.cs.bu.edu/faculty/betke/research/learning/ . Working with this dataset, our transfer-learning challenge was to design a representation in the source domain of pictures obtained "in the wild" for the task of facial expression analysis, and transferring this learned representation to the task of human behavior prediction in the domain of webcam videos of students in a classroom environment. We developed a novel facial affect representation and a user-personalized training scheme that unlocks the potential of this representation. We designed several variants of a recurrent neural network that models the temporal structure of video sequences of students solving math problems. Our final model, named ATL-BP for Affect Transfer Learning for Behavior Prediction, achieves a relative increase in mean F-score of 50% over the state-of-the-art method on this new dataset., Comment: Published at IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2021 - Best Poster Award (4% award rate)

Published
2020

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

Author

Lee, Will, Allessio, Danielle, Rebelsky, William, Satish Gattupalli, Sai, Yu, Hao, Arroyo, Ivon, Betke, Margrit, Bargal, Sarah, Murray, Tom, Sylvia, Frank, Woolf, Beverly P., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sottilare, Robert A., editor, and Schwarz, Jessica, editor

Published
2022
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6. Addressing Student Behavior and Affect with Empathy and Growth Mindset

Author

Karumbaiah, Shamya, Lizarralde, Rafael, Allessio, Danielle, Woolf, Beverly, Arroyo, Ivon, and Wixon, Naomi

Abstract

We present results of a randomized controlled study that compared different types of affective messages delivered by pedagogical agents. We used animated characters that were empathic and emphasized the malleability of intelligence and the importance of effort. Results showed significant correlations between students who received more "empathic messages" and those who were "more confident," "more patient," exhibited "higher" levels of "interest," and "valued" math knowledge more. Students who received more growth mindset messages, tended to get more problems correct on their first attempt but valued math knowledge less and had lower "posttest scores." Students who received more "success/failure" messages tended to make "more mistakes," to be "less learning-oriented," and stated that they were "more confused." We conclude that these affective messages are powerful media to influence students' perceptions of themselves as learners, as well as their perceptions of the domain being taught. We have reported significant results that support the use of empathy to improve student affect and attitudes in a math tutor. [For the full proceedings, see ED596512.]

Published
2017

8. Microscope or Telescope: Whether to Dissect Epistemic Emotions

Author

Wixon, Naomi, Woolf, Beverly, Schultz, Sarah, Allessio, Danielle, Arroyo, Ivon, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Penstein Rosé, Carolyn, editor, Martínez-Maldonado, Roberto, editor, Hoppe, H. Ulrich, editor, Luckin, Rose, editor, Mavrikis, Manolis, editor, Porayska-Pomsta, Kaska, editor, McLaren, Bruce, editor, and du Boulay, Benedict, editor

Published
2018
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9. Ella Me Ayudó (She Helped Me): Supporting Hispanic and English Language Learners in a Math ITS

Author

Allessio, Danielle, Woolf, Beverly, Wixon, Naomi, Sullivan, Florence R., Tai, Minghui, Arroyo, Ivon, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Penstein Rosé, Carolyn, editor, Martínez-Maldonado, Roberto, editor, Hoppe, H. Ulrich, editor, Luckin, Rose, editor, Mavrikis, Manolis, editor, Porayska-Pomsta, Kaska, editor, McLaren, Bruce, editor, and du Boulay, Benedict, editor

Published
2018
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10. COVES: A Cognitive-Affective Deep Model that Personalizes Math Problem Difficulty in Real Time and Improves Student Engagement with an Online Tutor

Author

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

Published
2023
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11. Collaboration Improves Student Interest in Online Tutoring

Author

Arroyo, Ivon, Wixon, Naomi, Allessio, Danielle, Woolf, Beverly, Muldner, Kasia, Burleson, Winslow, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, André, Elisabeth, editor, Baker, Ryan, editor, Hu, Xiangen, editor, Rodrigo, Ma. Mercedes T., editor, and du Boulay, Benedict, editor

Published
2017
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12. ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction

Author

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

Published
2023
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13. Blinded by Science?: Exploring Affective Meaning in Students’ Own Words

Author

Schultz, Sarah E., Wixon, Naomi, Allessio, Danielle, Muldner, Kasia, Burleson, Winslow, Woolf, Beverly, Arroyo, Ivon, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Micarelli, Alessandro, editor, Stamper, John, editor, and Panourgia, Kitty, editor

Published
2016
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14. Representational Guidance and Student Engagement: Examining Designs for Collaboration in Online Synchronous Environments

Author

Sullivan, Florence R., Hamilton, Claire E., and Allessio, Danielle A.

Abstract

In this paper we report the results of a study which investigated the affordances of multi-user virtual environments (MUVEs) for collaborative learning from a design perspective. Utilizing a mixed methods approach, we conducted a comparative study of the effect of varying representational and interactional design features on a collaborative design activity in three online synchronous environments. We compared environments featuring multiple modes of interaction (MUVEs), shared representations (text chat and 2D still images) and text-only features. Sixty-one students enrolled in an undergraduate course on Child Development participated in the study. Participants were asked to design a theoretically-based, developmentally appropriate, preschool classroom setting. Students were randomly assigned to one of three online learning environments that provided varying levels of representation and interaction. Significant differences in collaborative problem solving interactions were found. Participants in the shared representations + text condition evidenced stronger learning outcomes as regards substantive discussion and integration of child development concepts; while participants in the MUVE condition reported the most enjoyment with the experience. These findings are explained by the concepts of representational guidance, representational bias, educational affordances and interface design metaphors. Suggestions for the design of MUVEs for collaborative learning are provided.

Published
2011
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17. Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System

Author

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

Published
2021
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18. Student Engagement Dataset

Author

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

Published
2021
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