Juliana Ma. Alexandra L. Andres

According to our database, Juliana Ma. Alexandra L. Andres authored at least 15 papers between 2016 and 2024.

Collaborative distances:

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

2024

Exploring Confusion and Frustration as Non-linear Dynamical Systems.

Elizabeth B. Cloude, Anabil Munshi, Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Gautam Biswas

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2023

A Re-Analysis and Synthesis of Data on Affect Dynamics in Learning.

Shamya Karumbaiah, Ryan S. Baker, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres

IEEE Trans. Affect. Comput., 2023

Struggling to Detect Struggle in Students Playing a Science Exploration Game.

Xiner Liu, Stefan Slater, Juliana Ma. Alexandra L. Andres, Luke Swanson, Jennifer Scianna, David Gagnon, Ryan Shaun Baker

Proceedings of the Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 2023

Help Seekers vs. Help Accepters: Understanding Student Engagement with a Mentor Agent.

Elena G. van Stee, Taylor Heath, Ryan Shaun Baker, Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022

Exploring players' experience of humor and snark in a grade 3-6 history practices game.

David J. Gagnon, Ryan S. Baker, Sarah Gagnon, Luke Swanson, Nick Spevacek, Juliana Ma. Alexandra L. Andres, Erik Harpstead, Jennifer Scianna, Stefan Slater, Maria Ofelia Clarissa Z. San Pedro

CoRR, 2022

Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process.

Jiayi Zhang, Juliana Ma. Alexandra L. Andres, Stephen Hutt, Ryan S. Baker, Jaclyn Ocumpaugh, Caitlin Mills, Jamiella Brooks, Sheela Sethuraman, Tyron Young

Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021

How Anxiety Affects Affect: A Quantitative Ethnographic Investigation Using Affect Detectors and Data-Targeted Interviews.

Juliana Ma. Alexandra L. Andres, Stephen Hutt, Jaclyn Ocumpaugh, Ryan S. Baker, Nidhi Nasiar, Chelsea Porter

Proceedings of the Advances in Quantitative Ethnography - Third International Conference, 2021

Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning.

Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Nigel Bosch, Luc Paquette, Gautam Biswas, Ryan Baker

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

Who's Stopping You? - Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations.

Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Anabil Munshi, Nigel Bosch, Ryan S. Baker, Yingbin Zhang, Luc Paquette, Stefan Slater, Gautam Biswas

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

Affect-Targeted Interviews for Understanding Student Frustration.

Ryan S. Baker, Nidhi Nasiar, Jaclyn L. Ocumpaugh, Stephen Hutt, Juliana Ma. Alexandra L. Andres, Stefan Slater, Matthew Schofield, Allison L. Moore, Luc Paquette, Anabil Munshi, Gautam Biswas

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

Towards Sharing Student Models Across Learning Systems.

Ryan S. Baker, Bruce M. McLaren, Stephen Hutt, J. Elizabeth Richey, Elizabeth Rowe, Ma. Victoria Almeda, Michael Mogessie Ashenafi, Juliana Ma. Alexandra L. Andres

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

2019

More confusion and frustration, better learning: The impact of erroneous examples.

J. Elizabeth Richey, Juan Miguel L. Andres-Bray, Michael Mogessie Ashenafi, Richard Scruggs, Juliana Ma. Alexandra L. Andres, Jon Star, Ryan S. Baker, Bruce M. McLaren

Comput. Educ., 2019

Affect Sequences and Learning in Betty's Brain.

Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Luc Paquette, Yang Jiang, Shamya Karumbaiah, Nigel Bosch, Anabil Munshi, Allison L. Moore, Gautam Biswas

Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

2018

Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection?

Yang Jiang, Nigel Bosch, Ryan S. Baker, Luc Paquette, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Allison L. Moore, Gautam Biswas

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

2016

Wheel-Spinning in a Game-Based Learning Environment for Physics.

Thelma D. Palaoag, Ma. Mercedes T. Rodrigo, Juan Miguel L. Andres, Juliana Ma. Alexandra L. Andres, Joseph E. Beck

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