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2020 – today
- 2024
[j11]Hanall Sung
, Martina A. Rau, Barry D. Van Veen:
Development of an Intelligent Tutoring System That Assesses Internal Visualization Skills in Engineering Using Multimodal Triangulation. IEEE Trans. Learn. Technol. 17: 1625-1638 (2024)- 2022
- [j10]Tiffany Herder, Martina A. Rau:
Representational-competency supports in the context of an educational video game for undergraduate astronomy. Comput. Educ. 190: 104602 (2022) - [c40]Jihyun Rho, Martina A. Rau, Barry D. Van Veen:
Preparing Future Learning with Novel Visuals by Supporting Representational Competencies. AIED (1) 2022: 66-77 - [c39]Joel P. Beier, Martina A. Rau:
Embodied Learning with Physical and Virtual Manipulatives in an Intelligent Tutor for Chemistry. AIED (1) 2022: 103-114 - [c38]Martina A. Rau, Miranda Zahn:
Nonverbal Collaboration on Perceptual Learning Activities with Chemistry Visualizations. AIED (2) 2022: 231-235 - [c37]Tiffany Herder, Martina A. Rau:
Supporting Representational Competencies in an Educational Video Game: What Does and Doesn't Work. AIED (2) 2022: 280-283 - [c36]Jihyun Rho, Martina A. Rau, Barry Vanveen:
Investigating Growth of Representational Competencies by Knowledge-Component Model. EDM 2022 - 2020
- [j9]Martina Angela Rau, Will Keesler, Ying Zhang, Sally P. W. Wu:
Design Tradeoffs of Interactive Visualization Tools for Educational Technologies. IEEE Trans. Learn. Technol. 13(2): 326-339 (2020) - [c35]Martina A. Rau, John Moore, Judith Burstyn:
Do Affordances of Classroom Furniture Affect Learning in Undergraduate Active-Learning Courses? ICLS 2020
2010 – 2019
- 2019
- [j8]Sally P. W. Wu, Jainaba Corr, Martina A. Rau:
How instructors frame students' interactions with educational technologies can enhance or reduce learning with multiple representations. Comput. Educ. 128: 199-213 (2019) - [j7]Blake Mason, Martina A. Rau, Robert D. Nowak:
Cognitive Task Analysis for Implicit Knowledge About Visual Representations With Similarity Learning Methods. Cogn. Sci. 43(9) (2019) - [c34]Martina A. Rau, Ayon Sen, Xiaojin Zhu:
Using Machine Learning to Overcome the Expert Blind Spot for Perceptual Fluency Trainings. AIED (1) 2019: 406-418 - [c33]Martina A. Rau, Tara A. Schmidt:
Disentangling Conceptual and Embodied Mechanisms for Learning with Virtual and Physical Representations. AIED (1) 2019: 419-431 - [c32]Martina A. Rau, Miranda Zahn, Edward Misback, Judith Burstyn:
Adaptive Support for Representation Skills in a Chemistry ITS Is More Effective Than Static Support. AIED (1) 2019: 432-444 - 2018
- [c31]Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Jerry Zhu:
For Teaching Perceptual Fluency, Machines Beat Human Experts. CogSci 2018 - [c30]Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Xiaojin Zhu:
Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice. EDM 2018 - [c29]Martina A. Rau, Purav Patel:
A Collaboration Script for Nonverbal Communication Enhances Perceptual Fluency with Visual Representations. ICLS 2018 - [c28]Martina A. Rau, Miranda Zahn:
Sequencing Support for Sense Making and Perceptual Fluency with Visual Representations: Is There a Learning Progression? ICLS 2018 - [c27]Sally P. W. Wu, Martina A. Rau:
Collaboration Scripts Should Focus on Shared Models, Not on Drawings, to Help Students Translate Between Representations. ICLS 2018 - [e1]Chuck Kalish, Martina A. Rau, Xiaojin (Jerry) Zhu, Timothy T. Rogers:
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018, Madison, WI, USA, July 25-28, 2018. cognitivesciencesociety.org 2018, ISBN 978-0-9911967-8-4 [contents] - 2017
- [j6]Martina A. Rau:
Do Knowledge-Component Models Need to Incorporate Representational Competencies? Int. J. Artif. Intell. Educ. 27(2): 298-319 (2017) - [j5]Martina A. Rau, Hannah E. Bowman, John W. Moore:
An adaptive collaboration script for learning with multiple visual representations in chemistry. Comput. Educ. 109: 38-55 (2017) - [j4]Martina A. Rau:
How do Students Learn to See Concepts in Visualizations? Social Learning Mechanisms with Physical and Virtual Representations. J. Learn. Anal. 4(2) (2017) - [j3]Martina A. Rau:
A Framework for Educational Technologies that Support Representational Competencies. IEEE Trans. Learn. Technol. 10(3): 290-305 (2017) - [c26]Martina A. Rau, Sally P. W. Wu:
Educational Technology Support for Collaborative Learning With Multiple Visual Representations in Chemistry. CSCL 2017 - [c25]Kshitij Sharma, Patrick Jermann, Pierre Dillenbourg, Luis Pablo Prieto, Sarah D'Angelo, Darren Gergle, Bertrand Schneider, Martina A. Rau, Zachary A. Pardos, Nikol Rummel:
CSCL and Eye-Tracking: Experiences, Opportunities and Challenges. CSCL 2017 - [c24]Sally P. W. Wu, Martina A. Rau:
How Technology and Collaboration Promote Formative Feedback: A Role for CSCL Research in Active Learning Interventions. CSCL 2017 - 2016
- [c23]Martina A. Rau, Blake Mason, Robert D. Nowak:
How to Model Implicit Knowledge? Similarity Learning Methods to Assess Perceptions of Visual Representations. EDM 2016: 199-206 - [c22]Martina A. Rau:
Pattern mining uncovers social prompts of conceptual learning with physical and virtual representations. EDM 2016: 478-483 - [c21]Martina A. Rau, Zachary A. Pardos:
Adding eye-tracking AOI data to models of representation skills does not improve prediction accuracy. EDM 2016: 622-623 - 2015
- [j2]Martina A. Rau, Joseph E. Michaelis, Natalie Fay:
Connection making between multiple graphical representations: A multi-methods approach for domain-specific grounding of an intelligent tutoring system for chemistry. Comput. Educ. 82: 460-485 (2015) - [c20]Joshua C. Peterson, Zachary A. Pardos, Martina A. Rau, Anna Swigart, Colin Gerber, Jonathan McKinsey:
Understanding Student Success in Chemistry Using Gaze Tracking and Pupillometry. AIED 2015: 358-366 - [c19]Martina A. Rau, Sally P. W. Wu:
ITS Support for Conceptual and Perceptual Connection Making Between Multiple Graphical Representations. AIED 2015: 398-407 - [c18]Martina A. Rau:
Why Do the Rich Get Richer? A Structural Equation Model to Test How Spatial Skills Affect Learning with Representations. EDM 2015: 350-357 - 2014
- [j1]Martina A. Rau, Vincent Aleven, Nikol Rummel, Zachary A. Pardos:
How Should Intelligent Tutoring Systems Sequence Multiple Graphical Representations of Fractions? A Multi-Methods Study. Int. J. Artif. Intell. Educ. 24(2): 125-161 (2014) - [c17]Martina A. Rau, Vincent Aleven, Nikol Rummel:
Sequencing Sense-Making and Fluency-Building Support for Connection Making between Multiple Graphical Representations. ICLS 2014 - [c16]Martina A. Rau, Amanda L. Evenstone:
Multi-methods Approach for Domain-Specific Grounding: An ITS for Connection Making in Chemistry. Intelligent Tutoring Systems 2014: 426-435 - 2013
- [b1]Martina A. Rau:
Conceptual learning with multiple graphical representations: Intelligent tutoring systems support for sense-making and fluency-building processes. Carnegie Mellon University, USA, 2013 - [c15]Martina A. Rau, Vincent Aleven, Nikol Rummel:
Complementary Effects of Sense-Making and Fluency-Building Support for Connection Making: A Matter of Sequence? AIED 2013: 329-338 - [c14]Martina A. Rau, Vincent Aleven, Nikol Rummel:
How to Use Multiple Graphical Representations to Support Conceptual Learning? Research-Based Principles in the Fractions Tutor. AIED 2013: 762-765 - [c13]Martina A. Rau, Vincent Aleven, Nikol Rummel, Stacie Rohrbach:
Why interactive learning environments can have it all: resolving design conflicts between competing goals. CHI 2013: 109-118 - [c12]Ryan Carlson, Konstantin Genin, Martina A. Rau, Richard Scheines:
Student Profiling from Tutoring System Log Data: When do Multiple Graphical Representations Matter? EDM 2013: 12-19 - [c11]Martina A. Rau, Richard Scheines, Vincent Aleven, Nikol Rummel:
Does Representational Understanding Enhance Fluency - Or Vice Versa? Searching for Mediation Models. EDM 2013: 161-168 - 2012
- [c10]Eiji Hayashi, Martina A. Rau, Zhe Han Neo, Nastasha Tan, Sriram Ramasubramanian, Eric Paulos:
TimeBlocks: mom, can i have another block of time? CHI Extended Abstracts 2012: 1429-1430 - [c9]Eiji Hayashi, Martina A. Rau, Zhe Han Neo, Nastasha Tan, Sriram Ramasubramanian, Eric Paulos:
TimeBlocks: mom, can I have another block of time. CHI 2012: 1713-1716 - [c8]Martina A. Rau, Richard Scheines:
Searching for Variables and Models to Investigate Mediators of Learning from Multiple Representations. EDM 2012: 110-117 - [c7]Martina A. Rau, Zachary A. Pardos:
Investigating Practice Schedules of Multiple Fraction Representations Using Knowledge Tracing Based Learning Analysis Techniques. EDM 2012: 168-171 - [c6]Martina A. Rau, Nikol Rummel, Vincent Aleven, Laura Pacilio, Zelha Tunc-Pekkan:
How to Schedule Multiple Graphical Representations? A Classroom Experiment With an Intelligent Tutoring System for Fractions. ICLS 2012 - [c5]Martina A. Rau, Vincent Aleven, Nikol Rummel, Stacie Rohrbach:
Sense Making Alone Doesn't Do It: Fluency Matters Too! ITS Support for Robust Learning with Multiple Representations. ITS 2012: 174-184 - [c4]Bryan J. Matlen, Kinnari Atit, Tilbe Göksun, Martina A. Rau, Maria Ptouchkina:
Representing Space: Exploring the Relationship between Gesturing and Geoscience Understanding in Children. Spatial Cognition 2012: 405-415 - 2011
- [c3]Laurens Feenstra, Vincent Aleven, Nikol Rummel, Martina A. Rau, Niels Taatgen:
Thinking with Your Hands: Interactive Graphical Representations in a Tutor for Fractions Learning. AIED 2011: 453-455 - 2010
- [c2]Martina A. Rau, Vincent Aleven, Nikol Rummel:
Blocked versus Interleaved Practice with Multiple Representations in an Intelligent Tutoring System for Fractions. Intelligent Tutoring Systems (1) 2010: 413-422
2000 – 2009
- 2009
- [c1]Martina A. Rau, Vincent Aleven, Nikol Rummel:
Intelligent Tutoring Systems with Multiple Representations and Self-Explanation Prompts Support Learning of Fractions. AIED 2009: 441-448
Coauthor Index
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