Martina A. Rau

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 28

Top Topics

Learning Mechanism

Graphical Representations

Visual Representation

Top Venues

Publications

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 (2024)
Tiffany Herder, Martina A. Rau
Representational-competency supports in the context of an educational video game for undergraduate astronomy. Comput. Educ. 190 (2022)
Jihyun Rho, Martina A. Rau, Barry D. Van Veen
Preparing Future Learning with Novel Visuals by Supporting Representational Competencies. AIED (1) (2022)
Joel P. Beier, Martina A. Rau
Embodied Learning with Physical and Virtual Manipulatives in an Intelligent Tutor for Chemistry. AIED (1) (2022)
Martina A. Rau, Miranda Zahn
Nonverbal Collaboration on Perceptual Learning Activities with Chemistry Visualizations. AIED (2) (2022)
Tiffany Herder, Martina A. Rau
Supporting Representational Competencies in an Educational Video Game: What Does and Doesn't Work. AIED (2) (2022)
Jihyun Rho, Martina A. Rau, Barry Vanveen
Investigating Growth of Representational Competencies by Knowledge-Component Model. EDM (2022)
Martina A. Rau, John Moore, Judith Burstyn
Do Affordances of Classroom Furniture Affect Learning in Undergraduate Active-Learning Courses? ICLS (2020)
Martina A. Rau, Ayon Sen, Xiaojin Zhu
Using Machine Learning to Overcome the Expert Blind Spot for Perceptual Fluency Trainings. AIED (1) (2019)
Martina A. Rau, Tara A. Schmidt
Disentangling Conceptual and Embodied Mechanisms for Learning with Virtual and Physical Representations. AIED (1) (2019)
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)
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 (2019)
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)
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)
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)
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)
Martina A. Rau, Miranda Zahn
Sequencing Support for Sense Making and Perceptual Fluency with Visual Representations: Is There a Learning Progression? ICLS (2018)
Martina A. Rau, Purav Patel
A Collaboration Script for Nonverbal Communication Enhances Perceptual Fluency with Visual Representations. ICLS (2018)
Martina A. Rau, Hannah E. Bowman, John W. Moore
An adaptive collaboration script for learning with multiple visual representations in chemistry. Comput. Educ. 109 (2017)
Martina A. Rau, Sally P. W. Wu
Educational Technology Support for Collaborative Learning With Multiple Visual Representations in Chemistry. CSCL (2017)
Martina A. Rau
A Framework for Educational Technologies that Support Representational Competencies. IEEE Trans. Learn. Technol. 10 (3) (2017)
Martina A. Rau
Do Knowledge-Component Models Need to Incorporate Representational Competencies? Int. J. Artif. Intell. Educ. 27 (2) (2017)
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)
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)
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)
Martina A. Rau
Pattern mining uncovers social prompts of conceptual learning with physical and virtual representations. EDM (2016)
Martina A. Rau, Zachary A. Pardos
Adding eye-tracking AOI data to models of representation skills does not improve prediction accuracy. EDM (2016)
Martina A. Rau, Blake Mason, Robert D. Nowak
How to Model Implicit Knowledge? Similarity Learning Methods to Assess Perceptions of Visual Representations. EDM (2016)
Martina A. Rau, Sally P. W. Wu
ITS Support for Conceptual and Perceptual Connection Making Between Multiple Graphical Representations. AIED (2015)
Martina A. Rau
Why Do the Rich Get Richer? A Structural Equation Model to Test How Spatial Skills Affect Learning with Representations. EDM (2015)
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 (2015)
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)
Martina A. Rau, Vincent Aleven, Nikol Rummel
Sequencing Sense-Making and Fluency-Building Support for Connection Making between Multiple Graphical Representations. ICLS (2014)
Martina A. Rau, Amanda L. Evenstone
Multi-methods Approach for Domain-Specific Grounding: An ITS for Connection Making in Chemistry. Intelligent Tutoring Systems (2014)
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) (2014)
Martina A. Rau, Richard Scheines, Vincent Aleven, Nikol Rummel
Does Representational Understanding Enhance Fluency - Or Vice Versa? Searching for Mediation Models. EDM (2013)
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)
Ryan Carlson, Konstantin Genin, Martina A. Rau, Richard Scheines
Student Profiling from Tutoring System Log Data: When do Multiple Graphical Representations Matter? EDM (2013)
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)
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)
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)
Martina A. Rau, Zachary A. Pardos
Investigating Practice Schedules of Multiple Fraction Representations Using Knowledge Tracing Based Learning Analysis Techniques. EDM (2012)
Martina A. Rau, Richard Scheines
Searching for Variables and Models to Investigate Mediators of Learning from Multiple Representations. EDM (2012)
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)
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)
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)
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)
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)
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)
Martina A. Rau, Vincent Aleven, Nikol Rummel
Intelligent Tutoring Systems with Multiple Representations and Self-Explanation Prompts Support Learning of Fractions. AIED (2009)