Intelligent Tutoring Systems with Multiple Representations and Self-Explanation Prompts Support Learning of Fractions. - Martina A. Rau; Vincent Aleven; Nikol Rummel (AIED, 2009)

Blocked versus Interleaved Practice with Multiple Representations in an Intelligent Tutoring System for Fractions. - Martina A. Rau; Vincent Aleven; Nikol Rummel (Intelligent Tutoring Systems (1), 2010)

Thinking with Your Hands: Interactive Graphical Representations in a Tutor for Fractions Learning. - Laurens Feenstra; Vincent Aleven; Nikol Rummel; Martina A. Rau; Niels Taatgen (AIED, 2011)

TimeBlocks: mom, can i have another block of time? - Eiji Hayashi; Martina A. Rau; Zhe Han Neo; Nastasha Tan; Sriram Ramasubramanian; Eric Paulos (CHI Extended Abstracts, 2012)

Investigating Practice Schedules of Multiple Fraction Representations Using Knowledge Tracing Based Learning Analysis Techniques. - Martina A. Rau; Zachary A. Pardos (EDM, 2012)

Searching for Variables and Models to Investigate Mediators of Learning from Multiple Representations. - Martina A. Rau; Richard Scheines (EDM, 2012)

How to Schedule Multiple Graphical Representations? A Classroom Experiment With an Intelligent Tutoring System for Fractions. - Martina A. Rau; Nikol Rummel; Vincent Aleven; Laura Pacilio; Zelha Tunc-Pekkan (ICLS, 2012)

Sense Making Alone Doesn't Do It: Fluency Matters Too! ITS Support for Robust Learning with Multiple Representations. - Martina A. Rau; Vincent Aleven; Nikol Rummel; Stacie Rohrbach (ITS, 2012)

Representing Space: Exploring the Relationship between Gesturing and Geoscience Understanding in Children. - Bryan J. Matlen; Kinnari Atit; Tilbe Göksun; Martina A. Rau; Maria Ptouchkina (Spatial Cognition, 2012)

Complementary Effects of Sense-Making and Fluency-Building Support for Connection Making: A Matter of Sequence? - Martina A. Rau; Vincent Aleven; Nikol Rummel (AIED, 2013)

How to Use Multiple Graphical Representations to Support Conceptual Learning? Research-Based Principles in the Fractions Tutor. - Martina A. Rau; Vincent Aleven; Nikol Rummel (AIED, 2013)

Why interactive learning environments can have it all: resolving design conflicts between competing goals. - Martina A. Rau; Vincent Aleven; Nikol Rummel; Stacie Rohrbach (CHI, 2013)

Student Profiling from Tutoring System Log Data: When do Multiple Graphical Representations Matter? - Ryan Carlson; Konstantin Genin; Martina A. Rau; Richard Scheines (EDM, 2013)

Does Representational Understanding Enhance Fluency - Or Vice Versa? Searching for Mediation Models. - Martina A. Rau; Richard Scheines; Vincent Aleven; Nikol Rummel (EDM, 2013)

Conceptual learning with multiple graphical representations: Intelligent tutoring systems support for sense-making and fluency-building processes. - Martina A. Rau (2013)

Sequencing Sense-Making and Fluency-Building Support for Connection Making between Multiple Graphical Representations. - Martina A. Rau; Vincent Aleven; Nikol Rummel (ICLS, 2014)

Multi-methods Approach for Domain-Specific Grounding: An ITS for Connection Making in Chemistry. - Martina A. Rau; Amanda L. Evenstone (Intelligent Tutoring Systems, 2014)

How Should Intelligent Tutoring Systems Sequence Multiple Graphical Representations of Fractions? A Multi-Methods Study. - Martina A. Rau; Vincent Aleven; Nikol Rummel; Zachary A. Pardos (Int. J. Artif. Intell. Educ., 2014)

Understanding Student Success in Chemistry Using Gaze Tracking and Pupillometry. - Joshua C. Peterson; Zachary A. Pardos; Martina A. Rau; Anna Swigart; Colin Gerber; Jonathan McKinsey (AIED, 2015)

ITS Support for Conceptual and Perceptual Connection Making Between Multiple Graphical Representations. - Martina A. Rau; Sally P. W. Wu (AIED, 2015)

Why Do the Rich Get Richer? A Structural Equation Model to Test How Spatial Skills Affect Learning with Representations. - Martina A. Rau (EDM, 2015)

Connection making between multiple graphical representations: A multi-methods approach for domain-specific grounding of an intelligent tutoring system for chemistry. - Martina A. Rau; Joseph E. Michaelis; Natalie Fay (Comput. Educ., 2015)

Pattern mining uncovers social prompts of conceptual learning with physical and virtual representations. - Martina A. Rau (EDM, 2016)

How to Model Implicit Knowledge? Similarity Learning Methods to Assess Perceptions of Visual Representations. - Martina A. Rau; Blake Mason; Robert D. Nowak (EDM, 2016)

Adding eye-tracking AOI data to models of representation skills does not improve prediction accuracy. - Martina A. Rau; Zachary A. Pardos (EDM, 2016)

Educational Technology Support for Collaborative Learning With Multiple Visual Representations in Chemistry. - Martina A. Rau; Sally P. W. Wu (CSCL, 2017)

CSCL and Eye-Tracking: Experiences, Opportunities and Challenges. - 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, 2017)

How Technology and Collaboration Promote Formative Feedback: A Role for CSCL Research in Active Learning Interventions. - Sally P. W. Wu; Martina A. Rau (CSCL, 2017)

Do Knowledge-Component Models Need to Incorporate Representational Competencies? - Martina A. Rau (Int. J. Artif. Intell. Educ., 2017)

An adaptive collaboration script for learning with multiple visual representations in chemistry. - Martina A. Rau; Hannah E. Bowman; John W. Moore (Comput. Educ., 2017)

A Framework for Educational Technologies that Support Representational Competencies. - Martina A. Rau (IEEE Trans. Learn. Technol., 2017)

How do Students Learn to See Concepts in Visualizations? Social Learning Mechanisms with Physical and Virtual Representations. - Martina A. Rau (J. Learn. Anal., 2017)

For Teaching Perceptual Fluency, Machines Beat Human Experts. - Ayon Sen; Purav Patel; Martina A. Rau; Blake Mason; Robert Nowak 001; Timothy T. Rogers; Jerry Zhu (CogSci, 2018)

Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice. - Ayon Sen; Purav Patel; Martina A. Rau; Blake Mason; Robert Nowak 001; Timothy T. Rogers; Xiaojin Zhu 001 (EDM, 2018)

A Collaboration Script for Nonverbal Communication Enhances Perceptual Fluency with Visual Representations. - Martina A. Rau; Purav Patel (ICLS, 2018)

Sequencing Support for Sense Making and Perceptual Fluency with Visual Representations: Is There a Learning Progression? - Martina A. Rau; Miranda Zahn (ICLS, 2018)

Collaboration Scripts Should Focus on Shared Models, Not on Drawings, to Help Students Translate Between Representations. - Sally P. W. Wu; Martina A. Rau (ICLS, 2018)

Using Machine Learning to Overcome the Expert Blind Spot for Perceptual Fluency Trainings. - Martina A. Rau; Ayon Sen; Xiaojin Zhu 001 (AIED (1), 2019)

Disentangling Conceptual and Embodied Mechanisms for Learning with Virtual and Physical Representations. - Martina A. Rau; Tara A. Schmidt (AIED (1), 2019)

Adaptive Support for Representation Skills in a Chemistry ITS Is More Effective Than Static Support. - Martina A. Rau; Miranda Zahn; Edward Misback; Judith Burstyn (AIED (1), 2019)

How instructors frame students' interactions with educational technologies can enhance or reduce learning with multiple representations. - Sally P. W. Wu; Jainaba Corr; Martina A. Rau (Comput. Educ., 2019)

Cognitive Task Analysis for Implicit Knowledge About Visual Representations With Similarity Learning Methods. - Blake Mason; Martina A. Rau; Robert D. Nowak (Cogn. Sci., 2019)

Do Affordances of Classroom Furniture Affect Learning in Undergraduate Active-Learning Courses? - Martina A. Rau; John Moore; Judith Burstyn (ICLS, 2020)

Design Tradeoffs of Interactive Visualization Tools for Educational Technologies. - Martina Angela Rau; Will Keesler; Ying Zhang; Sally P. W. Wu (IEEE Trans. Learn. Technol., 2020)

Embodied Learning with Physical and Virtual Manipulatives in an Intelligent Tutor for Chemistry. - Joel P. Beier; Martina A. Rau (AIED (1), 2022)

Supporting Representational Competencies in an Educational Video Game: What Does and Doesn't Work. - Tiffany Herder; Martina A. Rau (AIED (2), 2022)

Nonverbal Collaboration on Perceptual Learning Activities with Chemistry Visualizations. - Martina A. Rau; Miranda Zahn (AIED (2), 2022)

Preparing Future Learning with Novel Visuals by Supporting Representational Competencies. - Jihyun Rho; Martina A. Rau; Barry D. Van Veen (AIED (1), 2022)

Investigating Growth of Representational Competencies by Knowledge-Component Model. - Jihyun Rho; Martina A. Rau; Barry Vanveen (EDM, 2022)

Representational-competency supports in the context of an educational video game for undergraduate astronomy. - Tiffany Herder; Martina A. Rau (Comput. Educ., 2022)

Development of an Intelligent Tutoring System That Assesses Internal Visualization Skills in Engineering Using Multimodal Triangulation. - Hanall Sung; Martina A. Rau; Barry D. Van Veen (IEEE Trans. Learn. Technol., 2024)

How Instructional Sequence and Personalized Support Impact Diagnostic Strategy Learning. - Fatma Betül Güres; Tanya Nazaretsky; Bahar Radmehr; Martina A. Rau; Tanja Käser (AIED (6), 2025)

Inoculating students against misleading data visualizations with perceptual training and informative feedback. - Jihyun Rho; Martina Angela Rau; Xiaojin Zhu 001 (Comput. Educ., 2025)