M. Rau

Most-cited papers

1. Conditions for the Effectiveness of Multiple Visual Representations in Enhancing STEM Learning

   M. Rau

   2017268 citations

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2. How Students Learn Content in Science, Technology, Engineering, and Mathematics (STEM) Through Drawing Activities

   Sally P. W. Wu, M. Rau

   2019Educational Psychology Review95 citations

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3. Intelligent Tutoring Systems with Multiple Representations and Self-Explanation Prompts Support Learning of Fractions

   M. Rau, V. Aleven, N. Rummel

   2009International Conference on Artificial Intelligence in Education93 citations

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4. Successful learning with multiple graphical representations and self-explanation prompts.

   M. Rau, V. Aleven, N. Rummel

   201584 citations

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5. Unpacking “Active Learning”: A Combination of Flipped Classroom and Collaboration Support Is More Effective but Collaboration Support Alone Is Not

   M. Rau, Kristopher Kennedy, Lucas J. Oxtoby, Mark A. Bollom +1 more

   201779 citations

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6. How to make ‘more’ better? Principles for effective use of multiple representations to enhance students’ learning about fractions

   M. Rau, P. Matthews

   201777 citations

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7. Interleaved Practice in Multi-Dimensional Learning Tasks: Which Dimension Should We Interleave?.

   M. Rau, V. Aleven, N. Rummel

   201374 citations

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8. Connection making between multiple graphical representations: A multi-methods approach for domain-specific grounding of an intelligent tutoring system for chemistry

   M. Rau, Joseph E. Michaelis, Natalie Fay

   2015Comput. Educ.66 citations

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9. How Should Intelligent Tutoring Systems Sequence Multiple Graphical Representations of Fractions? A Multi-Methods Study

   M. Rau, V. Aleven, N. Rummel, Z. Pardos

   2014International Journal of Artificial Intelligence in Education54 citations Open access

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10. Sense Making Alone Doesn't Do It: Fluency Matters Too! ITS Support for Robust Learning with Multiple Representations

    M. Rau, V. Aleven, N. Rummel, Stacie Rohrbach

    2012International Conference on Intelligent Tutoring Systems52 citations

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11. Comparing Multiple Theories about Learning with Physical and Virtual Representations: Conflicting or Complementary Effects?

    M. Rau

    2020Educational Psychology Review50 citations

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12. Effectiveness and efficiency of adding drawing prompts to an interactive educational technology when learning with visual representations

    Sally P. W. Wu, M. Rau

    2017Learning and Instruction49 citations Open access

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13. An adaptive collaboration script for learning with multiple visual representations in chemistry

    M. Rau, Hannah E. Bowman, J. W. Moore

    2017Comput. Educ.43 citations

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14. Making connections among multiple visual representations: how do sense-making skills and perceptual fluency relate to learning of chemistry knowledge?

    M. Rau

    201833 citations

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15. Enhancing undergraduate chemistry learning by helping students make connections among multiple graphical representations

    M. Rau

    201532 citations

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16. Blocked versus Interleaved Practice with Multiple Representations in an Intelligent Tutoring System for Fractions

    M. Rau, V. Aleven, N. Rummel

    2010International Conference on Intelligent Tutoring Systems32 citations

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17. How drawing prompts can increase cognitive engagement in an active learning engineering course

    Sally P. W. Wu, B. Van Veen, M. Rau

    2020Journal of Engineering Education31 citations

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18. Supporting Students in Making Sense of Connections and in Becoming Perceptually Fluent in Making Connections Among Multiple Graphical Representations

    M. Rau, V. Aleven, N. Rummel

    201729 citations Open access

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19. Making connections among multiple graphical representations of fractions: sense-making competencies enhance perceptual fluency, but not vice versa

    M. Rau, V. Aleven, N. Rummel

    201727 citations

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20. Why interactive learning environments can have it all: resolving design conflicts between competing goals

    M. Rau, V. Aleven, N. Rummel, Stacie Rohrbach

    2013International Conference on Human Factors in Computing Systems25 citations

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21. A Framework for Educational Technologies that Support Representational Competencies

    M. Rau

    2017IEEE Transactions on Learning Technologies24 citations Open access

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22. Under which conditions are physical versus virtual representations effective? Contrasting conceptual and embodied mechanisms of learning.

    M. Rau, Tiffany Herder

    2021Journal of Educational Psychology21 citations Open access

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23. How to Schedule Multiple Graphical Representations? A Classroom Experiment With an Intelligent Tutoring System for Fractions

    M. Rau, N. Rummel, V. Aleven, Laura E Pacilio +1 more

    2012International Conference of the Learning Sciences21 citations

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24. Adaptive support for representational competencies during technology-based problem solving in chemistry

    M. Rau, Miranda Zahn, Edward Misback, Tiffany Herder +1 more

    2021The Journal of the Learning Sciences19 citations

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25. Understanding Student Success in Chemistry Using Gaze Tracking and Pupillometry

    Joshua C. Peterson, Z. Pardos, M. Rau, Anna Swigart +2 more

    2015International Conference on Artificial Intelligence in Education18 citations

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26. How instructors frame students' interactions with educational technologies can enhance or reduce learning with multiple representations

    Sally P. W. Wu, Jainaba Corr, M. Rau

    2019Comput. Educ.16 citations Open access

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27. How do Students Learn to See Concepts in Visualizations? Social Learning Mechanisms with Physical and Virtual Representations

    M. Rau

    2017Journal of Learning Analytics15 citations Open access

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28. Sequencing Support for Sense Making and Perceptual Induction of Connections Among Multiple Visual Representations

    M. Rau

    2017Journal of Educational Psychology14 citations Open access

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29. Searching for Variables and Models to Investigate Mediators of Learning from Multiple Representations

    M. Rau, R. Scheines

    2012Educational Data Mining14 citations

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30. How to Model Implicit Knowledge? Similarity Learning Methods to Assess Perceptions of Visual Representations

    M. Rau, Blake Mason, R. Nowak

    2016Educational Data Mining13 citations

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31. TimeBlocks: mom, can I have another block of time

    Eiji Hayashi, M. Rau, Zhe Han Neo, N. Tan +2 more

    2012International Conference on Human Factors in Computing Systems13 citations

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32. Making the invisible visible: Visualization of the connection between magnetic field, electric current, and Lorentz force with the help of augmented reality

    Anna Donhauser, S. Küchemann, Jochen Kuhn, M. Rau +3 more

    202012 citations

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33. Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice

    Ayon Sen, Purav Patel, M. Rau, Blake Mason +3 more

    2018Educational Data Mining12 citations

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34. Do Knowledge-Component Models Need to Incorporate Representational Competencies?

    M. Rau

    2017International Journal of Artificial Intelligence in Education12 citations Open access

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35. Does Representational Understanding Enhance Fluency - Or Vice Versa? Searching for Mediation Models

    M. Rau, R. Scheines, V. Aleven, N. Rummel

    2013Educational Data Mining11 citations

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36. Combining Instructional Activities for Sense-Making Processes and Perceptual-Induction Processes Involved in Connection-Making Among Multiple Visual Representations

    M. Rau, Sally P. W. Wu

    2018Cognition and Instruction10 citations

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37. ITS Support for Conceptual and Perceptual Connection Making Between Multiple Graphical Representations

    M. Rau, Sally P. W. Wu

    2015International Conference on Artificial Intelligence in Education9 citations

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38. Complementary Effects of Sense-Making and Fluency-Building Support for Connection Making: A Matter of Sequence?

    M. Rau, V. Aleven, N. Rummel

    2013International Conference on Artificial Intelligence in Education9 citations

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39. Student Profiling from Tutoring System Log Data: When do Multiple Graphical Representations Matter?

    R. Carlson, K. Genin, M. Rau, R. Scheines

    2013Educational Data Mining9 citations

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40. Design Tradeoffs of Interactive Visualization Tools for Educational Technologies

    M. Rau, Will Keesler, Y. Zhang, Sally P. W. Wu

    2020IEEE Transactions on Learning Technologies8 citations Open access

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41. How to Use Multiple Graphical Representations to Support Conceptual Learning? Research-Based Principles in the Fractions Tutor

    M. Rau, V. Aleven, N. Rummel

    2013International Conference on Artificial Intelligence in Education8 citations

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42. Representing Space: Exploring the Relationship between Gesturing and Geoscience Understanding in Children

    Bryan J. Matlen, K. Atit, T. Göksun, M. Rau +1 more

    2012Spatial Cognition8 citations

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43. Cognitive and Socio-Cultural Theories on Competencies and Practices Involved in Learning with Multiple External Representations

    M. Rau

    20207 citations

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44. Multi-methods Approach for Domain-Specific Grounding: An ITS for Connection Making in Chemistry

    M. Rau, Amanda L. Evenstone

    2014International Conference on Intelligent Tutoring Systems7 citations

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45. Representational-competency supports in the context of an educational video game for undergraduate astronomy

    Tiffany Herder, M. Rau

    2022Comput. Educ.6 citations

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46. Embodied Learning with Physical and Virtual Manipulatives in an Intelligent Tutor for Chemistry

    Joel P. Beier, M. Rau

    2022International Conference on Artificial Intelligence in Education6 citations

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47. Conceptual learning with multiple graphical representations: Intelligent tutoring systems support for sense-making and fluency-building processes

    M. Rau

    20136 citations

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48. Using Machine Learning to Overcome the Expert Blind Spot for Perceptual Fluency Trainings

    M. Rau, Ayon Sen, Xiao-Jin Zhu

    2019International Conference on Artificial Intelligence in Education5 citations

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49. Cognitive Task Analysis for Implicit Knowledge About Visual Representations With Similarity Learning Methods

    Blake Mason, M. Rau, R. Nowak

    2019Cognitive Sciences5 citations Open access

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50. CSCL and Eye-Tracking: Experiences, Opportunities and Challenges

    K. Sharma, Patrick Jermann, P. Dillenbourg, L. P. Prieto +6 more

    2017International Conference on Computer Supported Collaborative Learning5 citations

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