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Personalized Visual Support Helps Students Learn! Visual skills determine which visual support is most effective. If students have low visual skills, they need conceptual support; if they have high visual skills, they need perceptual support. 0.00 0.05 0.10 0.15 0.20 perceptual support perceptual support conceptual support conceptual support high visual skills low visual skills learning gains Source: Rau, M. A., & Wu, S. P. W. (2015). ITS support for conceptual and perceptual processes in learning with multiple graphical representations. In C. Conati, N. Heffernan, A. Mitrovic, & M. F. Verdejo (Eds.), Artificial Intelligence in Education (pp. 398–407). Switzerland: Springer International Publishing. Technology-Supported Learning with Visuals Visuals Can Confuse Students Visuals Can Enhance Students’ Learning Social Support Students need to use vi- suals to collaborate with other students. Technol- ogies can support stu- dents in using visuals to collaborate with others by prompting them to discuss how the visuals show information and by supporting effective com- munication, and by assi- isting students in helping one another. Perceptual Support Similar to fluency in a verbal language, stu- dents need to become fluent in a visual lan- guage: they need to au- tomatically see meaning in visuals. Technologies can support this fluency by asking students to sort and classify visuals while providing real-time feed- back and select appropri- ate example sequences. Conceptual Support Students need to under- stand how visuals show concepts. Technologies can help students explain which visual features show which concepts and how different visuals compare to one another by giving feedback on students’ explanations. Technology Support for Visual Skills Educational technologies offer interactive visuals that students can construct and manipulate to solve prob- lems. Students’ interactions with these visuals yield data that the technology can use to diagnose students’ visual skills in real time. Based on this diagnosis, the technolo- gy can provide support that is tailored to the student’s needs. Besides helping stu- dents learn the visual skills themselves, such person- alized supports increase students’ learning of the do- main knowledge. 0.0 0.1 0.2 0.3 0.4 0.5 multiple visuals multiple visuals one visual one visual with support without support learning gains Common Practice is Does Not Help Students Learn! Common instruction uses multiple visu- als. But if students don’t know how the visuals show information, they don’t benefit from visuals. Therefore, they need support for visual skills. Source: Rau, M. A., Aleven, V., & Rummel, N. (2015). Successful learning with multiple graphical representations and self-explanation prompts. Journal of Educational Psychology, 107(1), 30-46 Nonsense! Water is not red! Water contains oxygen... Ah! The electrons are why ice floats! Source: Rau, M. A. (2016). Conditions for the effectiveness of multiple visual representations in enhancing STEM learning. Educational Psychology Review, 1-45. Do these visuals show the same molcules? Explain the differences between these visuals!

Technology-Supported Learning with Visuals › rau-lab › pubs › LRT-Info... · 2017-07-31 · the visuals show information, they don’t benefit from visuals. Therefore, they

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Page 1: Technology-Supported Learning with Visuals › rau-lab › pubs › LRT-Info... · 2017-07-31 · the visuals show information, they don’t benefit from visuals. Therefore, they

Personalized Visual Support Helps Students Learn!

Visual skills determine which visual support is most effective. If students have low visual skills, they need

conceptual support; if they have high visual skills, they need perceptual support.

0.00

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0.15

0.20

perc

eptu

al s

uppo

rt

perc

eptu

al s

uppo

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conc

eptu

al s

uppo

rt

conc

eptu

al s

uppo

rt

high visual skillslow visual skills

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Source: Rau, M. A., & Wu, S. P. W. (2015). ITS support for conceptual and perceptual processes in learning with multiple graphical representations. In C. Conati, N. Heffernan, A. Mitrovic, & M. F. Verdejo (Eds.), Artificial Intelligence in Education (pp. 398–407). Switzerland: Springer International Publishing.

Technology-Supported Learning with VisualsVisuals Can Confuse Students Visuals Can Enhance Students’ Learning

Social SupportStudents need to use vi-suals to collaborate with other students. Technol-ogies can support stu-dents in using visuals to collaborate with others by prompting them to discuss how the visuals show information and by supporting effective com-munication, and by assi-isting students in helping one another.

Perceptual SupportSimilar to fluency in a verbal language, stu-dents need to become fluent in a visual lan-guage: they need to au-tomatically see meaning in visuals. Technologies can support this fluency by asking students to sort and classify visuals while providing real-time feed-back and select appropri-ate example sequences.

Conceptual SupportStudents need to under-stand how visuals show concepts. Technologies can help students explain which visual features show which concepts and how different visuals compare to one another by giving feedback on students’ explanations.

Technology Support for Visual SkillsEducational technologies offer interactive visuals that students can construct and manipulate to solve prob-lems. Students’ interactions with these visuals yield data that the technology can use to diagnose students’ visual skills in real time. Based on this diagnosis, the technolo-gy can provide support that is tailored to the student’s needs. Besides helping stu-dents learn the visual skills themselves, such person-alized supports increase students’ learning of the do-main knowledge.

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0.1

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multiplevisuals

multiplevisuals

onevisual

onevisual

with supportwithout support

lear

ning

gai

ns

Common Practice is Does Not Help Students Learn!Common instruction uses multiple visu-als. But if students don’t know how the visuals show information, they don’t benefit from visuals. Therefore, they need support for visual skills.

Source: Rau, M. A., Aleven, V., & Rummel, N. (2015). Successful learning with multiple graphical representations and self-explanation prompts. Journal of Educational Psychology, 107(1), 30-46

Nonsense! Water is not red!

Water contains oxygen... Ah! The electrons

are why ice floats!

Source: Rau, M. A. (2016). Conditions for the effectiveness of multiple visual representations in enhancing STEM learning. Educational Psychology Review, 1-45.

Do these visuals show the same molcules?

Explain the differences between these visuals!