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Using Exploratory Data Analysis to Support Implementation and Improvement of Education Technology Product

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Artificial Intelligence in Education (AIED 2019)

Abstract

ST Math is a visual instructional game-based program that builds a deep conceptual understanding of mathematics through rigorous learning and creative problem solving. It is widely adopted in many elementary schools in the US. In this paper, we describe the exploratory data analysis we conducted on system log data of kindergarten students to discover patterns in students’ interaction with the system, and to examine productivity and engagement of students with different profiles. The findings informed the implementation of the program in schools as well as improvement of individual games in the program to render more effective student learning.

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Correspondence to Mingyu Feng .

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Feng, M., Brenner, D., Coulson, A. (2019). Using Exploratory Data Analysis to Support Implementation and Improvement of Education Technology Product. In: Isotani, S., Millán, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds) Artificial Intelligence in Education. AIED 2019. Lecture Notes in Computer Science(), vol 11626. Springer, Cham. https://doi.org/10.1007/978-3-030-23207-8_15

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  • DOI: https://doi.org/10.1007/978-3-030-23207-8_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23206-1

  • Online ISBN: 978-3-030-23207-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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