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An Intelligent Educational Platform for Training Spatial Visualization Skills

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Published:05 March 2018Publication History

ABSTRACT

Current research has demonstrated the crucial role of spatial visualization skills in the Science, technology, engineering, and mathematics (STEM) related fields. Given the nationwide trend of the increasing population of university engineering students, more and more effort has been invested into how to effectively train students' spatial visualization skills. In this study, we designed and developed a scalable online platform for training spatial visualization skills. Our online platform is capable of intelligent learning features such as individualized learning trajectory and personalized hints. In the current stage of the project, we deployed the online platform with over 600 university students. By analyzing student's data, we identified a key question that has most predictive power on student's spatial visualization skill. The promising result shows a bright future for an intelligent learning platform.

References

  1. Yukiko Maeda and So Yoon Yoon. 2011. Scaling the Revised PSVT-R: Characteristics of the First-Year Engineering Students' Spatial Ability. In 2011 ASEE Annual Conference & Exposition. ASEE Conferences, Vancouver, BC. https://peer.asee.org/18522.Google ScholarGoogle Scholar
  2. Sheryl A Sorby. 2009. Educational research in developing 3-D spatial skills for engineering students. International Journal of Science Education 31, 3 (2009), 459--480.Google ScholarGoogle ScholarCross RefCross Ref

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  1. An Intelligent Educational Platform for Training Spatial Visualization Skills

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        • Published in

          cover image ACM Conferences
          IUI '18 Companion: Companion Proceedings of the 23rd International Conference on Intelligent User Interfaces
          March 2018
          141 pages
          ISBN:9781450355711
          DOI:10.1145/3180308

          Copyright © 2018 Owner/Author

          Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 5 March 2018

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          Qualifiers

          • poster
          • Research
          • Refereed limited

          Acceptance Rates

          IUI '18 Companion Paper Acceptance Rate63of127submissions,50%Overall Acceptance Rate746of2,811submissions,27%

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