Spatial Intelligence as Related to Success on Regular and Constrained Electronic Puzzle Formats

Spatial Intelligence as Related to Success on Regular and Constrained Electronic Puzzle Formats

Gayatri Mehta

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Rani Deepika Balavendran Joseph

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Tika Malla

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Thomas Miles

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Jeanne Tunks

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University of North Texas

Spatial Intelligence as Related to Success on Regular and Constrained Electronic Puzzle Formats

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Abstract

This paper is focused on how spatial learners perform on regular and constrained puzzles in an online scientific game. We used UNTANGLED, an interactive game to conduct the study presented in this manuscript. Players were presented a set of puzzles in both regular and constrained versions. The motivation behind this study was to examine the success rate of spatial learners in regular and constrained settings of the same puzzles. Our results suggest that spatially intelligent participants who played both regular and constrained puzzle format of the same game showed significant differences at the p=.05 level, indicating a level of spatial intelligence that is unprecedented. These participants showed signs of spatial intelligence necessary to solve electrical engineering problems. Our findings suggest a valuable use for electronic puzzles/games to determine which students are spatially intelligent, and potentially suited to engineering.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Gayatri Mehta. 2017. \u201cSpatial Intelligence as Related to Success on Regular and Constrained Electronic Puzzle Formats\u201d. Global Journal of Computer Science and Technology - A: Hardware & Computation GJCST-A Volume 17 (GJCST Volume 17 Issue A1): .

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GJCST Volume 17 Issue A1
Pg. 1- 7

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-A Classification: I.2.8, I.2.m

Submission ReceivedDecember 6, 2016
Peer Review Double Blind
Handling Editor
Accepted December 31, 2016
Published January 15, 2017

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v1.2

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December 15, 2017

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Article Matrices

Total Score: 135

Country: United States

Subject: Global Journal of Computer Science and Technology - A: Hardware & Computation

Authors: Rani Deepika Balavendran Joseph, Tika Malla, Thomas Miles, Jeanne Tunks, Gayatri Mehta (PhD/Dr. count: 0)

View Count (all-time): 285

Total Views (Real + Logic): 6803

Total Downloads (simulated): 1712

Publish Date: 2017 12, Fri

Monthly Totals (Real + Logic):

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Total Views: 6803

Total Downloads: 1712

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