Creating Explanatory Visualizations of Algorithms for Active Learning

Jonathan C. Roberts; James Jackson; Christopher Headleand; Panagiotis D. Ritsos

Creating Explanatory Visualizations of Algorithms for Active Learning

Jonathan C. Roberts
, James Jackson
, Christopher Headleand
, Panagiotis D. Ritsos

School of Computer Science & Engineering

University of Lincoln

Research output: Contribution to conference › Poster › peer-review

Abstract

Visualizations have been used to explain algorithms to learners, in order to help them understand complex processes. These ‘explanatory visualizations’ can help learners understand computer algorithms and data-structures. But most are created
by an educator and merely watched by the learner. In this paper, we explain how we get learners to plan and develop their own explanatory visualizations of algorithms. By actively developing their own visualizations learners gain a deeper insight of the algorithms that they are explaining. These depictions can also help other learners understand the algorithm.

Original language	English
Number of pages	2
Publication status	Published - 2016
Event	IEEE Conference on Visualization (IEEE VIS 2016), Baltimore, MD, USA: IEEE VIS 2016 - Maryland, Baltimore, United States Duration: 23 Oct 2016 → 28 Oct 2016 http://ieeevis.org/year/2016/info/registration/conference-venue

Conference

Conference	IEEE Conference on Visualization (IEEE VIS 2016), Baltimore, MD, USA
Abbreviated title	VIS'16
Country/Territory	United States
City	Baltimore
Period	23/10/16 → 28/10/16
Internet address	http://ieeevis.org/year/2016/info/registration/conference-venue

Keywords

Visualisation
Active Learning
Explanatory visualisation
Teaching
Algorithms
Human Computer Interaction
Computer Science

Access to Document

https://core.ac.uk/download/pdf/146470845.pdf

Cite this

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title = "Creating Explanatory Visualizations of Algorithms for Active Learning",

abstract = "Visualizations have been used to explain algorithms to learners, in order to help them understand complex processes. These {\textquoteleft}explanatory visualizations{\textquoteright} can help learners understand computer algorithms and data-structures. But most are created by an educator and merely watched by the learner. In this paper, we explain how we get learners to plan and develop their own explanatory visualizations of algorithms. By actively developing their own visualizations learners gain a deeper insight of the algorithms that they are explaining. These depictions can also help other learners understand the algorithm.",

keywords = "Visualisation, Active Learning, Explanatory visualisation, Teaching, Algorithms, Human Computer Interaction, Computer Science",

author = "Roberts, \{Jonathan C.\} and James Jackson and Christopher Headleand and Ritsos, \{Panagiotis D.\}",

year = "2016",

language = "English",

note = "IEEE Conference on Visualization (IEEE VIS 2016), Baltimore, MD, USA : IEEE VIS 2016, VIS'16 ; Conference date: 23-10-2016 Through 28-10-2016",

url = "http://ieeevis.org/year/2016/info/registration/conference-venue",

}

TY - CONF

T1 - Creating Explanatory Visualizations of Algorithms for Active Learning

AU - Roberts, Jonathan C.

AU - Jackson, James

AU - Headleand, Christopher

AU - Ritsos, Panagiotis D.

PY - 2016

Y1 - 2016

N2 - Visualizations have been used to explain algorithms to learners, in order to help them understand complex processes. These ‘explanatory visualizations’ can help learners understand computer algorithms and data-structures. But most are created by an educator and merely watched by the learner. In this paper, we explain how we get learners to plan and develop their own explanatory visualizations of algorithms. By actively developing their own visualizations learners gain a deeper insight of the algorithms that they are explaining. These depictions can also help other learners understand the algorithm.

AB - Visualizations have been used to explain algorithms to learners, in order to help them understand complex processes. These ‘explanatory visualizations’ can help learners understand computer algorithms and data-structures. But most are created by an educator and merely watched by the learner. In this paper, we explain how we get learners to plan and develop their own explanatory visualizations of algorithms. By actively developing their own visualizations learners gain a deeper insight of the algorithms that they are explaining. These depictions can also help other learners understand the algorithm.

KW - Visualisation

KW - Active Learning

KW - Explanatory visualisation

KW - Teaching

KW - Algorithms

KW - Human Computer Interaction

KW - Computer Science

UR - https://vimeo.com/182984932

M3 - Poster

T2 - IEEE Conference on Visualization (IEEE VIS 2016), Baltimore, MD, USA

Y2 - 23 October 2016 through 28 October 2016

ER -

Creating Explanatory Visualizations of Algorithms for Active Learning

Abstract

Conference

Keywords

Access to Document

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