Creating Engaging Online Learning Material with the JSAV JavaScript Algorithm Visualization Library

Data Structures and Algorithms are a central part of Computer Science. Due to their abstract and dynamic nature, they are a difficult topic to learn for many students. To alleviate these learning difficulties, instructors have turned to algorithm visualizations (AV) and AV systems. Research has show...

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Vydáno v:IEEE transactions on learning technologies Ročník 9; číslo 2; s. 171 - 183
Hlavní autoři: Karavirta, Ville, Shaffer, Clifford A.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.04.2016
Institute of Electrical and Electronics Engineers, Inc
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:1939-1382, 2372-0050
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Shrnutí:Data Structures and Algorithms are a central part of Computer Science. Due to their abstract and dynamic nature, they are a difficult topic to learn for many students. To alleviate these learning difficulties, instructors have turned to algorithm visualizations (AV) and AV systems. Research has shown that especially engaging AVs can have an impact on student learning of DSA topics. Until recently, most AV systems were Java-based systems. But, the popularity of Java has declined and is being supplanted by HTML5 and JavaScript content online. In this paper, we present JSAV: the JavaScript AV development library. JSAV goes beyond traditional AV library support for displaying standard data structures components, to provide functionality to simplify creation of AVs on many engagement levels including interactive exercises. We describe the growing body of content created with JSAV and summarize our three years of experience and research results from using JSAV to build content that supports CS education.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1939-1382
2372-0050
DOI:10.1109/TLT.2015.2490673