A Meta-Study of Algorithm Visualization Effectiveness

Hundhausen, Christopher D.; Douglas, Sarah A.; Stasko, John

doi:10.1006/jvlc.2002.0237

Cited by 544 publications

(389 citation statements)

References 38 publications

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“…Therefore, these tools allow the students to find the dynamics of hard to understand but extremely important processes. In this way, the student is stimulated to progress in his activity (Hundhausen et al, 2002).…”

Section: Animationmentioning

confidence: 99%

Computer-supported Techniques to Increase Students Engagement in Programming

Tavares¹,

Henriques

Gomes³

2016

Proceedings of the 8th International Conference on Computer Supported Education

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Abstract:One of the main reasons that justify the student's failure in (introductory) programming courses is the lack of motivation that impacts on the knowledge acquisition process, affecting learning results. As soon as students face the difficulties concerning the development of algorithms or the coding in a programming language, they give up and do not try harder to solve other problems; they think it is a demanding activity and feel frustrated.In this paper we describe in detail an experiment conducted to verify the effectiveness, in terms of the increase in motivation and in knowledge acquisition, of combining program Animation tools with the immediate feedback provided by Automatic Evaluations Systems.

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Section: Animationmentioning

confidence: 99%

Computer-supported Techniques to Increase Students Engagement in Programming

Tavares¹,

Henriques

Gomes³

2016

Proceedings of the 8th International Conference on Computer Supported Education

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“…The construction of visualization systems has gone hand in hand with theoretical research into their impact on learning and how best to improve their effectiveness (see, i.e., (Hundhausen, Douglas, & Stasko, 2002;Naps et al, 2002;Naps et al, 2003). When designed and used under the right conditions, visualization technologies for algorithm teaching have proved to be a very positive learning aid.…”

Section: Introductionmentioning

confidence: 99%

An approach to automatic learning assessment based on the computational theory of perceptions

Sánchez-Torrubia

Torres-Blanc

Triviño

2012

Expert Systems with Applications

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E-learning systems output a huge quantity of data on a learning process. However, it takes a lot of specialist human resources to manually process these data and generate an assessment report. Additionally, for formative assessment, the report should state the attainment level of the learning goals defined by the instructor.This paper describes the use of the granular linguistic model of a phenomenon (GLMP) to model the assessment of the learning process and implement the automated generation of an assessment report. GLMP is based on fuzzy logic and the computational theory of perceptions. This technique is useful for implementing complex assessment criteria using inference systems based on linguistic rules. Apart from the grade, the model also generates a detailed natural language progress report on the achieved proficiency level, based exclusively on the objective data gathered from correct and incorrect responses. This is illustrated by applying the model to the assessment of Dijkstra's algorithm learning using a visual simulation-based graph algorithm learning environment, called GRAPHS.

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“…Some of these are described in a survey paper focusing on program visualization and algorithm animation systems [4]. For classify these tools on the basis of their learning outcomes, survey is used to find that the interaction between students and a visualization system is more essential than the visualization contents [5].…”

Section: Introductionmentioning

confidence: 99%

A New Visual Cryptography Approach using Mosaic and Spread Spectrum Watermarking

Rathore¹,

Jain²

2017

IJCA

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Visual cryptography is a furtive distribution scheme where a screte image is encrypted into the shares which independently make known no information concerning the secret original image. The attractiveness of the visual surreptitious distribution method is its decryption progression i.e. to decrypt the surreptitious image using human visual scheme be deficient to any calculation or no need of any computational devices. By using this special characteristic property anyone doesn't need any type of computational devices to recognize the secret image during the decryption process, VC is suited to be used in the environment which has no computational device. There are many researchers who have faithful themselves to study the related issues of Visual Cryptography because of its special property. The existing methodology implemented for the Representation of Visual Cryptography Algorithms is on the basis of efficient encryption of Images as compared to other encryption procedures such as AES, DES etc.Here an efficient technique is implemented by using the combinatorial method of mosiacing the image and then applying spread spectrum for the water marking of secrete information thrashing and applying an effective cryptography algorithm.

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A Meta-Study of Algorithm Visualization Effectiveness

Cited by 544 publications

References 38 publications

Computer-supported Techniques to Increase Students Engagement in Programming

Computer-supported Techniques to Increase Students Engagement in Programming

An approach to automatic learning assessment based on the computational theory of perceptions

A New Visual Cryptography Approach using Mosaic and Spread Spectrum Watermarking

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