A visualisation tool as a demonstration aid

Lattu, Matti; Meisalo, Veijo; Tarhio, Jorma

doi:10.1016/s0360-1315(03)00032-0

Cited by 13 publications

(11 citation statements)

References 14 publications

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“…Furthermore, various studies, Refs. 19–23 for example, consider the incorporation of pseudo‐code with highlighting to be important for algorithm comprehension. Pseudo‐code offers a more compact way of structuring an algorithm without focusing in the precise syntax of each programming language.…”

Section: A Short Description Of the Visual Linprog Softwarementioning

confidence: 99%

An empirical study on factors influencing the effectiveness of algorithm visualization

Lazaridis

Samaras

Sifaleras

2010

Comp Applic In Engineering

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ABSTRACT:The determination of the factors influencing the effectiveness of algorithm visualization poses an interesting research question. In this paper, we present the results of a longitude empirical study regarding this question. The study was based on an evaluation of the Visual LinProg educational tool inside classrooms. Visual LinProg is a web-based educational tool, which solves linear programming problems using animation and visualization techniques. Visual LinProg was developed to be used in linear programming courses to supplement the teaching. Our empirical study is based on questionnaires that include quantitative and qualitative topics. This evaluation first indicates that Visual LinProg facilitates the learning of the revised simplex algorithm and second presents more results on factors influencing the understanding of this algorithm by the students/users of the Visual LinProg.

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Section: A Short Description Of the Visual Linprog Softwarementioning

confidence: 99%

An empirical study on factors influencing the effectiveness of algorithm visualization

Lazaridis

Samaras

Sifaleras

2010

Comp Applic In Engineering

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“…These factors made the usage of the systems more challenging for novices. In an empirical evaluation, novices found Jeliot I too complex to use [7]. …”

Section: Evolution Of the User Interfacementioning

confidence: 99%

“…However the information provided by Eliot and Jeliot I animations was not descriptive enough for students. Lattu et al [7] found that the visualization of the data flow was insufficient for the novice students, who also require visualization of the control flow and object structures. Moreover, novices require that even expression evaluation is fully visualized.…”

Section: Evolution Of the Visualizationmentioning

confidence: 99%

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Visualizing programs with Jeliot 3

Moreno

Myller

Sutinen

et al. 2004

Proceedings of the Working Conference on Advanced Visual Interfaces

186

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We present a program visualization tool called Jeliot 3 that is designed to aid novice students to learn procedural and object oriented programming. The key feature of Jeliot is the fully or semi-automatic visualization of the data and control flows. The development process of Jeliot has been research-oriented, meaning that all the different versions have had their own research agenda rising from the design of the previous version and their empirical evaluations. In this process, the user interface and visualization has evolved to better suit the targeted audience, which in the case of Jeliot 3, is novice programmers. In this paper we explain the model for the system and introduce the features of the user interface and visualization engine. Moreover, we have developed an intermediate language that is used to decouple the interpretation of the program from its visualization. This has led to a modular design that permits both internal and external extensibility.

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“…Prensky [3] used feedback, continuous and increasing challenge in gaming activities to enhance understanding. Lattua et al [4] employed visualization to facilitate learning of abstract computer science concepts.…”

Section: Introductionmentioning

confidence: 99%

Live Programming Learning Objects on Cloud

Qian

Bhattacharya

et al. 2011

2011 IEEE 11th International Conference on Advanced Learning Technologies

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This paper proposes to build reusable live programming learning objects for improving introductory computer programming learning. The learning objects employ an innovative learning model, called Interactive Learning Model, to provide visualized and interactive programming learning in a perception and practice integrated, cloud-based, learning platform. A prototype learning environment has been implemented and deployed in Google Cloud to test and evaluate the learning outcomes of proposed learning objects and learning model.

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A visualisation tool as a demonstration aid

Cited by 13 publications

References 14 publications

An empirical study on factors influencing the effectiveness of algorithm visualization

An empirical study on factors influencing the effectiveness of algorithm visualization

Visualizing programs with Jeliot 3

Live Programming Learning Objects on Cloud

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