Perspectives on Program Animation with Jeliot

Ben‐Ari, Mordechai; Myller, Niko; Sutinen, Erkki; Tarhio, Jorma

doi:10.1007/3-540-45875-1_3

Cited by 37 publications

(25 citation statements)

References 12 publications

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“…This may be seen as a disadvantage of Observer architecture for program visualization: the model needed for program visualization is a language interpreter, constructing which can be a daunting undertaking. The best known model-driven program visualization system is Jeliot 3 for Java [2]. It uses a modified version of the source code interpreter DynamicJava (www.koala.ilog.fr/djava) as its model.…”

Section: Discussionmentioning

confidence: 99%

Observer Architecture of Program Visualization

Kumar

Kasabov

2007

Electronic Notes in Theoretical Computer Science

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We propose Observer architecture for program visualization. The principles of Observer architecture are modular, model-driven visualization with one-directional coupling, hierarchical delegation, message-passing and archival by visualizers. The architecture is scalable. The resulting visualization can be distributed and modified independent of the model. The Observer architecture has been implemented in online tutors for programming called problets.

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Section: Discussionmentioning

confidence: 99%

Observer Architecture of Program Visualization

Kumar

Kasabov

2007

Electronic Notes in Theoretical Computer Science

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“…During the development and evaluation cycle of Jeliot, it has been learned that there is no one best formula for all learning needs, but there should be several items in the learning environment from which the learner can select the ones she needs [2]. This means that we should give students the possibility to use different kinds of visualizations with various orientations leading to a stage where an extendable and modular system is needed as a basis for this development.…”

Section: History Of Jeliotmentioning

confidence: 99%

Visualizing programs with Jeliot 3

Moreno

Myller

Sutinen

et al. 2004

Proceedings of the Working Conference on Advanced Visual Interfaces

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188

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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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“…Because of the difficulty of this optimization problem, one must be satisfied with approximate solutions in practice. The following test sets of pairs (a, b) satisfy the coverage conditions presented above: (3,6), (4,5), (4, 6)} Path coverage:…”

Section: Path Testingmentioning

confidence: 99%

“…It could be incorporated, for example as a tutoring agent, into existing visualization tools. For example Jeliot [3,6] could be expanded to allow interruptions where a user could assign new values into variables. This way she could study what happens at a loop's end or similar steps of execution.…”

Section: Future Perspectivesmentioning

confidence: 99%

Understanding Algorithms by Means of Visualized Path Testing

Korhonen¹,

Sutinen

Tarhio³

2002

Software Visualization

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Abstract.Visualization of an algorithm offers only a rough picture of operations. Explanations are crucial for deeper understanding, because they help the viewer to associate the visualization with the factual meaning of each detail. We present a framework based on path testing for associating instructive explanations and assignments with a constructive self-study visualization of an algorithm. The algorithm is divided into blocks, and a description is given for each block. The system contains a separate window for code, flowchart, animation, explanations, and control. Assignments are based on the flowchart and on the coverage conditions of path testing. Path testing is expected to lead into more accurate evaluation of learning outcomes because it supports systematic instruction in addition to more free trial-and-error heuristics. A qualitative analysis of preliminary experiences with the prototype indicates that the approach helps a student to reflect on her own reasoning about the algorithm. However, a prerequisite for an successful learning process with the environment is a motivating introduction, describing both the system and the main idea of the algorithm to be learned.

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Perspectives on Program Animation with Jeliot

Cited by 37 publications

References 12 publications

Observer Architecture of Program Visualization

Observer Architecture of Program Visualization

Visualizing programs with Jeliot 3

Understanding Algorithms by Means of Visualized Path Testing

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