A Survey of Successful Evaluations of Program Visualization and Algorithm Animation Systems

Urquiza-Fuentes, Jaime; Velázquez‐Iturbide, J. Ángel

doi:10.1145/1538234.1538236

Cited by 108 publications

(62 citation statements)

References 54 publications

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“…A list of the tool's features include: "textual contents, appropriate feedback, extra time to use AV for non-animated tasks, input and control menus for the animation, display of algorithm behaviors, variable state changes, ease of use, user control, canned examples and data input, and pseudocode display", all of which were mentioned in previous studies as characteristics of a good AV (Saraiya, 2002;Urquiza-Fuentes & Velázquez-Iturbide, 2009). …”

Section: Algorithm Learning Toolmentioning

confidence: 99%

Usability and Pedagogical Assessment of an Algorithm Learning Tool: A Case Study for an Introductory Programming Course for High School

Avancena¹,

Nishihara

2015

InSITE Conference

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[The final form of this paper was published in the journal Issues in Informing Science and Information Technology.] An algorithm learning tool was developed for an introductory computer science class in a specialized science and technology high school in Japan. The tool presents lessons and simple visualizations that aim to facilitate teaching and learning of fundamental algorithms. Written tests and an evaluation questionnaire were designed and implemented along with the learning tool among the participants. The tool’s effect on the learning performance of the students was examined. The differences of the two types of visualizations offered by the tool, one more input and control options and the other with fewer options were analyzed. Based on the evaluation questionnaire, the scales with which the tool can be assessed according to its usability and pedagogical effectiveness were identified. After using the algorithm learning tool, there was an increase in the posttest scores of the students and those who used the visualization with more input options has higher scores compared to those who used the one with limited input options. The learning objectives used to evaluate the tool correlated with the test performance of the students. Properties comprised of learning objectives, algorithm visualization characteristics and interface assessment are proposed to be incorporated in evaluating an algorithm learning tool for novice learners.

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Section: Algorithm Learning Toolmentioning

confidence: 99%

Usability and Pedagogical Assessment of an Algorithm Learning Tool: A Case Study for an Introductory Programming Course for High School

Avancena¹,

Nishihara

2015

InSITE Conference

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“…A seminal report by a set of experts in the field [27] has defined a taxonomy of "levels of engagement", which has been referenced in more than 100 publications and has caused some follow-up research with similar results including [18,28]. The report was further supported by a survey of successful evaluations [29].…”

Section: Visualizing and Animating Algorithms And Data Structuresmentioning

confidence: 99%

A Family of Tools for Supporting the Learning of Programming

Rößling

2010

Algorithms

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Both learning how to program and understanding algorithms or data structures are often difficult. This paper presents three complementary approaches that we employ to help our students in learning to program, especially during the first term of their study. We use a web-based programming task database as an easy and risk-free environment for taking the first steps in programming Java. The Animal algorithm visualization system is used to visualize the dynamic behavior of algorithms and data structures. We complement both approaches with tutorial videos on using the Eclipse IDE. We also report on the experiences with this combined approach.

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“…However, in most cases, such tools are not applicable to be used in real learning environment since they do not fit student necessity [7]. We would argue that one of the main reasons for such unfitness is the lack of empirical evaluation on real learning environment.…”

Section: Introductionmentioning

confidence: 99%

A Quasi-Experimental Design to Evaluate the Use of PythonTutor on Programming Laboratory Session

Karnalim

Ayub

2018

Int. J. Onl. Eng.

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Abstract-Educational tool is one of the prominent solutions for aiding students to learn course material in Information Technology (IT) domain. However, most of them are not used in practice since they do not properly fit student necessity. This paper evaluates the impact of an educational tool, namely PythonTutor, for completing programming laboratory task regarding data structure materials. Such evaluation will be conducted in one semester by implementing a quasi-experimental design. As a result, six findings can be deducted which are: 1) PythonTutor might positively affect student performance when the students have used such tool before; 2) Sometimes, student perspective regarding the impact of educational tool is not always in-sync with actual laboratory result; 3) the impact of PythonTutor might be improved when similar data representation is used consequently for several weeks; 4) the correlation between the use of PythonTutor and student performance might not be significant when the control and intervened group share completely different characteristics; 5) the students might experience some difficulties when they are asked to handle a big task for the first time; and 6) the students might be able to complete a particular weekly task with a promising result if the students have understood the material well.

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A Survey of Successful Evaluations of Program Visualization and Algorithm Animation Systems

Cited by 108 publications

References 54 publications

Usability and Pedagogical Assessment of an Algorithm Learning Tool: A Case Study for an Introductory Programming Course for High School

Usability and Pedagogical Assessment of an Algorithm Learning Tool: A Case Study for an Introductory Programming Course for High School

A Family of Tools for Supporting the Learning of Programming

A Quasi-Experimental Design to Evaluate the Use of PythonTutor on Programming Laboratory Session

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