From animation to analysis in introductory computer science (original) (raw)
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Experiences in using animations in introductory computer science lectures
Algorithm animation has received much interest over the last few years. In this paper, we discuss the experiences gained in integrating animations into introductory computer science courses with large audiences of more than 200 students. After providing a short introduction to the animation tool we developed, we describe why and how we used animations in our lectures and present some example animations. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee.
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Algorithm animation would seem to be a useful tool for teaching algorithms. However, previous empirical studies of using algorithm animation have produced mixed results. This paper presents an empirical study in which the subjects programmed the algorithm which they had seen animated. The results of the experiment indicate that combining the animation with the implementation of the algorithm was an effective way to teach the animation, and also produced transfer effects for general recursion problems.
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Algorithm animation can be an efective tool for understanding the behavior of programs. However, most approaches towards algorithm animation have focused on evermore sophisticated graphical depictions of programs, and not on the process of how students can develop and make use of animations in an educational setting. In this paper we describe the AlgorithmExplorer, a flexible algorithm animation system targeted towards classroom, laboratory and individual student use. The AlgorithmExplorer provides an open system architecture for integrating student programs, mechanisms for supporting user input, and a three tiered animation command interface that provides rich animation constructs while also supporting a wide range of student programming abilities.
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The design and analysis of algorithms is one of the core fields of computer science, and their study is an intellectually demanding task. Animations are promising educational aids for the study of algorithms, but the main obstacle for an extensive educational use is the technical difficulty of producing them. This fact dissuades many teachers and most students from building animations. In the paper, we report the facilities for algorithm animation we have integrated in a functional programming environment. One of our main concerns was to simplify the generation of animations to the extent of being as simple as handling an office application. In addition, the integration of animation generation with the programming environment produces synergy benefits. From the point of view of user interaction, our programming environment allows producing automatically, graphical, customizable visualizations of different instants of the algorithm execution. In a second step, an animation is built by arranging sequentially such visualizations, as a cartoon.
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We conducted two experiments designed to examine whether animations of algorithms would help students learn the algorithms more eectively. Across the two studies we used two dierent algorithms Ð depth-®rst search and binomial heaps Ð and used two dierent subject populations Ð students with little or no computer science background and students who were computer science majors Ð and examined whether animations helped students acquire procedural and conceptual knowledge about the algorithms. The results suggest that one way animations may aid learning of procedural knowledge is by encouraging learners to predict the algorithm's behavior. However, such a learning improvement was also found when learners made predictions of an algorithm's behavior from static diagrams. This suggests that prediction, rather than animation per se, may have been the key factor in aiding learning in the present studies. These initial experiments served to highlight a number of methodological issues that need to be systematically addressed in future experiments in order to fully test the relationship between animation and prediction as well as to examine other possible bene®ts of animations on learning.
Integrating animations into courses
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Abstract This paper describes two ways we have integrated algorithm animations into several computer science courses. First, we use previously existing animations during lectures to aid in explaining algorithms, and second, our students write programs with animations. Different types of animations are written depending on the level of the student.
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Data Structure is an important and mandatory course in Computer Science and Information Technology curricula. The topics of the course require detailed view of the algorithm behavior with the implementation part by a programming language. This paper introduces a visualized learning environment and assesses the effectiveness of using this system in order to enhance the education in computer science and information technology concerning data structure course. Whether the use of the system will produce remarkable enough affects to encourage the developers to enhance such systems. The system uses embedded visualizer rather than external visualizer to produce the animation. The significant result of the experiment indicates that combining Algorithm and Program Animation is an effective way to enhance students' performance.