Rößling, Guido (2010):
A Family of Tools for Supporting the Learning of Programming.
In: Algorithms, 3 (2), pp. 168-182. DOI: 10.3390/a3020168,
[Article]
Abstract
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.
Item Type: | Article |
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Erschienen: | 2010 |
Creators: | Rößling, Guido |
Title: | A Family of Tools for Supporting the Learning of Programming |
Language: | ["languages_typename_1" not defined] |
Abstract: | 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. |
Journal or Publication Title: | Algorithms |
Volume of the journal: | 3 |
Issue Number: | 2 |
Uncontrolled Keywords: | - ALW - Area Ambient Learning & Knowledge Work;- ALW: Algorithm Animation;algorithm animation; Animal; programming support; WebTasks |
Divisions: | 20 Department of Computer Science > Computing Services (ISP) 20 Department of Computer Science > Telecooperation 20 Department of Computer Science |
Date Deposited: | 31 Dec 2016 12:59 |
DOI: | 10.3390/a3020168 |
Identification Number: | TUD-CS-2010-0082 |
PPN: | |
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Suche nach Titel in: | TUfind oder in Google |
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