Title :
An Approach to Support Algorithms Learning Using Virtual Worlds
Author :
Salgado, Nilmara ; Castro, Thaís
Author_Institution :
Inst. de Comput., UFAM, Manaus, Brazil
Abstract :
The basic algorithmic structures are fundamental to systems development and understanding them is an essential step towards the learning process. In order to become a good developer the student needs to refine his learning outcomes to foresee beyond syntax and semantics of a programming language. However, we found that many students face difficulties in that learning process. Thus, it is important to adopt strategies that best fits this situation in order to provide the necessary conditions to achieve success. For that purpose a tool provided with resources for the teachers to plan group problem solving exercises would help students keeping themselves engaged on the programming activities. In this regard we are developing scenarios using virtual worlds. Such environments have been used on many educational contexts, and we believe that if we include Polya´s problem solving method as a means for start solving the collaborative tasks described within the scenarios students will propose strategies for solving the tasks, formalize them later on as algorithms. Those activities will promote integration between teacher and students at the same time as students practice their algorithm building skills.
Keywords :
computer aided instruction; computer science education; virtual reality; Polya problem solving method; algorithm building skills; algorithms learning; basic algorithmic structures; collaborative tasks; educational contexts; group problem solving exercises; learning process; programming language; virtual worlds; Abstracts; Collaboration; Computer languages; Problem-solving; Second Life; Semantics; Syntactics; Collaborative Scenarios; Programming Language; Virtual Worlds;
Conference_Titel :
Collaborative Systems (SBSC), 2012 Brazilian Symposium on
Conference_Location :
Sao Paulo
Print_ISBN :
978-1-4673-4696-2
DOI :
10.1109/SBSC.2012.31