Leveraging Free and Open Source Software to Model Teaching and Learning in Computer Science Education

Author(s):  
Sulayman K. Sowe
2009 ◽  
Vol 41 (1) ◽  
pp. 134-135 ◽  
Author(s):  
Gregory W. Hislop ◽  
Heidi J.C. Ellis ◽  
Allen B. Tucker ◽  
Scott Dexter

Author(s):  
Antonio Pérez-Carrasco ◽  
J. Ángel Velázquez-Iturbide

One concept that has proved to be especially difficult to comprehend in computer science education is recursion. This chapter provides an overview of past efforts on the teaching of recursion. The authors first introduce concepts and models about the teaching and learning of recursion. In particular, they identify models used by teachers to explain recursion (i.e. conceptual models) and models used by students in their learning process (i.e. mental models). Afterwards, they review the teaching methods used in the past. Finally, the authors survey visualization and animation systems for recursion, explaining how they support conceptual models and how they try to remove wrong mental models. They also include a comprehensive technical comparison of the systems and review the evaluations these systems have been subject to.


Author(s):  
Anabela de Jesus Gomes ◽  
António José Mendes ◽  
Maria José Marcelino

This chapter aims to present and summarize a variety of research areas that directly or indirectly have influenced Computer Science Education Research, particularly associated to the teaching and learning of programming. It is known that many students encounter a lot of difficulties in introductory programming courses. Possible reasons for these difficulties are discussed and some existing proposals in the literature are presented. Based on this discussion, the chapter also includes a description of work done at the University of Coimbra, trying to define more adequate pedagogical strategies for introductory programming courses. The results obtained and their implementation in a common undergraduate course are presented and discussed. The authors conclude that this new strategy makes learning more stimulating for the students, minimizes dropout intentions, and makes the students learn more and better. The chapter ends with suggestions of future research opportunities within the topic of teaching and learning of programming.


Author(s):  
J. Ángel Velázquez-Iturbide ◽  
Ouafae Debdi ◽  
Maximiliano Paredes-Velasco

Algorithmics is an important core subject matter in computer science education. In particular, optimization algorithms are some of the most difficult to master because their problem statement includes an additional property, namely optimality. The chapter contains a comprehensive survey of the teaching and learning through practice of optimization algorithms. In particular, three important issues are reviewed. Firstly, the authors review educational methods which partially or completely address optimization algorithms. Secondly, educational software systems are reviewed and classified according to technical and educational criteria. Thirdly, students' difficulties and misunderstandings regarding optimization algorithms are presented. The chapter intends to consolidate current knowledge about the education of this class of algorithms for both computer science teachers and computer science education researchers.


Author(s):  
Yin Zhang

Real-life software development requires practical developers. This chapter discusses the challenges put by real-life software development on computer science education of modern universities, and how to face these challenges by changing traditional teaching and learning to a PBL-based approach. Based on a literature review on PBL theories, methods and tools, and observations made in classrooms and group rooms at Aalborg University, this chapter discusses possible aspects to consider when changing traditional computer science classrooms. A case is then used to demonstrate the process of changing traditional teaching and learning of a computer science course named Visual Programming and Applications to a PBL-based approach.


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