Recent Studies About Teaching Algorithms (CS1) and Data Structures (CS2) for Computer Science Students
Recent Studies About Teaching Algorithms (CS1) and Data Structures (CS2) for Computer Science Students
复制标题
关于计算机科学学生算法(CS1)和数据结构(CS2)教学的最新研究
DOI:
10.1109/fie43999.2019.9028702
复制
发表时间:
2019
期刊:
影响因子:
--
通讯作者:
C. Silla
中科院分区:
文献类型:
--
作者:
D. Silva;R. L. Aguiar;Diogo Steinke Dvconlo;C. Silla
This Research Full Paper presents a review of recent studies on SIGCSE about teaching programming (CS1) and data structures (CS2) for university students in computer science courses. Our main contribution is the identification of three categories and their respective subcategories for teaching programming: (i) characterization of contents, (ii) identification of pedagogical strategies and (iii) grouping of support tools. Context: Technology is increasingly more present in modern life. This demands qualified professionals in algorithmic thinking and coding. However, teaching programming is a challenging task, with frequently high dropout and failure rates. Because of this there is a large amount of scientific literature about methods and tools for teaching this topic. A systematic review to compile existing techniques can be very useful for teacher and professionals interested in the area. Objective: The goal of this paper is to identify and discuss the recent approaches used in teaching algorithms and data structures presented in the last five years of SIGCSE. Thus, we investigated the following research question: What are the recent approaches to teaching programming and data structures? Method: We conducted a review of the primary researches published in SIGCSE Technical Symposium during 2014-2018. All primary studies published in this period were evaluated according to the inclusion criteria. The studies related to our objective were completely read, passed through the extraction of data and classified according to the research questions. Results: In the end of the selection phase, 60 papers were used to conduct this research. Our results were classified into three categories: (i) contents were identified in 60 papers. We found that CS1 is predominant, it is present in 76.7% of papers. Whereas the teaching of CS2 is present in only 38.3% of the papers; (ii) teaching strategies were identified in 32 papers. Active learning approaches are usually the target of these studies. It should be noted that pair programming was present in 18.3% of these papers; finally (iii) 28 papers were found about support tools and most of them are focused on visualization and animation. Conclusion: Effective pedagogical approaches for teaching CS1 and CS2 are of great concern for educators around the globe. There is also a need for more tools that support the teaching of these disciplines.
DOI:
10.1145/2839509.2844635
发表时间:
2016
期刊:
ACM SIGCSE 2016
影响因子:
--
作者:
Burlinson, David;Mehedint, Mihai;Grafer, Chris;Subramanian, Kalpathi;Payton, Jamie;Goolkasian, Paula;Youngblood, Michael;Kosara, Robert
通讯作者:
Kosara, Robert
DOI:
10.1145/3017680.3017793
发表时间:
2017
期刊:
ACM SIGCSE 2017 Conference
影响因子:
--
作者:
Deb, Debzani;Fuad, Mohammad Muztaba;Kanan, Mallek
通讯作者:
Kanan, Mallek
DOI:
10.1145/3159450.3159460
发表时间:
2018
期刊:
SIGCSE '18 Proceedings of the 49th ACM Technical Symposium on Computer Science Education
影响因子:
--
作者:
Mcquaigue, Matthew;Burlinson, David;Subramanian, Kalpathi;Saule, Erik;Payton, Jamie
通讯作者:
Payton, Jamie