Cooperative Thinking: Analyzing a new framework for software engineering education

被引:10
作者
Ciancarini, Paolo [1 ,2 ]
Missiroli, Marcello [2 ]
Russo, Daniel [3 ,4 ]
机构
[1] Innopolis Univ, Innopolis, Russia
[2] Univ Bologna, Bologna, Italy
[3] Lero, Cork, Ireland
[4] Univ Coll Cork, Sch Comp Sci & Informat Technol, Cork, Ireland
基金
爱尔兰科学基金会;
关键词
Partial Least Squares; Structural Equation Modelling; Multivariate Analysis; Latent Variable Analysis; Empirical Software Engineering; Computer Science Education; K-12; High School; Software Engineering Education; Computational Thinking; Agile; Cooperative Thinking; COMPUTATIONAL THINKING; PLS; VARIABLES; WORK; RELIABILITY; SELECTION; INTERNET; VALIDITY; NETWORK; SUCCESS;
D O I
10.1016/j.jss.2019.110401
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Computational Thinking (CT) and Agile Values (AV) focus respectively on the individual capability to think algorithmically, and on the principles of collaborative software development. Although these two dimensions of software engineering education complement each other, very few studies explored their interaction. In this paper we use an exploratory Structural Equation Modeling technique to introduce and analyze Cooperative Thinking (CooT), a model of team-based computational problem solving. We ground our model on the existing literature and validate it through Partial Least Square modeling. Cooperative Thinking is new competence which aim is to support cooperative problem solving of technical contents suitable to deal with complex software engineering problems. This article suggests to tackle the CooT construct as an education goal, to train students of software development to improve both their individual and teaming performances. (C) 2019 Elsevier Inc. All rights reserved.
引用
收藏
页数:12
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