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Analyzing the Strength of Undergraduate Misconceptions About Software Engineering

机译:分析大学生对软件工程的误解的强度

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While many computer science students plan to pursue careers as software engineers, research shows that most traditional undergraduate CS programs fail to prepare students for the realities of programming in industry. Many misconceptions that are interfering with the transition to industry are belief-oriented, not skill-oriented, in nature, so traditional misconception assessments will not yield a deep understanding of them.In this paper we present a novel methodology that shows interactions among the misconceptions based on a forced choice paradigm and reveals the relative strength of the misconceptions. By analyzing students' repeated responses and response times, we construct a model of participants' misconceptions. We used this methodology to assess CS undergraduates at Carnegie Mellon University and compared their results to those from industry practitioners at several highly regarded companies. The results show that the students have misconceptions about process and teamwork. Surprisingly, we found that several misconceptions are correlated with elective courses that we expected to weaken misconceptions about software engineering but instead appeared to strengthen them.
机译:尽管许多计算机科学专业的学生计划从事软件工程师的职业,但研究表明,大多数传统的本科CS程序都无法使学生为工业编程的现实做好准备。本质上,许多干扰向行业过渡的误解都是信仰导向的,而不是技能导向的,因此传统的误解评估不会对它们产生深刻的理解。本文提出了一种新颖的方法,可以说明误解之间的相互作用基于强迫选择的范式,并揭示了误解的相对强度。通过分析学生的重复回答和响应时间,我们构建了参与者误解的模型。我们使用这种方法评估了卡耐基梅隆大学的CS本科生,并将其结果与多家知名公司的行业从业人员的结果进行了比较。结果表明,学生对过程和团队合作有误解。令人惊讶的是,我们发现一些误解与选修课程有关,我们希望这些选修课能够减弱对软件工程的误解,而反而似乎会增强它们。

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