Software Engineering Skillset Assessment Dataset for Computer Science Students

The Software Engineering Skillset Dataset comprises Soft Skills, Life Skills, and Technical Skills, which are key components for evaluating and predicting the software engineering competencies of computer science students. The surveys, conducted using a meticulously crafted questionnaire, served as the primary data collection method, targeting computer science students in software engineering courses across higher educational institutions in Kerala, India. This extensive survey engaged over two thousand students, evaluating each skill category through a dedicated assessment quiz comprising a total of fifteen questions. The survey was designed to assess Soft Skills, Life Skills, and Technical Skills through a series of questions, each employed a six-point scale for responses as follows:
0: "Never"
1: "Rarely"
2: "Sometimes"
3: "Often"
4: "Mostly"
5: "Always"
The dataset, designed as a classification problem, features two distinct classes (0 and 1). Participants scoring above 60% in each skill area are classified as proficient. The survey comprises three segments and 54 questions for a detailed evaluation of the skills:
1. Soft Skills: Assessed through five tests covering 18 attributes.
2. Life Skills: Evaluated through five tests focusing on nine attributes, emphasizing workplace practices and developmental strategies.
3. Technical Skills: Measured via five tests with nine specific features.
This dataset not only enables a comprehensive analysis of individual and combined skills but also provides valuable insights for students, highlighting their academic strengths and areas needing improvement.

软件工程技能数据集（Software Engineering Skillset Dataset）包含软技能（Soft Skills）、生活技能（Life Skills）与技术技能（Technical Skills）三大核心模块，是评估与预测计算机科学专业学生软件工程胜任力的关键指标。本次研究采用精心设计的问卷作为主要数据收集手段，调研对象为印度喀拉拉邦各高等院校软件工程课程的计算机科学专业学生。此次大规模调研共招募超两千名学生参与，针对每一类技能设置专属评估测验，总计包含15道题目。本次调研通过一系列题目对软技能、生活技能与技术技能进行评估，所有题目均采用六级评分量表进行作答，具体分级如下：0：“从未”；1：“极少”；2：“偶尔”；3：“经常”；4：“大多”；5：“总是”。本数据集被构建为分类任务，包含两个类别（0与1）：在任一技能领域得分超过60%的参与者将被归类为技能熟练者。本次调研包含三个模块与54道题目，用于对各项技能开展详细评估：1. 软技能：通过5项测试进行评估，涵盖18项能力维度；2. 生活技能：通过5项测试开展评估，聚焦9项能力维度，侧重职场实践与发展策略；3. 技术技能：通过5项测试进行衡量，包含9项具体能力特征。本数据集不仅可实现单项技能与综合技能的全面分析，还能为学生提供极具价值的参考依据，帮助其明晰自身学术优势与待提升领域。