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Inquiry-based learning case studies for Computing and Computing Forensic students

机译：针对计算机和计算机法证专业学生的基于询问的学习案例研究

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Purpose - The purpose of this paper is to describe and discuss the use of specifically-developed, inquiry-based learning materials for Computing and Forensic Computing students. Small applications have been developed which require investigation in order to de-bug code, analyse data issues and discover "illegal" behaviour. The applications are based around industry case studies and are functioning systems. They have been designed with a view to supporting the teaching, learning and assessment within the database curriculum at Leeds Metropolitan University. The students are required to use investigative methods to discover and address the issues. Additionally, the exercises are intended to give experience of industrial work such as evaluation, testing and de-bugging of software. Design/methodology/approach - The applications were designed and developed by final year Computing students as part of their final year project. They were required to identify appropriate methodologies and techniques. The team "adopted", developed and further evaluated the applications with a view to using them in teaching. Findings - The initial feedback is that students like the exercises; they initially may not realize there is anything "wrong" with the applications and enjoy discovery of issues. The exercises have raised their awareness of data quality, data integrity and improved their confidence to question results from reports and queries, Originality/value - The intention is to build a "bank" of learning objects which mimic real computing and computing-forensic tasks.
机译：目的-本文的目的是描述和讨论针对计算机和取证计算机学生专门开发的基于查询的学习材料的使用。已经开发了小型应用程序，需要进行调查才能调试代码，分析数据问题并发现“非法”行为。这些应用程序基于行业案例研究，并且是功能正常的系统。设计它们的目的是在利兹城市大学的数据库课程中支持教学，学习和评估。要求学生使用调查方法发现和解决问题。此外，这些练习旨在提供工业工作经验，例如评估，测试和调试软件。设计/方法/方法-这些应用程序是由最后一年的计算机专业学生设计和开发的，这是他们最后一年项目的一部分。他们被要求确定适当的方法和技术。团队“采用”，开发并进一步评估了应用程序，以期在教学中使用它们。调查结果-最初的反馈是学生喜欢练习。他们最初可能不会意识到应用程序有什么“错误”，并喜欢发现问题。这些练习提高了他们对数据质量，数据完整性的认识，并提高了他们对报告和查询结果的质疑的信心，即原创性/价值-目的是建立一个模仿实际计算和计算取证任务的学习对象库。

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