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EvalSeer: An Intelligent Gamified System for Programming Assignments Assessment

机译:评估者:用于编程分配评估的智能赌博系统

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摘要

Continuous evaluation of computer programs and providing informative assessments are crucial for computer programming students. However, swift and formative feedback can be challenging to achieve as it is usually a stressful and tedious task for professors merely through manual grading. There is an urgent need for a Learning management system (LMS) that offers instant and detailed feedback in a competitive environment for a better education experience. In this study, we introduce the EvalSeer learning management system. EvalSeer is an LMS equipped with an intelligent auto-grading engine to keep learners motivated and help them move forward. The code evaluation process covers various criteria that strengthen coding abilities and provides learners with the directions they need to improve. These criteria include coding style, code features, dynamic test cases, and successful compilation. EvalSeer uses Long short-term memory (LSTM) networks for code analysis to detect syntax errors and predict potential fixes. Also, the system shall explain suggested fixes backed up with related references. EvalSeer is an easy-to-use cloud-based system with a learner-first approach that can be applied both on-campus and in elearning systems. This work is timely with the dramatic education change, with a notable rise of e-learning due to the COVID-19 pandemic.
机译:对计算机程序的持续评估并为计算机编程学生提供信息。然而,SWIFT和形成的反馈可能是挑战,因为它通常通过手动分级通常是教授的压力和繁琐的任务。迫切需要一个学习管理系统(LMS),在竞争性环境中提供即时和详细反馈,以获得更好的教育经验。在这项研究中,我们介绍了评估者学习管理系统。 Evalseer是一个带有智能自动分级发动机的LMS,以使学习者能激励并帮助他们前进。代码评估过程涵盖了加强编码能力的各种标准,并为学习者提供他们需要改进的方向。这些标准包括编码样式,代码功能,动态测试用例和成功编译。 EvalSeer使用长短期内存(LSTM)网络进行代码分析以检测语法错误并预测潜在修复。此外,该系统应解释有关相关参考的建议修复。 Evalseer是一种易于使用的基于云的系统,具有学习者 - 首要方法,可以应用于校园内和电子学习系统。这项工作与戏剧性的教育变革及时,由于Covid-19大流行,以造成的电子学习崛起。

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