In this study, a computer‐based evaluation (CBE) software tool, namely CBE‐MCQs, is proposed to assist the instructor to evaluate and analyze traditional classroom‐based exams, which include multiple‐choice questions (MCQs) reliably, quickly, and automatically. Using the proposed CBE‐MCQs software tool while performing question analysis, the learning outcome‐based analyzes are performed by matching the learning outcomes of the courses with the exam questions. With question‐based evaluations, item analyzes such as item difficulty, item discrimination, and item distracters can be made easily. Also, with the question‐based evaluation, the instructor of the course can effectively measure the extent to which students achieve the learning outcomes of the related course. Thus, the CBE‐MCQs tool helps successful maintenance of both accreditation and training processes with the analysis it provides to the instructors. In addition, the final exam assessment of the course based on MCQs within the scope of the case study was carried out with the CBE‐MCQs software tool. Each MCQ was evaluated based on classical theory within the scope of difficulty index (P), discrimination index (D), and distracter efficiency (DE). It is observed that association between D and P was statistically significant according to Pearson correlation (r = −0.600) and χ2 (χ2 = 15.98, df = 8; α = 0.05). Also, a system usability survey of 10 statements was applied to the instructors using this software to evaluate the usability of the CBE‐MCQs software tool. As a result of a series of experimental studies and survey, the developed CBE‐MCQs software tool is evaluated as simple, effective, and satisfactory by 87.4% of the instructors.

中文翻译：

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基于计算机的评估以评估学生在多项选择题考试中的学习情况：CBE-MCQ 软件工具

在本研究中，提出了一种基于计算机的评估 (CBE) 软件工具，即 CBE-MCQ，以帮助教师评估和分析传统的课堂考试，其中包括可靠、快速和自动地。在执行问题分析的同时使用建议的 CBE-MCQs 软件工具，通过将课程的学习成果与考试问题相匹配来执行基于学习成果的分析。通过基于问题的评估，可以轻松进行项目分析，例如项目难度、项目辨别力和项目干扰因素。此外，通过基于问题的评估，课程讲师可以有效衡量学生在相关课程中取得学习成果的程度。因此，CBE-MCQ 工具通过提供给讲师的分析帮助成功维护认证和培训过程。此外，案例研究范围内基于 MCQ 的课程的期末考试评估是使用 CBE-MCQ 软件工具进行的。每个 MCQ 根据经典理论在难度指数 (P)、辨别指数 (D) 和干扰效率 (DE) 范围内进行评估。根据 Pearson 相关性 (r = -0.600) 和 χ2 (χ2 = 15.98, df = 8; α = 0.05)，观察到 D 和 P 之间的关联具有统计学意义。此外，还对使用该软件的讲师进行了 10 条语句的系统可用性调查，以评估 CBE-MCQ 软件工具的可用性。经过一系列的实验研究和调查，