Exams are designed to rank students objectively by their abilities, including elements such as time limits, the number and difficulty of questions, and negative marking policies. Using data from a lab-in-field experiment, we develop and estimate a model of student behavior in multiple-choice exams that incorporates the effects of time constraints…

Background/purpose: This study aimed to reveal the accuracy of estimation of multiple-choice test items parameters following the models of the item-response theory in measurement. Materials/methods: The researchers depended on the measurement accuracy indicators, which express the absolute difference between the estimated and actual values of the…

This study introduces a new chi-square test statistic for testing the equality of response frequencies among distracters in multiple-choice tests. The formula uses the information from the number of correct answers and wrong answers, which becomes the basis of calculating the expected values of response frequencies per distracter. The method was…

Linear logistic test models (LLTMs), leveraging item response theory and linear regression, offer an elegant method for learning about item characteristics in complex content areas. This study used LLTMs to model single-best-answer, multiple-choice-question response data from two medical subspecialty certification examinations in multiple years…

Multiple Choice Questions (MCQs) are an important evaluation technique for both examinations and learning activities. However, the manual creation of questions is time-consuming and challenging for teachers. Hence, there is a notable demand for an Automatic Question Generation (AQG) system. Several systems have been created for this aim, but the…

Background/purpose: The purposes of this research are to develop a reliable and valid assessment tool for measuring systems thinking skills in upper primary students in Thailand and to establish a normative criterion for evaluating their systems thinking abilities based on educational standards. Materials/methods: The study followed a three-phase…

Complex subjects such as physiology can be challenging for students to learn. These challenges are not uncommon in implementing the learning process in physiology and affect learning outcomes. Dramatization is an interactive and effective method to improve learning outcomes. In a project designed by senior medical students, junior medical students…

This study addressed a gap in existing research on Multiple-Choice (MC) cloze tests by focusing on the learners' perspective, specifically examining the difficulties faced by vocational high school students (VHSs). A nationwide sample of 293 VHSs participated, providing both quantitative and qualitative data through a self-developed questionnaire.…

Background: Multiple-choice item (MCI) assessments are burdensome for instructors to develop. Artificial intelligence (AI, e.g., ChatGPT) can streamline the process without sacrificing quality. The quality of AI-generated MCIs and human experts is comparable. However, whether the quality of AI-generated MCIs is equally good across various domain-…

This study aimed to develop a valid and reliable multiple-choice achievement test for the subject area of ecology. The study was conducted within the framework of exploratory sequential design based on mixed research methods, and the study group consisted of a total of 250 middle school students studying at the sixth and seventh grade level. In…

Multiple-select multiple-choice items, or multiple-choice items with more than one correct answer, are used to quickly assess content on standardized assessments. Because there are multiple keys to these item types, there are also multiple ways to score student responses to these items. The purpose of this study was to investigate how changing the…

In this study, it was aimed to develop an achievement test taking into account the subject acquisitions of the sound and properties unit in the sixth-grade science course. In the test development phase, firstly, literature review for the study was conducted. Then, 30 multiple choice questions in align with the subject acquisition in the 2018…

Learning experience designers consistently balance the trade-off between open and close-ended activities. The growth and scalability of Computer Based Learning Platforms (CBLPs) have only magnified the importance of these design trade-offs. CBLPs often utilize close-ended activities (i.e. Multiple-Choice Questions [MCQs]) due to feasibility…

This qualitative study looks at multiple-choice questions (MCQs) in examinations and their effectiveness in testing higher-order cognition. While there are claims that MCQs can do this, we consider many assertions problematic because of the difficulty in interpreting what higher-order cognition consists of and whether or not assessment tasks…

Trigonometry is an important part of secondary school mathematics, but it is usually challenging for students to understand and learn. Since trigonometry is learned and used at a university level in many fields, like physics or geodesy, it is important to have an insight into students' trigonometry knowledge before the beginning of the university…