Studies of test score comparability have been conducted at different stages in the history of testing to ensure that test results carry the same meaning regardless of test conditions. The expansion of at-home testing via remote proctoring sparked another round of interest. This study uses data from three licensure tests to assess potential mode…

The use of multistage adaptive testing (MST) has gradually increased in large-scale testing programs as MST achieves a balanced compromise between linear test design and item-level adaptive testing. MST works on the premise that each examinee gives their best effort when attempting the items, and their responses truly reflect what they know or can…

The article deals with the results of mathematics examinations at the University of Finance and Administration in Prague before, during, and immediately after the COVID-19 pandemic-related restrictions. The first objective is to evaluate whether the non-standard forms of testing (correspondence and online), used on an emergency basis during the…

In language assessment, AI technology has been incorporated in task design, assessment delivery, automated scoring of performance-based tasks, score reporting, and provision of feedback. AI technology is also used for collecting and analyzing performance data in language assessment validation. Research has been conducted to investigate the…

In recent years, Computerized Multistage Testing (MST), with their versatile benefits, have found themselves a wide application in large scale assessments and have increased their popularity. The fact that forms can be made ready before the exam application, such as a linear test, and that they can be adapted according to the test taker's ability…

Over the last 20 years, many methods have been proposed to use process data (e.g., response time) to detect changes in engagement during the test-taking process. However, many of these methods were developed and evaluated in highly similar testing contexts: 30 or more single-select multiple-choice items presented in a linear, fixed sequence in…

A test battery with two different levels of adaptation is presented: a within-subtest level for the selection of the items in the subtests and a between-subtest level to move from one subtest to the next. The battery runs on a two-level model consisting of a regular response model for each of the subtests extended with a second level for the joint…

Purpose: Based on the general formula, which depends on the length and difficulty of the test, the number of respondents and the number of ability levels, this study aims to provide a closed formula for the adaptive tests with medium difficulty (probability of solution is p = 1/2) to determine the accuracy of the parameters for each item and in…

The multiple response structure can underlie several different technology-enhanced item types. With the increased use of computer-based testing, multiple response items are becoming more common. This response type holds the potential for being scored polytomously for partial credit. However, there are several possible methods for computing raw…

This study aimed to examine the effect of four types of assessment on overall student success in an online college-level climate change course. Quizzes, midterms, lab assignments, and a capstone project as well as knowledge check questions were used to assess different aspects of student learning, consistent with Bloom's taxonomy hierarchy.…

In this paper, a secure exam proctoring assistant 'EMTIHAN' (which means exam in Arabic/Persian/Urdu/Turkish languages) is developed to address concerns related to online exams for handwritten topics by allowing students to submit their answers online securely via their mobile devices. This system is designed with an aim to lessen the student's…

Unproctored and teacher-proctored exams have been widely used to prevent cheating at many universities worldwide. However, no empirical studies have directly compared their effectiveness in promoting academic integrity in actual exams. To address this significant gap, in four preregistered field studies, we examined the effectiveness of…

We developed the Physics Inventory of Quantitative Literacy (PIQL) to assess students' quantitative reasoning in introductory physics contexts. The PIQL includes several "multiple-choice-multipleresponse" (MCMR) items (i.e., multiple-choice questions for which more than one response may be selected) as well as traditional single-response…

In this three-study investigation, we applied various approaches to score drawings created in response to both Form A and Form B of the Torrance Tests of Creative Thinking-Figural (broadly TTCT-F) as well as the Multi-Trial Creative Ideation task (MTCI). We focused on TTCT-F in Study 1, and utilizing a random forest classifier, we achieved 79% and…

The purpose of this study is to generate non-verbal items for a visual reasoning test using templated-based automatic item generation (AIG). The fundamental research method involved following the three stages of template-based AIG. An item from the 2016 4th-grade entrance exam of the Science and Art Center (known as BILSEM) was chosen as the…