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Aditya Shah; Ajay Devmane; Mehul Ranka; Prathamesh Churi – Education and Information Technologies, 2024
Online learning has grown due to the advancement of technology and flexibility. Online examinations measure students' knowledge and skills. Traditional question papers include inconsistent difficulty levels, arbitrary question allocations, and poor grading. The suggested model calibrates question paper difficulty based on student performance to…
Descriptors: Computer Assisted Testing, Difficulty Level, Grading, Test Construction
Tom Ehrhart; Tim Niclas Höffler; Simon Grund; Marlit Annalena Lindner – Journal of Educational Psychology, 2024
Research on the multimedia effect in testing indicates that static representational pictures (RPs) and, potentially, dynamic RPs that further subdivide the picture into segments may support students' mental processing. This might be especially relevant for mathematical word problems that pose high mental demands in a multistage solution process.…
Descriptors: Word Problems (Mathematics), Animation, Foreign Countries, Secondary School Students
Parker, Mark A. J.; Hedgeland, Holly; Jordan, Sally E.; Braithwaite, Nicholas St. J. – European Journal of Science and Mathematics Education, 2023
The study covers the development and testing of the alternative mechanics survey (AMS), a modified force concept inventory (FCI), which used automatically marked free-response questions. Data were collected over a period of three academic years from 611 participants who were taking physics classes at high school and university level. A total of…
Descriptors: Test Construction, Scientific Concepts, Physics, Test Reliability
Berger, Stéphanie; Verschoor, Angela J.; Eggen, Theo J. H. M.; Moser, Urs – Journal of Educational Measurement, 2019
Calibration of an item bank for computer adaptive testing requires substantial resources. In this study, we investigated whether the efficiency of calibration under the Rasch model could be enhanced by improving the match between item difficulty and student ability. We introduced targeted multistage calibration designs, a design type that…
Descriptors: Simulation, Computer Assisted Testing, Test Items, Difficulty Level
Sahin, Melek Gulsah – International Journal of Assessment Tools in Education, 2020
Computer Adaptive Multistage Testing (ca-MST), which take the advantage of computer technology and adaptive test form, are widely used, and are now a popular issue of assessment and evaluation. This study aims at analyzing the effect of different panel designs, module lengths, and different sequence of a parameter value across stages and change in…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Item Response Theory
Krzic, Maja; Brown, Sandra – Natural Sciences Education, 2022
The transition of our large ([approximately]300 student) introductory soil science course to the online setting created several challenges, including engaging first- and second-year students, providing meaningful hands-on learning activities, and setting up online exams. The objective of this paper is to describe the development and use of…
Descriptors: Introductory Courses, Social Sciences, Online Courses, Educational Change
Zhang, Lishan; VanLehn, Kurt – Interactive Learning Environments, 2021
Despite their drawback, multiple-choice questions are an enduring feature in instruction because they can be answered more rapidly than open response questions and they are easily scored. However, it can be difficult to generate good incorrect choices (called "distractors"). We designed an algorithm to generate distractors from a…
Descriptors: Semantics, Networks, Multiple Choice Tests, Teaching Methods
Gangur, Mikuláš; Plevny, Miroslav – Journal on Efficiency and Responsibility in Education and Science, 2018
The paper presents a possible way of solving the problem of creating more test variants for a large number of students divided into groups. The proposed solution may consist in introducing a parameterized automatic test generator. The principle of an automatic parameterized test generator is shown. The process of the question tree construction…
Descriptors: Computer Assisted Testing, Test Construction, Test Items, Heuristics
Designing Computer-Based Tests: Design Guidelines from Multimedia Learning Studied with Eye Tracking
Dirkx, K. J. H.; Skuballa, I.; Manastirean-Zijlstra, C. S.; Jarodzka, H. – Instructional Science: An International Journal of the Learning Sciences, 2021
The use of computer-based tests (CBTs), for both formative and summative purposes, has greatly increased over the past years. One major advantage of CBTs is the easy integration of multimedia. It is unclear, though, how to design such CBT environments with multimedia. The purpose of the current study was to examine whether guidelines for designing…
Descriptors: Test Construction, Computer Assisted Testing, Multimedia Instruction, Eye Movements
Munoz, Albert; Mackay, Jonathon – Journal of University Teaching and Learning Practice, 2019
Online testing is a popular practice for tertiary educators, largely owing to efficiency in automation, scalability, and capability to add depth and breadth to subject offerings. As with all assessments, designs need to consider whether student cheating may be inadvertently made easier and more difficult to detect. Cheating can jeopardise the…
Descriptors: Cheating, Test Construction, Computer Assisted Testing, Classification
Bramley, Tom; Crisp, Victoria – Assessment in Education: Principles, Policy & Practice, 2019
For many years, question choice has been used in some UK public examinations, with students free to choose which questions they answer from a selection (within certain parameters). There has been little published research on choice of exam questions in recent years in the UK. In this article we distinguish different scenarios in which choice…
Descriptors: Test Items, Test Construction, Difficulty Level, Foreign Countries
Arce-Ferrer, Alvaro J.; Bulut, Okan – Journal of Experimental Education, 2019
This study investigated the performance of four widely used data-collection designs in detecting test-mode effects (i.e., computer-based versus paper-based testing). The experimental conditions included four data-collection designs, two test-administration modes, and the availability of an anchor assessment. The test-level and item-level results…
Descriptors: Data Collection, Test Construction, Test Format, Computer Assisted Testing
Kim, Ahyoung Alicia; Tywoniw, Rurik L.; Chapman, Mark – Language Assessment Quarterly, 2022
Technology-enhanced items (TEIs) are innovative, computer-delivered test items that allow test takers to better interact with the test environment compared to traditional multiple-choice items (MCIs). The interactive nature of TEIs offer improved construct coverage compared with MCIs but little research exists regarding students' performance on…
Descriptors: Language Tests, Test Items, Computer Assisted Testing, English (Second Language)
Gu, Lin; Ling, Guangming; Liu, Ou Lydia; Yang, Zhitong; Li, Guirong; Kardanova, Elena; Loyalka, Prashant – Assessment & Evaluation in Higher Education, 2021
We examine the effects of computer-based versus paper-based assessment of critical thinking skills, adapted from English (in the U.S.) to Chinese. Using data collected based on a random assignment between the two modes in multiple Chinese colleges, we investigate mode effects from multiple perspectives: mean scores, measurement precision, item…
Descriptors: Critical Thinking, Tests, Test Format, Computer Assisted Testing
Zesch, Torsten; Horbach, Andrea; Melanie Goggin, Melanie; Wrede-Jackes, Jennifer – Research-publishing.net, 2018
We present a tool for the creation and curation of C-tests. C-tests are an established tool in language proficiency testing and language learning. They require examinees to complete a text in which the second half of every second word is replaced by a gap. We support teachers and test designers in creating such tests through a web-based system…
Descriptors: Language Tests, Language Proficiency, Second Language Learning, Second Language Instruction