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Erol, Ahmet; Yurdakal, Ibrahim Halil; Tekin Karagöz, Ceren – Malaysian Online Journal of Educational Technology, 2023
The "metaverse," which bridges augmented and virtual reality as mixed reality and includes technological phenomena such as artificial intelligence, continues to be an agenda topic. It is foreseen that the concept in question will accelerate the changes in education and teaching activities, as in many other fields. In this research, a…
Descriptors: Computer Simulation, Artificial Intelligence, Likert Scales, Preservice Teachers
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Maggie Mosher; Bruce Frey; Adam Carreon; Sean Smith; Amber Rowland; Alisa Lowrey – Journal of Interactive Learning Research, 2024
The primary aim of this manuscript is to describe the process of developing a reliable and valid instrument for measuring all users, including students with disabilities, sense of presence in a virtual environment. Presence can be described as feeling a part of another place other than where you are. A seven-step process is discussed and was…
Descriptors: Test Construction, Test Reliability, Test Validity, Students with Disabilities
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Luo, Wei; Smith, Thomas J.; Whalley, Kyle; Darling, Andrew; Ormand, Carol; Hung, Wei-Chen; Chiang, Jui-Ling; Pelletier, Jon; Duffin, Kirk – British Journal of Educational Technology, 2019
This paper presents results from a randomized experimental design replicated over four semesters that compared students' performance in understanding landform evolution processes as measured by the pretest to posttest score growth between two treatment methods: an online interactive simulation tool and a paper-based exercise. While both methods…
Descriptors: Earth Science, Models, Science Tests, Computer Simulation
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Cerchiara, Jack A.; Kim, Kerry J.; Meir, Eli; Wenderoth, Mary Pat; Doherty, Jennifer H. – Advances in Physiology Education, 2019
The basis for understanding neurophysiology is understanding ion movement across cell membranes. Students in introductory courses recognize ion concentration gradients as a driving force for ion movement but struggle to simultaneously account for electrical charge gradients. We developed a 17-multiple-choice item assessment of students'…
Descriptors: Introductory Courses, Neurology, Physiology, Cytology
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Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
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Bulut, Okan; Kan, Adnan – Eurasian Journal of Educational Research, 2012
Problem Statement: Computerized adaptive testing (CAT) is a sophisticated and efficient way of delivering examinations. In CAT, items for each examinee are selected from an item bank based on the examinee's responses to the items. In this way, the difficulty level of the test is adjusted based on the examinee's ability level. Instead of…
Descriptors: Adaptive Testing, Computer Assisted Testing, College Entrance Examinations, Graduate Students
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Belov, Dmitry I.; Armstrong, Ronald D.; Weissman, Alexander – Applied Psychological Measurement, 2008
This article presents a new algorithm for computerized adaptive testing (CAT) when content constraints are present. The algorithm is based on shadow CAT methodology to meet content constraints but applies Monte Carlo methods and provides the following advantages over shadow CAT: (a) lower maximum item exposure rates, (b) higher utilization of the…
Descriptors: Test Items, Monte Carlo Methods, Law Schools, Adaptive Testing
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Barab, Sasha A.; Scott, Brianna; Siyahhan, Sinem; Goldstone, Robert; Ingram-Goble, Adam; Zuiker, Steven J.; Warren, Scott – Journal of Science Education and Technology, 2009
Drawing on game-design principles and an underlying situated theoretical perspective, we developed and researched a 3D game-based curriculum designed to teach water quality concepts. We compared undergraduate student dyads assigned randomly to four different instructional design conditions where the content had increasingly level of…
Descriptors: Environmental Education, Undergraduate Students, Water Quality, Test Items
Rizavi, Saba; Way, Walter D.; Lu, Ying; Pitoniak, Mary; Steffen, Manfred – Online Submission, 2004
The purpose of this study was to use realistically simulated data to evaluate various CAT designs for use with the verbal reasoning measure of the Medical College Admissions Test (MCAT). Factors such as item pool depth, content constraints, and item formats often cause repeated adaptive administrations of an item at ability levels that are not…
Descriptors: Test Items, Test Bias, Item Banks, College Admission