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Showing 1 to 15 of 47 results Save | Export
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Okocha, Foluke – International Journal of Web-Based Learning and Teaching Technologies, 2022
Computer Based Testing has become a prominent method in student assessment in Nigeria and student perception on this testing technique is paramount. This study examined the perception of undergraduate students towards computer based testing by comparing several modules studied by Undergraduate students in Nigeria which constitutes a major gap in…
Descriptors: Student Attitudes, Computer Assisted Testing, Foreign Countries, Undergraduate Students
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Christophe O. Soulage; Fabien Van Coppenolle; Fitsum Guebre-Egziabher – Advances in Physiology Education, 2024
Artificial intelligence (AI) has gained massive interest with the public release of the conversational AI "ChatGPT," but it also has become a matter of concern for academia as it can easily be misused. We performed a quantitative evaluation of the performance of ChatGPT on a medical physiology university examination. Forty-one answers…
Descriptors: Medical Students, Medical Education, Artificial Intelligence, Computer Software
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Pingping Zhao; Chun-Yen Chang; Yueyang Shao; Zhi Liu; Hao Zhou; Jian Liu – Journal of Baltic Science Education, 2023
Students' problem-solving strategies and the differences among strategy groups were explored by analyzing the process data collected during student interactions with computer-based science items. Data were gathered from 1516 eleventh-grade students from 4 schools in China. Analyses of the sequences of students' response actions revealed that the…
Descriptors: Foreign Countries, Problem Solving, Learning Strategies, Science Instruction
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Gerd Kortemeyer; Julian Nöhl; Daria Onishchuk – Physical Review Physics Education Research, 2024
[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] Using a high-stakes thermodynamics exam as the sample (252 students, four multipart problems), we investigate the viability of four workflows for AI-assisted grading of handwritten student solutions. We find that the…
Descriptors: Grading, Physics, Science Instruction, Artificial Intelligence
Williamson, Joanna – Cambridge University Press & Assessment, 2023
The Cambridge Digital Mocks Service offers on-screen assessments created by transferring paper-based (PB) exams into a digital test platform. This feasibility project considered the validity of extending the Digital Mocks Service to maths and science qualifications, thinking about (1) the outcomes that are likely when maths and science items are…
Descriptors: Feasibility Studies, Mathematics Tests, Science Tests, Computer Assisted Testing
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Endang Susantini; Yurizka Melia Sari; Prima Vidya Asteria; Muhammad Ilyas Marzuqi – Journal of Education and Learning (EduLearn), 2025
Assessing preservice' higher order thinking skills (HOTS) in science and mathematics is essential. Teachers' HOTS ability is closely related to their ability to create HOTS-type science and mathematics problems. Among various types of HOTS, one is Bloomian HOTS. To facilitate the preservice teacher to create problems in those subjects, an Android…
Descriptors: Content Validity, Mathematics Instruction, Decision Making, Thinking Skills
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Tadesse Hagos; Dereje Andargie – Chemistry Education Research and Practice, 2024
This study examines how students' conceptual and procedural knowledge of chemical equilibrium is affected by technology-supported formative assessment (TSFA) strategies. This study's embedded/nested mixed method research design was used to achieve the study's objective. A random sampling method was used to choose the sample of two intact classes…
Descriptors: Chemistry, Formative Evaluation, Science Instruction, Scientific Concepts
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Yasuda, Jun-ichiro; Hull, Michael M.; Mae, Naohiro – Physical Review Physics Education Research, 2022
This paper presents improvements made to a computerized adaptive testing (CAT)-based version of the FCI (FCI-CAT) in regards to test security and test efficiency. First, we will discuss measures to enhance test security by controlling for item overexposure, decreasing the risk that respondents may (i) memorize the content of a pretest for use on…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Risk Management
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Giada Spaccapanico Proietti; Mariagiulia Matteucci; Stefania Mignani; Bernard P. Veldkamp – Journal of Educational and Behavioral Statistics, 2024
Classical automated test assembly (ATA) methods assume fixed and known coefficients for the constraints and the objective function. This hypothesis is not true for the estimates of item response theory parameters, which are crucial elements in test assembly classical models. To account for uncertainty in ATA, we propose a chance-constrained…
Descriptors: Automation, Computer Assisted Testing, Ambiguity (Context), Item Response Theory
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M. Faadiel Essop; Emmanuel Bourdon – Advances in Physiology Education, 2024
Teaching physiology can be challenging as students are initially required to understand basic and abstract concepts. Thus students typically view physiology as a "difficult" subject and place an emphasis on rote learning and memorization. Here, we attempted to address this knowledge gap by introducing a pedagogical intervention into the…
Descriptors: Neurology, Physiology, Rote Learning, Memorization
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Márió Tibor Nagy; Erzsébet Korom – Journal of Baltic Science Education, 2023
Nowadays, the assessment of student performance has become increasingly technology-based, a trend that can also be observed in the evaluation of scientific reasoning, with more and more of the formerly paper-based assessment tools moving into the digital space. The study aimed to examine the reliability and validity of the paper-based and…
Descriptors: Science Process Skills, Elementary School Students, Grade 4, Science Tests
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Fadillah, Sarah Meilani; Ha, Minsu; Nuraeni, Eni; Indriyanti, Nurma Yunita – Malaysian Journal of Learning and Instruction, 2023
Purpose: Researchers discovered that when students were given the opportunity to change their answers, a majority changed their responses from incorrect to correct, and this change often increased the overall test results. What prompts students to modify their answers? This study aims to examine the modification of scientific reasoning test, with…
Descriptors: Science Tests, Multiple Choice Tests, Test Items, Decision Making
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Çinar, Ayse; Ince, Elif; Gezer, Murat; Yilmaz, Özgür – Education and Information Technologies, 2020
Worldwide, open-ended questions that require short answers have been used in many exams in fields of science, such as the International Student Assessment Program (PISA), the International Science and Maths Trends Research (TIMSS). However, multiple-choice questions are used for many exams at the national level in Turkey, especially high school…
Descriptors: Foreign Countries, Computer Assisted Testing, Artificial Intelligence, Grading
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Kay, Alison E.; Hardy, Judy; Galloway, Ross K. – British Journal of Educational Technology, 2020
This study explores the relationship between engagement with an online, free-to-use question-generation application (PeerWise) and student achievement. Using PeerWise, students can create and answer multiple-choice questions and can provide feedback to the question authors on question quality. This provides further scope for students to engage in…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Academic Achievement, Feedback (Response)
Nasution, M. K.; Surbakti, A. H. – Online Submission, 2020
This study provides an initial statistical approach as an alternative model to detect the fraudulent practice estimation of national examination (NE). Trends, patterns, and relationships were analysed from the national examination (NE) scores and the national examination integrity index (NEII) on pre-and post-computer-based national examination…
Descriptors: Educational Trends, Computer Assisted Testing, National Competency Tests, Science Education
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