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Lei Guo; Wenjie Zhou; Xiao Li – Journal of Educational and Behavioral Statistics, 2024
The testlet design is very popular in educational and psychological assessments. This article proposes a new cognitive diagnosis model, the multiple-choice cognitive diagnostic testlet (MC-CDT) model for tests using testlets consisting of MC items. The MC-CDT model uses the original examinees' responses to MC items instead of dichotomously scored…
Descriptors: Multiple Choice Tests, Diagnostic Tests, Accuracy, Computer Software
Fendler, Richard J.; Yates, Michael C.; Godbey, Jonathan M. – Journal of Instructional Pedagogies, 2023
This research utilizes a unique, validated, multiple-choice exam design that allows researchers to observe and measure the degree to which students copy answers from their peers. Using data collected from the exam, this study investigates whether asking students to sign an honor code at the start of the exam reduced instances of cheating relative…
Descriptors: Cheating, Prevention, Multiple Choice Tests, Ethics
Philip Newton; Maira Xiromeriti – Assessment & Evaluation in Higher Education, 2024
Media coverage suggests that ChatGPT can pass examinations based on multiple choice questions (MCQs), including those used to qualify doctors, lawyers, scientists etc. This poses a potential risk to the integrity of those examinations. We reviewed current research evidence regarding the performance of ChatGPT on MCQ-based examinations in higher…
Descriptors: Multiple Choice Tests, Artificial Intelligence, Integrity, Computer Software
Roger Young; Emily Courtney; Alexander Kah; Mariah Wilkerson; Yi-Hsin Chen – Teaching of Psychology, 2025
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-…
Descriptors: Item Response Theory, Multiple Choice Tests, Psychology, Textbooks
Mahlianurrahman; Lasmawan, I. Wayan; Candiasa, I. Made; Suastra, I. Wayan – Pegem Journal of Education and Instruction, 2023
This study aims to describe the effect of the Nyerayo-based Science, Environment, Technology, and Society learning model on the scientific literacy skills of elementary school students in East Kluet District, South Aceh Regency. Learning Science, Environment, Technology, Society (SETS) has an important role in improving the scientific literacy and…
Descriptors: Science Instruction, Scientific Literacy, Elementary School Students, Comparative Analysis
Mary Jane Brundage; Alexandru Maries; Chandralekha Singh – Physical Review Physics Education Research, 2023
The Energy and Momentum Conceptual Survey (EMCS) is a multiple-choice survey that contains conceptual problems involving a variety of energy and momentum concepts covered in a typical introductory physics course for science and engineering majors. Prior studies suggest that many concepts on the survey are challenging for introductory physics…
Descriptors: Physics, Energy, Scientific Concepts, Concept Formation
Kamaludeen Samaila; Hosam Al-Samarraie – Journal of Applied Research in Higher Education, 2024
Purpose: The flipped classroom model is an emerging teaching pedagogy in universities, colleges and secondary schools. This model will likely be successful if students prepare and acquire basic knowledge before class hours. Pre-class video lectures are common for students to access knowledge before class hours. However, students often do not watch…
Descriptors: Learner Engagement, Outcomes of Education, Teaching Methods, Flipped Classroom
Yenny Anwar; Adeng Slamet; Ulfa Daniaty – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2023
This research is quantitative research to determine the effect of using the Discovery Learning model to assist animation video on the critical thinking skills of students grade XI on the digestive system. The research method used is Quasi Experiment with a Non-equivalent Control Group Design and used purposive sampling. The research instruments…
Descriptors: Discovery Learning, Critical Thinking, Science Instruction, Animation
Mickael Antoine Joseph; Jansirani Natarajan; Omar Al Zaabi; Srinivasa Rao Sirasanagandla – Anatomical Sciences Education, 2025
Anatomy and physiology courses are foundational in nursing education but are often perceived as challenging due to heavy content load. Innovative teaching methods, including social media platforms like Instagram Reels, may enhance student engagement and learning. In this quasi-experimental pre-post-test design with a control group, we examined the…
Descriptors: Student Motivation, Anatomy, Physiology, Science Instruction
James Booker; Charlotte Woodward; Charles Taylor; Alistair Robson; Scott Border – Anatomical Sciences Education, 2024
Online anatomical resources are rising in popularity since the COVID-19 pandemic, but the pedagogical principles and effectiveness of their use remain unclear. This article aims to demonstrate evidence-informed ways in which fellow educators can create engaging online learning resources in clinical neuroanatomy and compare the effectiveness of…
Descriptors: Anatomy, Science Instruction, Case Studies, Evidence Based Practice
Katrin Klingbeil; Fabian Rösken; Bärbel Barzel; Florian Schacht; Kaye Stacey; Vicki Steinle; Daniel Thurm – ZDM: Mathematics Education, 2024
Assessing students' (mis)conceptions is a challenging task for teachers as well as for researchers. While individual assessment, for example through interviews, can provide deep insights into students' thinking, this is very time-consuming and therefore not feasible for whole classes or even larger settings. For those settings, automatically…
Descriptors: Multiple Choice Tests, Formative Evaluation, Mathematics Tests, Misconceptions
Herrmann-Abell, Cari F.; Hardcastle, Joseph; DeBoer, George E. – Grantee Submission, 2022
As implementation of the "Next Generation Science Standards" moves forward, there is a need for new assessments that can measure students' integrated three-dimensional science learning. The National Research Council has suggested that these assessments be multicomponent tasks that utilize a combination of item formats including…
Descriptors: Multiple Choice Tests, Conditioning, Test Items, Item Response Theory
Dewi Ekaputri Pitorini; Suciati; Harlita – Journal of Learning for Development, 2024
This study aimed at testing the effectiveness of an e-module based on ProblemBased Learning combined with Socratic Dialogue on the topic of environmental change in improving school students' critical thinking skills. This research was a quasi-experimental study and used a non-randomised control group, pre-test/posttest design. The sampling…
Descriptors: Critical Thinking, Electronic Learning, Learning Processes, Questioning Techniques
Harun Bayer; Fazilet Gül Ince Araci; Gülsah Gürkan – International Journal of Technology in Education and Science, 2024
The rapid advancement of artificial intelligence technologies, their pervasive use in every field, and the growing understanding of the benefits they bring have led actors in the education sector to pursue research in this field. In particular, the use of artificial intelligence tools has become more prevalent in the education sector due to the…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Technology Uses in Education
Najeh Rajeh Alsalhi; Abdellateef Abdelhafez Alqawasmi; Bushra Ahmad Alakashee; Sami Al-Qatawneh; Abdalla Falah El-Mneizel; Ali Ahmad Al-Barakat; Samih Mahmoud Al-Karasneh – Journal of International Students, 2024
This paper aims to assess the impact of the reciprocal teaching strategy on the academic performance of student-teachers enrolled in the Higher Professional Diploma (HDE) program at Ajman University, United Arab Emirates. The study adopts a quasi-experimental design, employing pre- and post-tests and a control-experimental group configuration. The…
Descriptors: Teaching Methods, Reciprocal Teaching, Transfer of Training, Generalization