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Priya Harindranathan; James Folkestad; Jemshid K. – Journal of Educational Technology, 2025
Due to the use of online learning platforms and learning management systems, students are now working unsupervised on quiz-taking platforms. These unsupervised online forms of assessment are replacing traditional supervised quizzes in conventional classrooms. It is unclear whether the quiz-taking behaviors of students in these settings align with…
Descriptors: Undergraduate Students, Microbiology, Science Education, Computer Assisted Testing
Vy Le; Jayson M. Nissen; Xiuxiu Tang; Yuxiao Zhang; Amirreza Mehrabi; Jason W. Morphew; Hua Hua Chang; Ben Van Dusen – Physical Review Physics Education Research, 2025
In physics education research, instructors and researchers often use research-based assessments (RBAs) to assess students' skills and knowledge. In this paper, we support the development of a mechanics cognitive diagnostic to test and implement effective and equitable pedagogies for physics instruction. Adaptive assessments using cognitive…
Descriptors: Physics, Science Education, Scientific Concepts, Diagnostic Tests
Ali Al-Omari; Somaya Al-Naami; Alaa Abu Ali – Educational Process: International Journal, 2025
Background/purpose: This study addresses the limited integration of digital learning applications in science education assessment in Jordan, where technological adoption in schools faces infrastructural and skill-related challenges. The main purpose was to investigate the extent to which science teachers in Mafraq Directorate of Education use…
Descriptors: Foreign Countries, Science Education, Computer Assisted Testing, Influences
Wen Xin Zhang; John J. H. Lin; Ying-Shao Hsu – Journal of Computer Assisted Learning, 2025
Background Study: Assessing learners' inquiry-based skills is challenging as social, political, and technological dimensions must be considered. The advanced development of artificial intelligence (AI) makes it possible to address these challenges and shape the next generation of science education. Objectives: The present study evaluated the SSI…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Inquiry, Active Learning
Pantiwati, Yuni; Sari, Tasya Novian Indah; Aldya, Riantina Fitra; Arifin, As'ad Syamsul – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2023
The integration of technology into learning assessment activities makes it easy for educators to carry out online assessments which provide convenience for students and an effective assessment. The purpose of this research is to find out the response of students in the Biology Education Study Program towards online assessment platforms for Biology…
Descriptors: College Students, Student Attitudes, Computer Assisted Testing, Biology
Pengelley, James; Whipp, Peter R.; Rovis-Hermann, Nina – Educational Psychology Review, 2023
The aim of the present study is to reconcile previous findings (a) that testing mode has no effect on test outcomes or cognitive load (Comput Hum Behav 77:1-10, 2017) and (b) that younger learners' working memory processes are more sensitive to computer-based test formats (J Psychoeduc Assess 37(3):382-394, 2019). We addressed key methodological…
Descriptors: Scores, Cognitive Processes, Difficulty Level, Secondary School Students
Sibel Sadi Yilmaz – Shanlax International Journal of Education, 2023
The purpose of this study is to examine the views of the course teacher, students' and participant researcher's field notes about traditional (smart board, pen and paper, oral) and Web 2.0 supported (A Sample of Kahoot) formative assessment in 5th grade science course. The study employed case study design. The participants of the study were a…
Descriptors: Teacher Attitudes, Student Attitudes, Computer Assisted Testing, Formative Evaluation
Nazish Shahid – Interactive Learning Environments, 2023
The current investigation reflects on the insufficient performance of students in virtual exams in the era of transformation of the physical mode of education to digital one due to the passive adaptation to the technical drive of the virtual environment, the tenuous command of platform's technical language, especially in mathematics and physics…
Descriptors: Evaluation Methods, Computer Assisted Testing, Academic Achievement, Electronic Learning
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
Zhai, Xiaoming; Shi, Lehong; Nehm, Ross H. – Journal of Science Education and Technology, 2021
Machine learning (ML) has been increasingly employed in science assessment to facilitate automatic scoring efforts, although with varying degrees of success (i.e., magnitudes of machine-human score agreements [MHAs]). Little work has empirically examined the factors that impact MHA disparities in this growing field, thus constraining the…
Descriptors: Meta Analysis, Man Machine Systems, Artificial Intelligence, Computer Assisted Testing
Carol Rentas; Ramapoza O'Dwyer; Rohini Ganjoo; Marcia A. Firmani; Cliff Cymrot; Yousif Barzani; Lisa S. Schwartz – International Journal of Distance Education Technologies, 2025
This study explored the relationships between English language proficiency and performance in online, asynchronous science courses. Each participant completed a Language Background Questionnaire (LBQ) to indicate if English was not their native language, thus categorizing them as an English Language Learner (ELL). The Combined English Language…
Descriptors: English Learners, Electronic Learning, Asynchronous Communication, Computer Assisted Testing
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
Haider, Ahmad S.; Al-Salman, Saleh – Journal of Applied Research in Higher Education, 2023
Purpose: The study aims to probe into university instructors' reactions to adopting the remote online learning model brought by the coronavirus disease 2019 (COVID-19) pandemic. The study investigates the instructors' perspectives, in the humanities and science classes, on the effectiveness of the emergency remote teaching (ERT) compared to…
Descriptors: Foreign Countries, College Faculty, COVID-19, Pandemics
Uhl, Juli D.; Sripathi, Kamali N.; Meir, Eli; Merrill, John; Urban-Lurain, Mark; Haudek, Kevin C. – CBE - Life Sciences Education, 2021
The focus of biology education has shifted from memorization to conceptual understanding of core biological concepts such as matter and energy relationships. To examine undergraduate learning about matter and energy, we incorporated constructed-response (CR) questions into an interactive computer-based tutorial. The objective of this tutorial is…
Descriptors: Computer Assisted Testing, Writing Evaluation, Science Education, Biology
Pantiwati, Yuni; Sarib, Tasya Novian Indah; Nurkanti, Mia – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2022
The COVID-19 Pandemic has resulted the change in every sector of life. Education institutions transform their learning methods from face-to-face learning to online-based distance learning to keep the learning process running during the pandemic era. The purpose of this study is to obtain the description and analysis results regarding learning…
Descriptors: COVID-19, Pandemics, Biology, Science Education

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