Publication Date
In 2025 | 4 |
Since 2024 | 9 |
Since 2021 (last 5 years) | 26 |
Since 2016 (last 10 years) | 42 |
Since 2006 (last 20 years) | 52 |
Descriptor
Source
Author
Steedle, Jeffrey | 3 |
Carpenter, Tara S. | 2 |
Hodges, Linda C. | 2 |
Hull, Michael M. | 2 |
Mae, Naohiro | 2 |
Meir, Eli | 2 |
Yasuda, Jun-ichiro | 2 |
Alexander, Cara J. | 1 |
Angerhofer, Alexander | 1 |
Anne Cleary | 1 |
Aoife Morrin | 1 |
More ▼ |
Publication Type
Journal Articles | 48 |
Reports - Research | 45 |
Reports - Descriptive | 4 |
Tests/Questionnaires | 2 |
Dissertations/Theses -… | 1 |
Information Analyses | 1 |
Numerical/Quantitative Data | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 52 |
Postsecondary Education | 49 |
Secondary Education | 2 |
Elementary Education | 1 |
Elementary Secondary Education | 1 |
Grade 5 | 1 |
High Schools | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Two Year Colleges | 1 |
Audience
Location
Florida | 2 |
France | 2 |
Indonesia | 2 |
Japan | 2 |
Turkey | 2 |
Australia | 1 |
Canada | 1 |
Germany | 1 |
Minnesota | 1 |
Nevada (Las Vegas) | 1 |
New York | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
ACT Assessment | 3 |
Force Concept Inventory | 2 |
What Works Clearinghouse Rating
Plasencia, Javier – Biochemistry and Molecular Biology Education, 2023
Multiple studies have shown that testing contributes to learning at all educational levels. In this observational classroom study, we report the use of a learning tool developed for a Genetics and Molecular Biology course at the college level. An interactive set of practice exams that included 136 multiple choice questions (MCQ) or matching…
Descriptors: Molecular Biology, Genetics, Science Tests, College Science
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
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
Marli Crabtree; Kenneth L. Thompson; Ellen M. Robertson – HAPS Educator, 2024
Research has suggested that changing one's answer on multiple-choice examinations is more likely to lead to positive academic outcomes. This study aimed to further understand the relationship between changing answer selections and item attributes, student performance, and time within a population of 158 first-year medical students enrolled in a…
Descriptors: Anatomy, Science Tests, Medical Students, Medical Education
Martin Braun – New Directions in the Teaching of Natural Sciences, 2024
During the COVID pandemic, universities around the globe had to move not only their content delivery online, but also their assessments. Due to COVID causing significant upheaval in Higher Education (HE), this enforced experiment also afforded an opportunity to reflect on traditional, invigilated, closed book exams (ICBE) resulting in research and…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Educational Technology
Kempegowda, Swetha Nagarahalli; Ramachandra, Shobha Chikkavaddaragudi; Arun, Brunda; Devaraju, Abhijith; Shivashankar, Kusuma Kasapura; Raghunathachar, Sahana Kabbathy; Bettadapura, Anjalidevi Shankarrao; Puttalingaiah, Sujatha; Devegowda, Devananda; Vishwanath, Prashant; Nataraj, Suma Maduvanahalli; Prashant, Akila – Biochemistry and Molecular Biology Education, 2023
Online assessments are needed during the prevailing pandemic situation to continue educational activities while ensuring safety. After conducting the online practical assessment (OPrA) in Biochemistry, we analyzed the students' responses. The blueprint of the OPrA was prepared by the faculty, referring to the various levels and domains of Bloom's…
Descriptors: Biochemistry, Science Instruction, Science Tests, Feedback (Response)
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
Maarten T. P. Beerepoot – Journal of Chemical Education, 2023
Digital automated assessment is a valuable and time-efficient tool for educators to provide immediate and objective feedback to learners. Automated assessment, however, puts high demands on the quality of the questions, alignment with the intended learning outcomes, and the quality of the feedback provided to the learners. We here describe the…
Descriptors: Formative Evaluation, Summative Evaluation, Chemistry, Science Instruction
Pleasants, Jacob; Pleasants, John M.; Pleasants, Barbara P. – Online Learning, 2022
As online courses become increasingly common at the college level, an ongoing concern is how to ensure academic integrity in the online environment. One area that has received particular attention is that of preventing cheating during unproctored online exams. In this study, we examine students' behavior during unproctored exams taken in an online…
Descriptors: Online Courses, Cheating, Computer Assisted Testing, Student Behavior
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
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
Laura L. Beaton – Journal of Educational Technology Systems, 2025
Online quizzes and learning platforms provided by textbook publishers have become common components of undergraduate education. Here, I examine how participation in these formative assessments related to student course performance. Over multiple semesters, students completed either free online unlimited attempt quizzes or assignments from a…
Descriptors: Formative Evaluation, Computer Assisted Testing, Tests, Student Evaluation
Olsho, Alexis; Smith, Trevor I.; Eaton, Philip; Zimmerman, Charlotte; Boudreaux, Andrew; White Brahmia, Suzanne – Physical Review Physics Education Research, 2023
We developed the Physics Inventory of Quantitative Literacy (PIQL) to assess students' quantitative reasoning in introductory physics contexts. The PIQL includes several "multiple-choice-multipleresponse" (MCMR) items (i.e., multiple-choice questions for which more than one response may be selected) as well as traditional single-response…
Descriptors: Multiple Choice Tests, Science Tests, Physics, Measures (Individuals)
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
Parker, Mark A. J.; Hedgeland, Holly; Braithwaite, Nicholas; Jordan, Sally – European Journal of Science and Mathematics Education, 2022
The study investigated student reaction to the alternative mechanics survey (AMS), a modified force concept inventory, which used automatically marked free-response questions and offered limited feedback to students after their answers had been submitted. Eight participants were observed in completing the AMS, and they were interviewed to gain…
Descriptors: Student Attitudes, Feedback (Response), Learning Processes, Physics