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Kyeng Gea Lee; Mark J. Lee; Soo Jung Lee – International Journal of Technology in Education and Science, 2024
Online assessment is an essential part of online education, and if conducted properly, has been found to effectively gauge student learning. Generally, textbased questions have been the cornerstone of online assessment. Recently, however, the emergence of generative artificial intelligence has added a significant challenge to the integrity of…
Descriptors: Artificial Intelligence, Computer Software, Biology, Science Instruction
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
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
van de Heyde, Valentino; Siebrits, Andre – Physics Teacher, 2019
In any science field, including physics, it is important to remain abreast of new assessment methods to cater to the 21st-century student. The rationale of this paper is to argue for a move away from the use of lower-order thinking skills (LOTS) in e-assessment in favor of higher-order thinking skills (HOTS), in line with Bloom's Revised Taxonomy.…
Descriptors: Thinking Skills, Physics, Science Instruction, Computer Assisted Testing
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
Balasubramanian, Bhavani; DeSantis, Chris; Gulotta, Miriam – Journal of Chemical Education, 2020
The COVID pandemic forced many higher education institutions to pivot and switch to an online learning environment with minimal preparation. This transition was put in place during the middle of the spring semester, in March. During this transition, instructors had to quickly learn the tools of online teaching, navigate platforms like Webex and…
Descriptors: COVID-19, Pandemics, Online Courses, Electronic Learning
Sieke, Scott A.; McIntosh, Betsy B.; Steele, Matthew M.; Knight, Jennifer K. – CBE - Life Sciences Education, 2019
Understanding student ideas in large-enrollment biology courses can be challenging, because easy-to-administer multiple-choice questions frequently do not fully capture the diversity of student ideas. As part of the Automated Analysis of Constructed Responses (AACR) project, we designed a question prompting students to describe the possible…
Descriptors: Genetics, Scientific Concepts, Biology, Science Instruction
Bartels, Hauke; Geelan, David; Kulgemeyer, Christoph – International Journal of Science Education, 2019
Measuring teachers' skills to carry out the complex tasks required in teaching is an important means of evaluating the effectiveness of teacher education but remains a challenging activity to conduct in practice. It is necessary to optimise approaches for usability and effectiveness along a continuum from low-effort and low-authenticity measures…
Descriptors: Science Teachers, Teacher Competency Testing, Performance Based Assessment, Physics
Marden, Nicole Y.; Ulman, Leslie G.; Wilson, Fiona S.; Velan, Gary M. – Advances in Physiology Education, 2013
Online formative assessments have become increasingly popular; however, formal evidence supporting their educational benefits is limited. This study investigated the impact of online feedback quizzes on the learning experiences and outcomes of undergraduate students enrolled in an introductory physiology course. Four quiz models were tested, which…
Descriptors: Feedback (Response), Learning Experience, Physiology, Science Instruction
Schultz, Madeleine – Journal of Learning Design, 2011
This paper reports on the development of a tool that generates randomised, non-multiple choice assessment within the BlackBoard Learning Management System interface. An accepted weakness of multiple-choice assessment is that it cannot elicit learning outcomes from upper levels of Biggs' SOLO taxonomy. However, written assessment items require…
Descriptors: Foreign Countries, Feedback (Response), Student Evaluation, Large Group Instruction
Peer reviewedSommerfeld, Jude T. – Chemical Engineering Education, 1981
Discusses rationale for and use of multiple choice examinations in material balances, unit operations, reactor design, and process control courses. Describes computer scoring of student reaction to, and future plans for these examinations. (SK)
Descriptors: Chemistry, College Science, Computer Assisted Testing, Engineering Education
Peer reviewedBoone, E.; De Mey, G. – European Journal of Engineering Education, 1987
Describes the practical workup of a multiple choice examination system in electrical engineering. Discusses some of the pedagogical advantages obtained by statistical handling of the data. Provides some examples of items. (TW)
Descriptors: College Science, Computer Assisted Testing, Computer Uses in Education, Engineering Education
Peer reviewedFisher, K.; And Others – Journal of Research in Science Teaching, 1981
Assessed affects of Computer-Assisted Self-Evaluation (CASE) system of multiple-choice testing. Learning and retention were examined in two equivalent groups of undergraduates. Students (N=34) receiving 24 quizzes with immediate feedback outperformed students (N=30) receiving two midterms with delayed feedback. (Author/DS)
Descriptors: Academic Achievement, College Science, College Students, Computer Assisted Testing

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