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Zur, Amir; Applebaum, Isaac; Nardo, Jocelyn Elizabeth; DeWeese, Dory; Sundrani, Sameer; Salehi, Shima – International Educational Data Mining Society, 2023
Detailed learning objectives foster an effective and equitable learning environment by clarifying what instructors expect students to learn, rather than requiring students to use prior knowledge to infer these expectations. When questions are labeled with relevant learning goals, students understand which skills are tested by those questions.…
Descriptors: Equal Education, Prior Learning, Educational Objectives, Chemistry
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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
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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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Ted M. Clark; Daniel A. Turner; Darian C. Rostam – Journal of Chemical Education, 2022
Administering exams in large enrollment courses is challenging and systems in place for accomplishing this task were upended in the spring of 2020 when a sudden transformation to online instruction and testing occurred due to the COVID-19 pandemic. In the following year, when courses remained online, approaches to improve exam security included…
Descriptors: Chemistry, Science Instruction, Supervision, Computer Assisted Testing
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Goolsby-Cole, Cody; Bass, Sarah M.; Stanwyck, Liz; Leupen, Sarah; Carpenter, Tara S.; Hodges, Linda C. – Journal of College Science Teaching, 2023
During the pandemic, the use of question pools for online testing was recommended to mitigate cheating, exposing multitudes of science, technology, engineering, and mathematics (STEM) students across the globe to this practice. Yet instructors may be unfamiliar with the ways that seemingly small changes between questions in a pool can expose…
Descriptors: Science Instruction, Computer Assisted Testing, Cheating, STEM Education
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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
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Supriyati, Yetti; Iriyadi, Deni; Falani, Ilham – Journal of Technology and Science Education, 2021
This study aims to develop a score equating application for computer-based school exams using parallel test kits with 25% anchor items. The items are arranged according to HOTS (High Order Thinking Skill) category, and use a scientific approach according to the physics lessons characteristics. Therefore, the questions were made using stimulus,…
Descriptors: Physics, Science Instruction, Teaching Methods, Equated Scores
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Johnson, Philip; Tymms, Peter – Journal of Research in Science Teaching, 2011
Previously, a small scale, interview-based, 3-year longitudinal study (ages 11-14) in one school had suggested a learning progression related to the concept of a substance. This article presents the results of a large-scale, cross-sectional study which used Rasch modeling to test the hypothesis of the learning progression. Data were collected from…
Descriptors: Computer Assisted Testing, Chemistry, Measures (Individuals), Foreign Countries
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Aesche, Darryl W.; Parslow, Graham R. – Biochemical Education, 1988
Discusses the use of a bank of about 9,000 test items in a computer-assisted instructional program at Adelaide University (South Australia). Describes the program and outlines the steps in producing an instructional program. (TW)
Descriptors: Biochemistry, College Science, Computer Assisted Instruction, Computer Assisted Testing
French, Ann; Godwin, Janet – 1996
The development of innovative test item types that use multimedia technology to improve item authenticity and interaction and allow for objective scoring through partial-credit scoring methodologies was studied. Science test items were developed for community college developmental students using "Authorware 3.0," an instructional compact disc. The…
Descriptors: Alternative Assessment, College Students, Community Colleges, Computer Assisted Testing