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Johnston, Peter R.; Watters, Dianne J.; Brown, Christopher L.; Williams, Michael L.; Loughlin, Wendy A. – International Journal of Mathematical Education in Science and Technology, 2023
This study aimed to adapt the Get Set2 quiz and design a diagnostic quiz for implementation under assumed knowledge admissions into university science degrees. The GetReady Quiz that was designed, comprised five modules benchmarked against the high school curriculum in Mathematics, Chemistry and Biology. The significance of this study stems from…
Descriptors: Computer Assisted Testing, STEM Education, Knowledge Level, Self Evaluation (Individuals)
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Johnson, Stuart; Maclean, John; Vozzo, Raymond F.; Koerber, Adrian; Humphries, Melissa A. – International Journal of Mathematical Education in Science and Technology, 2022
STEM educators have taken on a new and radically different reality: that students will have access to online tools and online knowledge as they undergo assessment. Students may look up facts that are easily available online, employ online tools and also employ paid services to cheat. The first wave of novel assessment strategies devised in…
Descriptors: Computer Assisted Testing, Evaluation Methods, Student Attitudes, STEM Education
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Castleberry, Colin; Hanner, Ainsley; Burks, Gabriel; Amos, Jennifer – European Journal of Engineering Education, 2023
As classroom diversity increases across educational domains, additional stress is placed on instructors to provide effective and personalised learning experiences. Formative assessments can inform instructors of learning differences between student cohorts and individual students, allowing adaptation of learning experiences to individual student…
Descriptors: Teacher Attitudes, Formative Evaluation, Computer Assisted Testing, Evaluation Methods
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Knight, G. L.; Drysdale, T. D. – Higher Education Pedagogies, 2020
Graduates are entering a sociotechnological world, with teaching and assessment needing to reflect that, by shifting from a 'recall-on-paper' to 'do-it-for-real'. With increasing student numbers, it is not feasible to have staff-student ratios and round-the-clock availability required to provide instant feedback and ever-more interactive teaching…
Descriptors: Higher Education, Educational Trends, Skill Development, Job Skills
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Prakasha, G. S.; Hemalathaa, K. Y.; Tamizh, Ponni; Bhavna, Bhola; Kenneth, Anthony – Problems of Education in the 21st Century, 2021
Outbreak of COVID-19, online examination, and e-proctoring have caused more exam anxiety and affected exam performance among students' studying in International Baccalaureate (IB) Diploma Programme (DP). Therefore, the present research aimed to find effect of online test anxiety on academic performance of IBDP students in the subjects related to…
Descriptors: Computer Assisted Testing, Test Anxiety, Scores, Advanced Placement Programs
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Nonkanyiso Pamella Shabalala – Research in Social Sciences and Technology, 2024
The integration of Artificial Intelligence (AI) into Open Distance eLearning (ODeL) represents a significant evolution in STEM education, offering transformative benefits in teaching, learning and administrative processes. This conceptual paper explores how AI-driven platforms are revolutionising ODeL by providing personalised learning…
Descriptors: STEM Education, Distance Education, Artificial Intelligence, Educational Technology
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Novick, Peter A.; Lee, Jacqueline; Wei, Sujun; Mundorff, Emily C.; Santangelo, Jessica R.; Sonbuchner, Timothy M. – Journal of Microbiology & Biology Education, 2022
The article documents students' experiences with the shift online at the onset of the COVID-19 pandemic and provides informed recommendations to STEM instructors regarding academic integrity and student stress. Over 500 students were surveyed on these topics, including an open-ended question. Students experienced more stress and perceived a…
Descriptors: Online Courses, COVID-19, Pandemics, STEM Education
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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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Mshayisa, Vusi Vincent; Basitere, Moses – Journal of Food Science Education, 2021
In STEM (science, technology, engineering, and mathematics) courses, undergraduate laboratory classes are vital for students to develop competencies such as critical observation, collaboration, critical thinking, technical, and problem-solving skills. Thus, for students to successfully acquire these competencies, preparation for laboratory classes…
Descriptors: Flipped Classroom, Teaching Methods, Student Attitudes, STEM Education
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Jeong, Jin Su; González-Gómez, David; Yllana Prieto, Félix – Education Sciences, 2020
Sustainable science, technology, engineering, and mathematics (STEM) education involves lifelong education in various domains. Active learning strategies are receiving increased attention as an important tool, and particularly online-based formative assessment interfaces, although challenges to their use remain in sustainable and flipped STEM…
Descriptors: STEM Education, Sustainability, Active Learning, Preservice Teachers
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Nathalie Auger; Jérémi Sauvage; Emmanuelle Le Pichon-Vorstman; Carole Fleuret; Leanne Adegbonmire; Laurine Dalle – Language, Culture and Curriculum, 2024
For many years, French and Canadian schools have welcomed students from around the world. This article presents the Binogi/ESCAPE project, which supports the integration of a multilingual digital resource in the classroom that presents STEM content through a multilingual lens with associated animated videos and quizzes. The study aims to encourage…
Descriptors: Technology Uses in Education, Teaching Methods, Teacher Attitudes, Cross Cultural Studies
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Moon, Jewoong; Ke, Fengfeng; Sokolikj, Zlatko – British Journal of Educational Technology, 2020
Tracking students' learning states to provide tailored learner support is a critical element of an adaptive learning system. This study explores how an automatic assessment is capable of tracking learners' cognitive and emotional states during virtual reality (VR)-based representational-flexibility training. This VR-based training program aims to…
Descriptors: Adolescents, Autism, Pervasive Developmental Disorders, Learning Processes
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Calvo, Miquel; Carnicer, Artur; Cuadros, Jordi; Martori, Francesc; Miñarro, Antonio; Serrano, Vanessa – EURASIA Journal of Mathematics, Science and Technology Education, 2019
Open-ended tasks are common in Science, Technology, Engineering and Mathematics (STEM) education. However, as far as we know, no tools have been developed to assist in the assessment of the solution process of open-ended questions. In this paper, we propose the use of analysis of traces as a tool to address this need. To illustrate this approach,…
Descriptors: Computer Assisted Testing, STEM Education, Programming Languages, Undergraduate Students
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Küchemann, Stefan; Malone, Sarah; Edelsbrunner, Peter; Lichtenberger, Andreas; Stern, Elsbeth; Schumacher, Ralph; Brünken, Roland; Vaterlaus, Andreas; Kuhn, Jochen – Physical Review Physics Education Research, 2021
Representational competence is essential for the acquisition of conceptual understanding in physics. It enables the interpretation of diagrams, graphs, and mathematical equations, and relating these to one another as well as to observations and experimental outcomes. In this study, we present the initial validation of a newly developed…
Descriptors: Physics, Science Instruction, Teaching Methods, Concept Formation
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Williamson, Kenneth C.; Williamson, Vickie M.; Hinze, Scott R. – Journal of Science Education and Technology, 2017
Standardized, well-established paper-and-pencil tests, which measure spatial abilities or which measure reasoning abilities, have long been found to be predictive of success in the STEM (science, technology, engineering, and mathematics) fields. Instructors can use these tests for prediction of success and to inform instruction. A comparative…
Descriptors: Spatial Ability, STEM Education, Prediction, Visual Perception
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