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Online Quiz for STEM Assumed Knowledge Self-Assessment by First Year Science Students: A Pilot Study
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)
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
Binglin Chen – ProQuest LLC, 2022
Assessment is a key component of education. Routine grading of students' work, however, is time consuming. Automating the grading process allows instructors to spend more of their time helping their students learn and engaging their students with more open-ended, creative activities. One way to automate grading is through computer-based…
Descriptors: College Students, STEM Education, Student Evaluation, Grading
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
Marchisio, Marina; Roman, Fabio; Sacchet, Matteo – International Association for Development of the Information Society, 2021
The role of mathematical modelling pertains several disciplines, both STEM and non-STEM, and various fields: education, academy, work, everyday and social life. Despite its importance, it is not uncommon to see university students facing difficulties with the use of Mathematics to create models, even when mathematical entities that play a role in…
Descriptors: Mathematical Models, College Students, Mathematics Tests, Error Patterns
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
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
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
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
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
Josh Freeman – Higher Education Policy Institute, 2025
Building on our 2024 AI Survey, we surveyed 1,041 full-time undergraduate students through Savanta about their use of generative artificial intelligence (GenAI) tools. In 2025, we find that the student use of AI has surged in the last year, with almost all students (92%) now using AI in some form, up from 66% in 2024, and some 88% having used…
Descriptors: Student Surveys, Student Attitudes, Cheating, Artificial Intelligence
Westrick, Paul A.; Marini, Jessica P.; Young, Linda; Ng, Helen; Shaw, Emily J. – College Board, 2023
This pilot study examines digital SAT® score relationships with first-year college performance. Results show that digital SAT scores predict college performance as well as paper and pencil SAT scores, and that digital SAT scores meaningfully improve our understanding of a student's readiness for college above high school grade point average…
Descriptors: Computer Assisted Testing, Scores, Career Readiness, College Readiness
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
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
ElSayary, Areej – Journal of Turkish Science Education, 2021
This study investigates teachers' perceptions and practices of designing and teaching transdisciplinary STEAM curriculum using online authentic assessment. Aligning the transdisciplinary STEAM curriculum to authentic assessment is a conceptual framework that guided this study to focus on the three learning domains (cognitive, psychomotor, and…
Descriptors: Curriculum Design, STEM Education, Art Education, Teacher Attitudes
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