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Byran J. Smucker; Nathaniel T. Stevens; Jacqueline Asscher; Peter Goos – Journal of Statistics and Data Science Education, 2023
The design and analysis of experiments (DOE) has historically been an important part of an education in statistics, and with the increasing complexity of modern production processes and the advent of large-scale online experiments, it continues to be highly relevant. In this article, we provide an extensive review of the literature on DOE…
Descriptors: Statistics Education, Data Science, Experiments, Teaching Methods
Daniel A. Mak; Sebastian Dunn; David Coombes; Carlo R. Carere; Jane R. Allison; Volker Nock; André O. Hudson; Renwick C. J. Dobson – Biochemistry and Molecular Biology Education, 2024
Enzymes are nature's catalysts, mediating chemical processes in living systems. The study of enzyme function and mechanism includes defining the maximum catalytic rate and affinity for substrate/s (among other factors), referred to as enzyme kinetics. Enzyme kinetics is a staple of biochemistry curricula and other disciplines, from molecular and…
Descriptors: Biochemistry, Kinetics, Science Instruction, Teaching Methods
Hardy, Lisa; Dixon, Colin; Van Doren, Seth; Hsi, Sherry – Science Teacher, 2022
In science classrooms, students usually see and work with data that's intended to tell them right away about the natural world. Students then often treat the data we provide to them as factual, rather than as a source of evidence (Duschl 2008; Sandoval and Millwood 2005; Berland and Reiser 2009; McNeill and Berland 2017; Hancock, Kaput, and…
Descriptors: Data Collection, Data Analysis, Science Experiments, High School Students
Aledo, Juan C. – Biochemistry and Molecular Biology Education, 2021
We are living in the Big Data era, and yet we may have serious troubles when dealing with a handful of kinetic data if we are not properly instructed. The aim of this paper, related to enzyme kinetics, is to illustrate how to determine the K[subscript m] and V[subscript max] of a michaelian enzyme avoiding the pitfalls in which we often fall. To…
Descriptors: Biochemistry, Science Instruction, Teaching Methods, Reliability
Yan Wang; Peng He; Jinling Geng; Zhiwei Zhu – Journal of Chemical Education, 2025
This paper presents an innovative teaching approach that integrates photoelectric technology with analytical chemistry instruction through inquiry-based learning (IBL), using cerium as a selected analyte. With the advancement of science and technology, a strong foundation of basic knowledge and methodologies is crucial in analytical chemistry…
Descriptors: Instructional Innovation, Chemistry, Science Instruction, Active Learning
Cardona Zapata, Mónica Eliana; López Ríos, Sonia – Technology, Knowledge and Learning, 2022
Experimental activity in the physics teaching can be considered as a space in which teachers create contexts for students to approach the way scientific knowledge is constructed. In this sense, the strategies for the integration of Information and Communication Technologies (ICT) in the context of science education, has a wide potential to guide…
Descriptors: Physics, Science Instruction, Teaching Methods, Visual Aids
Exploring Core Ideas of Procedural Understanding in Scientific Inquiry Using Educational Data Mining
Arnold, Julia C.; Mühling, Andreas; Kremer, Kerstin – Research in Science & Technological Education, 2023
Background: Scientific thinking is an essential learning goal of science education and it can be fostered by inquiry learning. One important prerequisite for scientific thinking is procedural understanding. Procedural understanding is the knowledge about specific steps in scientific inquiry (e.g. formulating hypotheses, measuring dependent and…
Descriptors: Science Process Skills, Inquiry, Active Learning, Science Education
Del Toro, Israel; Dickson, Kimberly; Hakes, Alyssa S.; Newman, Shannon L. – American Biology Teacher, 2022
Increasingly, students training in the biological sciences depend on a proper grounding in biological statistics, data science and experimental design. As biological datasets increase in size and complexity, transparent data management and analytical methods are essential skills for undergraduate biologists. We propose that using the software R…
Descriptors: Undergraduate Students, Biology, Statistics Education, Data Analysis
Victor Ong; Stanley Yamashiro – Biomedical Engineering Education, 2022
Teaching labs at the undergraduate level poses unique challenges to a school system forced online by COVID-19. We adapted physiology laboratories typically taught in-person to an online-only format, allowing students to measure personal health data alone. Students used available technology and low-cost devices for measuring respiratory and…
Descriptors: COVID-19, Physiology, Human Body, Laboratory Experiments
Hammett, Amy; Dorsey, Chad – Science Teacher, 2020
To learn with data, students need "data" to explore. This can be deceptive--data-rich experiences typically involve much more than a straightforward science lab. Solving real problems with data means identifying authentic questions that are meaningful to students and provide a foundation for deep inquiry. Such situations often lend…
Descriptors: Data Analysis, Problem Solving, Student Projects, Active Learning
Liang, Dong; Chen, Guanbo; Tian, Hailin; Lu, Qi – Advances in Engineering Education, 2020
This article describes how the Sichuan University - Pittsburgh Institute has embraced new methods and new technologies to ensure high-quality laboratory teaching during the COVID-19 pandemic. Taking Mechanical Measurements 1 course as an example, this paper introduces two lab projects that were successfully transferred into online experiments…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, COVID-19
Janssen, Paul; Janssens, Ewald – Physics Teacher, 2015
To familiarize first-year students with the important ingredients of a physics experiment, we offer them a project close to their daily life: measuring the effect of air resistance on a bicycle. Experiments are done with a bicycle freewheeling on a downhill slope. The data are compared with equations of motions corresponding to different models…
Descriptors: Physics, Science Experiments, College Freshmen, Motion
Shelley, Mack, Ed.; Admiraal, Wilfried, Ed.; Akcay, Hakan, Ed. – Online Submission, 2021
"Proceedings of International Conference on Education in Mathematics, Science and Technology" includes full papers presented at the International Conference on Education in Mathematics, Science and Technology (ICEMST) which took place on April 1-4, 2021 in Antalya, Turkey. The aim of the conference is to offer opportunities to share your…
Descriptors: Chemistry, Science Experiments, Climate, Problem Solving
Bonjour, Jessica L.; Pitzer, Joy M.; Frost, John A. – Journal of Chemical Education, 2015
Mole to gram conversions, density, and percent composition are fundamental concepts in first year chemistry at the high school or undergraduate level; however, students often find it difficult to engage with these concepts. We present a simple laboratory experiment utilizing portable nuclear magnetic resonance spectroscopy (NMR) to determine the…
Descriptors: Science Instruction, High School Students, Secondary School Science, Chemistry
Phares, Alain J.; Durnin, John H. – Technology, Instruction, Cognition and Learning, 2016
Dimensional Analysis (DA) is shown to play a pivotal role in the teaching of Science, Technology, Engineering and Mathematics (STEM). This article summarizes the basic rules and corollaries of DA and addresses (1) the importance of using DA with mathematical functions; (2) how to use DA in a science/engineering laboratory based discovery approach;…
Descriptors: STEM Education, Laboratories, Discovery Learning, Teaching Methods

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