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Raoyu Qiu; Zequn Lin; Zican Yang; Liang Gao – Journal of Chemical Education, 2024
Machine learning (ML) is extensively applied in chemistry, particularly in vibrational spectroscopy. However, few teaching examples effectively demonstrate the capabilities of ML in classifying polymeric materials, exhibiting subtle spectral differences that elude visual discrimination. This study presents a teaching example specifically tailored…
Descriptors: Artificial Intelligence, Classification, Undergraduate Study, Chemistry
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Y. Yudhistian; Tabitha Sri Hartati Wulandari – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2024
Field-Based Practicum (FBP) about Pterydophyta diversity material in Low plant botany learning is very important, even though the facts in the field show that FBP is still minimally carried out. This research aims to utilize the potential diversity of Pterydophyta in the Tuban-Lamongan Pantura area as a support for FBP about low plant botany…
Descriptors: Plants (Botany), Science Instruction, Genetics, Classification
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Hlologelo Climant Khoza; Bob Maseko – Alberta Journal of Educational Research, 2024
Research in science education has established the significance of collaborative concept mapping as a powerful strategy in fostering conceptual learning. During such collaboration, students talk about concept map features (i.e., concepts to include, linking words, and cross-links) in constructing a joint map. The quality of the concept map produced…
Descriptors: Discourse Analysis, Concept Mapping, Audio Equipment, Biology
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Shin-Yu Kim; Inseong Jeon; Seong-Joo Kang – Journal of Chemical Education, 2024
Artificial intelligence (AI) and data science (DS) are receiving a lot of attention in various fields. In the educational field, the need for education utilizing AI and DS is also being emerged. In this context, we have created an AI/DS integrating program that generates a compound classification/regression model using characteristics of compounds…
Descriptors: Chemistry, Science Instruction, Laboratory Experiments, Artificial Intelligence
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Richard Brock; Wonyong Park – Science & Education, 2024
Whilst teaching about the nature of science (NOS) is a significant goal of science education, there remains debate about specifying the NOS and appropriate pedagogies and approaches to researching the NOS. A neglected, but conceptually and practically significant, problem is the proliferation of NOS-related learning goals such as NOS beliefs,…
Descriptors: Scientific Attitudes, Beliefs, Scientific Literacy, Knowledge Level
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Henna Iqbal; Kenneth Onyedibe – Journal of Microbiology & Biology Education, 2024
Bacteria form an intense portion of reading and learning for students enrolled in microbiology education. As a part of the foundational course outline of bacteriology, bacterial classification is a significant topic of discussion. The purpose of our study was to analyze whether bacterial classification can be taught with a phylogenetic tree…
Descriptors: Microbiology, Science Instruction, Classification, Medical Education
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Adúriz-Bravo, Agustín; Sans Pinillos, Alger – Science & Education, 2023
The central argument of this article is that abduction as a "mode of inference" is a key element in the nature of scientists' science and should consequently be introduced in school science. Abduction generally understood as generation and selection of hypotheses permits to articulate the classical scientific contexts of discovery and…
Descriptors: Logical Thinking, Science Instruction, Scientific Principles, Philosophy
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Alanah Grant St. James; Luke Hand; Thomas Mills; Liwen Song; Annabel S. J. Brunt; Patrick E. Bergstrom Mann; Andrew F. Worrall; Malcolm I. Stewart; Claire Vallance – Journal of Chemical Education, 2023
Applications of machine learning in chemistry are many and varied, from prediction of structure-property relationships, to modeling of potential energy surfaces for large scale atomistic simulations. We describe a generalized approach for the application of machine learning to the classification of spectra which can be used as the basis for a wide…
Descriptors: Artificial Intelligence, Chemistry, Science Instruction, Classification
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Guisasola, Jenaro; Campos, Esmeralda; Zuza, Kristina; Zavala, Genaro – Physical Review Physics Education Research, 2023
Inquiring about students' learning and their difficulties understanding the concepts and models of physics is a familiar challenge in physics education research. Researchers have developed various methodologies, such as phenomenography, to address it. Phenomenography is an empirical approach to determining how people experience and understand…
Descriptors: Phenomenology, Learning Processes, Teaching Methods, Physics
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Pedro J. Sánchez Gómez; Mauricio Suárez – Chemistry Education Research and Practice, 2025
We present an approach to the question of the educational relations between chemistry and physics based on the one hand, on an inferentialist account of scientific representation (Suárez M., (2024), "Inference and Representation. A Study in Modelling Science," Chicago and London: The University of Chicago Press). On the other, we have…
Descriptors: College Faculty, Undergraduate Students, Science Instruction, Chemistry
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Brian P. Woods – Journal of Chemical Education, 2024
In this in-class activity, organic chemistry undergraduates try to place an assortment of molecules in chronological order from oldest to most recently synthesized. In the students' first attempt, they use their knowledge of reactions and synthesis to analyze the organic compounds for their structural complexity. Before a second attempt, the names…
Descriptors: Organic Chemistry, Entrepreneurship, Learning Activities, Undergraduate Students
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Simin Cheng; Zhuoning Xie; Qingyuan Hu; Yao Qian; Xiaoxiao Ma – Journal of Chemical Education, 2023
This study highlights the importance of incorporating modern mass spectrometry techniques into undergraduate education. By focusing on the structure-characterizing capability of MS, students are able to gain hands-on experience with cutting-edge techniques and better understand how MS can be used to solve real-world problems. The three-step lipid…
Descriptors: Undergraduate Students, Scientific Concepts, Science Instruction, College Science
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Brack, Virgil, Jr.; Boyles, Justin G.; Cable, Ted T. – American Biology Teacher, 2022
As researchers, teachers, and practitioners we often encounter young professionals and lay adults who do not understand basics of mammalian body temperature regulation. Often their single solid piece of knowledge is that some vertebrates (mammals and birds) are warm-blooded and some (fish, amphibians, and reptile) are cold-blooded, which is…
Descriptors: Animals, Biology, Science Instruction, Misconceptions
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Watson, Gregory S.; Green, David W.; Watson, Jolanta A. – Journal of Chemical Education, 2021
In some universities, there is a significant population of first year chemistry students who enter the system with very little prior knowledge of the subject. This, coupled with preconceived ideas of subject difficulty, necessitates that the introduction of key concepts is carried out in a nonthreatening, engaging, simplistic, and efficacious…
Descriptors: Chemistry, Scientific Concepts, College Freshmen, Instructional Innovation
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Shia J. Badajos; Trisha Kate E. Obsioma; Tharah Tibette W. Tungal; Angelo Mark P. Walag – Journal of Chemical Education, 2023
One approach that has been gaining significant attention among chemistry education scholars and practitioners is the employment of game-based learning to teach least-learned and difficult topics at various educational levels. One reason for this is that it promotes active, constructive learning and makes learning science a fun experience through…
Descriptors: Science Instruction, Chemistry, Game Based Learning, Educational Games
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