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ScottP. Buzzolani; Matthew J. Mistretta; Aleksandra E. Bugajczyk; Arun J. Sam; Samantha R. Elezi; Daniel L. Silverio – Journal of Chemical Education, 2025
The ability to extract structural information from a drawing of a molecule is key to being successful in organic chemistry. One source of difficulty for novices in interpreting structures is that hydrogens bound to carbon are represented implicitly in the often-used line-angle structures. Other representations that explicitly show hydrogens, such…
Descriptors: Undergraduate Students, Science Instruction, Chemistry, Organic Chemistry
Jordan M. Renna; Katelyn B. Sondereker; Christopher L. Cors; Sara N. Chaszeyka; Kristin N. Keenan; Michael R. Corigliano; Lindsey A. Milgrom; Jessica R. Onyak; Edward J. Hamad; Maureen E. Stabio – Anatomical Sciences Education, 2024
The reconstruction of two-dimensional (2D) slices to three-dimensional (3D) digital anatomical models requires technical skills and software that are becoming increasingly important to the modern anatomist, but these skills are rarely taught in undergraduate science classrooms. Furthermore, learning opportunities that allow students to…
Descriptors: Anatomy, Undergraduate Students, Science Instruction, Models
Philip P. Lampkin; Angie E. Xu; Brian J. Esselman; Cara E. Schwarz; Sebastian D. Thompson; Samuel H. Gellman; Nicholas J. Hill – Journal of Chemical Education, 2024
Synthesis of (Z)-alkenes is challenging because the (E) stereoisomers are usually more stable. Energy transfer photocatalysis has emerged as an efficient strategy for (E) [right arrow] (Z) alkene isomerization. We report the development of an advanced undergraduate laboratory experiment that introduces students to contemporary organic…
Descriptors: Undergraduate Students, Chemistry, Science Instruction, Synthesis
Kennedy Kam Ho Chan; David Siu Pan Lau; Jan van Driel – Science Education, 2025
Cultivating in preservice science teachers (PSTs) the competence required to teach scientific models and modeling is a valued outcome of teacher preparation programs. However, science teacher educators face inherent tensions when designing and implementing teacher preparation experiences to achieve this outcome. In this systematic review, we first…
Descriptors: Preservice Teachers, Teacher Education, Teacher Educators, Science Teachers
Shi-Huan Guo; Yixuan Zhu; Junlong Zhao – Journal of Chemical Education, 2025
Teaching the three-dimensional structure of saccharides has consistently been a challenging aspect of organic chemistry courses, impeding students' ability to grasp more advanced topics in biochemistry and food chemistry. In this article, we designed and developed a novel d-glucopyranose model using 3D printing technology for the first time. This…
Descriptors: Undergraduate Students, Chemistry, Science Instruction, Organic Chemistry
Angela Bassoli – Journal of Chemical Education, 2024
Organic molecules are invisible objects, but they can be visualized and manipulated by using molecular models. The object-based learning (OBL) approach, which is an educational tool developed for museums and collection items, is tailored and applied to a first-year bachelor course of organic chemistry. At the beginning of the course, each student…
Descriptors: Organic Chemistry, Science Instruction, Undergraduate Study, College Science
Wenyuan Yang; Sihang Chen; Cheng Liu – American Biology Teacher, 2024
Modeling is a core practice in science and is a meaningful way to learn the subject. This article introduces a modeling-based approach that highlights the idea that modeling is an iterative process and integrates the fundamental parts of scientists' work and key suggestions for teaching through modeling. The lesson "The Structure and Function…
Descriptors: Models, Middle School Students, Biology, Science Instruction
Andreas Lachner; Leonie Sibley; Salome Wagner – Educational Psychology Review, 2024
In educational research, there is the general trade-off that empirical evidence should be generalizable to be applicable across contexts; at the same time, empirical evidence should be as specific as possible to be localizable in subject-specific educational interventions to successfully transfer the empirical evidence to educational practice.…
Descriptors: Evidence Based Practice, Instructional Effectiveness, Science Instruction, Instructional Design
María Esther Téllez-Acosta; Andres Acher; Scott P. McDonald – Journal of Science Teacher Education, 2024
Learning to plan modeling-based investigations (MBIs) presents significant challenges for pre-service elementary teachers. Although they understand disciplinary core ideas and modeling practices, they address both as competing learning goals and, as novices, they have not experienced how to structure MBIs for their future students. In the context…
Descriptors: Preservice Teachers, Elementary School Teachers, Models, Investigations
Yidnekachew Awraris Kebede; Firew Kebede Zema; Girma Moti Geletu; Samuel Assefa Zinabu – SAGE Open, 2025
The jigsaw model is a dynamic cooperative learning approach where students become experts on different segments of the material and teach their peers, thereby enhancing engagement accountability, team work, and ultimately improving academic achievement. This study investigated the effectiveness of a cooperative learning strategy on secondary…
Descriptors: Foreign Countries, Cooperative Learning, Science Achievement, Biology
Sofía Judith Garófalo; Lydia Galagovsky; Manuel Alonso – Biochemistry and Molecular Biology Education, 2024
In this work extensive misconceptions of university students'--from nutrition area--about the metabolism of carbohydrates (CHM) in the human organism have been documented. The results lead to consider their difficulties concerning the learning of a complex set of imbricated biochemical models involved. Pursuant to these considerations, three…
Descriptors: Metabolism, Human Body, Biochemistry, STEM Education
Beth A. Covitt; Kristin L. Gunckel; Alan Berkowitz; William W. Woessner; John Moore – Journal of Science Education and Technology, 2024
Computational models are employed to study and respond to pressing environmental issues such as groundwater contamination. This use of computational models, which often involves algorithms and uncertainty that are hidden to the public, has implications for environmental science literacy. This study applies a design-based research approach to…
Descriptors: Learning Experience, Computation, Thinking Skills, Models
Silvia Wen-Yu Lee – Research in Science & Technological Education, 2024
Research purposes and design: This study aimed to compare the effects of different explicit approaches used in modeling-based instruction on students' understanding of scientific models and modeling (USMM). In Study 1, a self-study approach was compared to a preliminary explicit approach. In Study 2, preliminary explicit approach and embedded…
Descriptors: Teaching Methods, Science Instruction, Models, Epistemology
Jonathan Robert Bowers – ProQuest LLC, 2024
To make sense of our interconnected and algorithm driven world, students increasingly need proficiency with computational thinking (CT), systems thinking (ST), and computational modeling. One aspect of computational modeling that can support students with CT, ST, and modeling is testing and debugging. Testing and debugging enables students to…
Descriptors: Troubleshooting, Thinking Skills, Computation, Computer Science Education
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