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Shahid Zaman; Muhammad Usamah Majeed; Wakeel Ahmed; Maliha Tehseen Saleem – Measurement: Interdisciplinary Research and Perspectives, 2025
This article examines newly introduced eccentricity topological descriptors that are used to analyze the structures of polycyclic aromatic hydrocarbons. The purpose is to identify structural components that have a significant impact on physicochemical properties. Regression analysis applies to find potential correlation between different drugs…
Descriptors: Mathematics, Graphs, Chemistry, Molecular Structure
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Nigar Altindis; Kathleen A. Bowe; Brock Couch; Christopher F. Bauer; Melissa L. Aikens – International Journal of STEM Education, 2024
This study investigates undergraduate STEM students' interpretation of quantities and quantitative relationships on graphical representations in biology (population growth) and chemistry (titration) contexts. Interviews (n = 15) were conducted to explore the interplay between students' covariational reasoning skills and their use of disciplinary…
Descriptors: Graphs, Undergraduate Students, STEM Education, Biology
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Mikeas Silva de Lima; Lilian Pozzer; Salete Linhares Queiroz – Journal of Research in Science Teaching, 2025
In the context of scholarly and scientific discourse, students often have to deal with graphic-visual modes of communication, which requires their ability to comprehend and utilize inscriptions, that is, scientific visual representations, to convey information effectively--what we call graphical literacy. Despite its pivotal role for training…
Descriptors: Graphs, Knowledge Level, Chemistry, Science Instruction
Stephanie A. Berg – ProQuest LLC, 2024
All chemistry students must develop competency in analyzing and making sense of data. However, there are many difficulties that chemistry students may experience while analyzing data. Many students may not use relevant prior knowledge to aid in making sense of data, or they may not form conclusions using all the data provided. Additionally, prior…
Descriptors: Chemistry, Data Analysis, Data Interpretation, Undergraduate Students
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Jane Watson; Noleine Fitzallen; Ben Kelly – Mathematics Education Research Journal, 2024
Incorporating an evidence-based approach in STEM education using data collection and analysis strategies when learning about science concepts enhances primary students' discipline knowledge and cognitive development. This paper reports on learning activities that use the nature of viscosity and the power of informal statistical inference to build…
Descriptors: Elementary School Students, Grade 5, STEM Education, Statistics
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Natalia Spitha; Yujian Zhang; Samuel Pazicni; Sarah A. Fullington; Carla Morais; Amanda Rae Buchberger; Pamela S. Doolittle – Chemistry Education Research and Practice, 2024
The Beer-Lambert law is a fundamental relationship in chemistry that helps connect macroscopic experimental observations (i.e., the amount of light exiting a solution sample) to a symbolic model composed of system-level parameters (e.g., concentration values). Despite the wide use of the Beer-Lambert law in the undergraduate chemistry curriculum…
Descriptors: Chemistry, Science Instruction, Undergraduate Students, Scientific Principles