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Direct linkAlanah 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
Qiang Fu; Li Liu; Guofu Wang; Jing Yu; Shiyuan Fu – Journal of Chemical Education, 2023
Commonly used methods to simulate the oxidation-reduction (redox) titration curves include the three-step method and the rigorous method. The simple three-step method simulates the redox titration curve with the assumption that the reaction is complete, which is widely used in undergraduate quantitative analysis courses. For the rigorous…
Descriptors: Chemistry, Simulation, College Science, Undergraduate Students
Nesra Yannier; Scott E. Hudson; Henry Chang; Kenneth R. Koedinger – International Journal of Artificial Intelligence in Education, 2024
Adaptivity in advanced learning technologies offer the possibility to adapt to different student backgrounds, which is difficult to do in a traditional classroom setting. However, there are mixed results on the effectiveness of adaptivity based on different implementations and contexts. In this paper, we introduce AI adaptivity in the context of a…
Descriptors: Artificial Intelligence, Computer Software, Feedback (Response), Outcomes of Education
Thomas Kraska – Journal of Chemical Education, 2022
An educational lattice model is proposed for the investigation of the influence of the density and indirectly of the pressure on the chemical equilibrium of the ideal gas phase reaction A [equilibrium] 2B. The model can be introduced by a board game simulating a stochastic process. This game can also be used to set up a corresponding computer…
Descriptors: Secondary School Students, Secondary School Science, Chemistry, Science Instruction
Kimberly Vo; Mahbub Sarkar; Paul J. White; Elizabeth Yuriev – Chemistry Education Research and Practice, 2024
Despite problem solving being a core skill in chemistry, students often struggle to solve chemistry problems. This difficulty may arise from students trying to solve problems through memorising algorithms. Goldilocks Help serves as a problem-solving scaffold that supports students through structured problem solving and its elements, such as…
Descriptors: Metacognition, Scaffolding (Teaching Technique), Chemistry, Science Instruction
Download full textHermann Härtel – European Journal of Physics Education, 2021
Ohm's law and Kirchhoff's rules refer to stationary states and do not provide any indications of the always-present transition processes that connect these states and cause their respective setting. Through the use of suitable simulation programs these transition processes are accessible to classroom activities and allow a deeper and more coherent…
Descriptors: Physics, Science Instruction, Scientific Concepts, Teaching Methods
Pei, Bo; Xing, Wanli; Zhu, Gaoxia; Antonyan, Kristine; Xie, Charles – Education and Information Technologies, 2023
Infrared (IR) technologies have been universally acknowledged as a valuable pedagogical tool for exploring novel and abstract scientific subjects in science education. This study explores the roles of IR images played in middle school students' Evidence-based Reasoning (EBR) process in support of the understanding of the heat radiation process.…
Descriptors: Technology Integration, Spectroscopy, Science Education, Science Instruction
Stott, Angela Elisabeth – Chemistry Education Research and Practice, 2023
The unit factor method, a generic strategy for solving any proportion-related problem, is known to be effective at reducing cognitive load through unit-cancellation providing step-by-step guidance. However, concerns have been raised that it can be applied mindlessly. This primarily quantitative prepost study investigates the efficacy of…
Descriptors: Chemistry, Science Instruction, Instructional Effectiveness, Teaching Methods
Zhongzhou Chen; Tom Zhang; Michelle Taub – Journal of Learning Analytics, 2024
The current study measures the extent to which students' self-regulated learning tactics and learning outcomes change as the result of a deliberate, data-driven improvement in the learning design of mastery-based online learning modules. In the original design, students were required to attempt the assessment once before being allowed to access…
Descriptors: Learning Analytics, Algorithms, Instructional Materials, Course Content
Erin C. Yang; Robby Divine; Christine S. Kang; Sidney Chan; Elijah Arenas; Zoe Subol; Peter Tinker; Hayden Manninen; Alicia Feichtenbiner; Talal Mustafa; Julia Hallowell; Isiac Orr; Hugh Haddox; Brian Koepnick; Jacob O'Connor; Ian C. Haydon; Karla-Luise Herpoldt; Kandise Van Wormer; Celine Abell; David Baker; Alena Khmelinskaia; Neil P. King – Journal of Chemical Education, 2022
Undergraduate research experiences can improve student success in graduate education and STEM careers. During the COVID-19 pandemic, undergraduate researchers at our institution and many others lost their work-study research positions due to interruption of in-person research activities. This imposed a financial burden on the students and…
Descriptors: Undergraduate Students, Teaching Methods, COVID-19, Pandemics
Peer reviewedPhelps, Amy J. – Journal of Chemical Education, 1996
Evaluates an instructional method in general chemistry that attempts to bridge the gap between algorithmic problem-solving abilities and conceptual understanding of chemistry students and emphasizes conceptual problem solving in the initial phase of a concept. Concludes that using a conceptual focus for the chemistry courses had many positive…
Descriptors: Algorithms, Chemistry, Educational Strategies, Higher Education
Peer reviewedRoy, S. C. Dutta – Journal of Chemical Education, 1997
States a convenient algorithm for temperature scale conversions and shows how performing the successive steps improves the accuracy of the results. (DDR)
Descriptors: Algorithms, Chemistry, Educational Strategies, Higher Education
Peer reviewedThomson, Norman; Stewart, James – Journal of Biological Education, 1985
Explains an algorithm which details procedures for solving a broad class of genetics problems common to pre-college biology. Several flow charts (developed from the algorithm) are given with sample questions and suggestions for student use. Conclusions are based on the authors' research (which includes student interviews and textbook analyses).…
Descriptors: Algorithms, Biology, Genetics, Learning Strategies
Peer reviewedKrieger, Carla R. – Journal of Chemical Education, 1997
Describes the use of Moe's Mall, a locational device designed to be used by learners, as a simple algorithm for solving mole-based exercises efficiently and accurately using dimensional analysis. (DDR)
Descriptors: Algorithms, Chemistry, Cognitive Structures, Educational Practices
Peer reviewedCoulter, David – School Science and Mathematics, 1981
A study to investigate one of the mechanisms teachers may use to convince themselves incorrectly that students have learned science concepts requiring formal operational ability is presented. The investigation indicates instructors may actually teach and test for memorization of algorithms rather than understanding. (MP)
Descriptors: Algorithms, Chemistry, Educational Research, Learning Theories
