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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
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
Mayer, Robert V. – European Journal of Contemporary Education, 2015
In this article we analyse: 1) one-component models of training; 2) the multi-component models considering transition of weak knowledge in strong and vice versa; and 3) the models considering change of working efficiency of the pupil during the day. The results of imitating modeling are presented, graphs of dependences of the pupil's knowledge on…
Descriptors: Models, Graphs, Learning Processes, Computer Simulation
Karimi, Hamid; Derr, Tyler; Huang, Jiangtao; Tang, Jiliang – International Educational Data Mining Society, 2020
Online learning has attracted a large number of participants and is increasingly becoming very popular. However, the completion rates for online learning are notoriously low. Further, unlike traditional education systems, teachers, if any, are unable to comprehensively evaluate the learning gain of each student through the online learning…
Descriptors: Online Courses, Academic Achievement, Prediction, Teaching Methods
Wee, Loo Kang; Lee, Tat Leong; Chew, Charles; Wong, Darren; Tan, Samuel – Physics Education, 2015
This paper reports a computer model simulation created using Easy Java Simulation (EJS) for learners to visualize how the steady-state amplitude of a driven oscillating system varies with the frequency of the periodic driving force. The simulation shows (N = 100) identical spring-mass systems being subjected to (1) a periodic driving force of…
Descriptors: Foreign Countries, Computer Simulation, Physics, Motion
Koponen, Ismo T.; Kokkonen, Tommi – Frontline Learning Research, 2014
In learning conceptual knowledge in physics, a common problem is the incompleteness of a learning process, where students' personal, often undifferentiated concepts take on more scientific and differentiated form. With regard to such concept learning and differentiation, this study proposes a systemic view in which concepts are considered as…
Descriptors: Scientific Concepts, Physics, Prediction, Models
Roman, Monica; Popescu, Dorin; Selisteanu, Dan – Educational Technology & Society, 2013
The objective of the present work was to implement a teaching system useful in modeling and simulation of biotechnological processes. The interactive system is based on applications developed using 20-sim modeling and simulation software environment. A procedure for the simulation of bioprocesses modeled by bond graphs is proposed and simulators…
Descriptors: Models, Computer Simulation, Biotechnology, Engineering Education
Pablo-Romero, Maria del Populo; Pozo-Barajas, Rafael; Gomez-Calero, Maria de la Palma – Educational Technology & Society, 2012
The IS-ML model is a basic tool used in the teaching of short-term macroeconomics. Teaching is essentially done through the use of graphs. However, the way these graphs are traditionally taught does not allow the learner to easily visualise changes in the curves. The IS-LM simulation program overcomes difficulties encountered in understanding the…
Descriptors: Statistical Analysis, Economics Education, Graphs, Macroeconomics
Bitton, Ephrat – ProQuest LLC, 2011
This dissertation explores the use of geometric and graphical models for a variety of information search and filtering applications. These models serve to provide an intuitive understanding of the problem domains and as well as computational efficiencies to our solution approaches. We begin by considering a search and rescue scenario where both…
Descriptors: Safety, Opinions, Hypothesis Testing, Intuition
Bouwer, Anders; Bredeweg, Bert – Instructional Science: An International Journal of the Learning Sciences, 2010
This article presents the design and evaluation of a tool for inspecting conceptual models of system behaviour. The basis for this research is the Garp framework for qualitative simulation. This framework includes modelling primitives, such as entities, quantities and causal dependencies, which are combined into model fragments and scenarios.…
Descriptors: Foreign Countries, Knowledge Representation, Ecology, Models
Bledsoe, Scott; Harmeyer, Dave – Journal of Educational Technology, 2011
This paper provides qualitative student-centered research from an online Research Methodology course taught partly within the immersive, 3-D environment of Second Life with fifty-eight graduate psychology students for the purpose of suggesting a constructivist-based instruction model for immersive environments. A qualitative method approach was…
Descriptors: Constructivism (Learning), Web Based Instruction, Computer Simulation, Student Attitudes
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use

Martin, T. Patrick; And Others – Information Processing and Management, 1990
Describes a model for the workload of a full text retrieval system and of a simulation model for a version of an existing system called Full/Text. The effectiveness of various data caching strategies using the 2 models are explored, and the impact of various parameters on the strategies are evaluated. (13 references) (LRW)
Descriptors: Case Studies, Computer Simulation, Documentation, Full Text Databases
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
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