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Roy, Urmi – Biochemistry and Molecular Biology Education, 2016
This work presents a three-dimensional (3D) modeling exercise for undergraduate students in chemistry and health sciences disciplines, focusing on a protein-group linked to immune system regulation. Specifically, the exercise involves molecular modeling and structural analysis of tumor necrosis factor (TNF) proteins, both wild type and mutant. The…
Descriptors: Science Instruction, Cancer, Computer Simulation, Chemistry
Helyer, Richard; Dickens, Peter – Advances in Physiology Education, 2016
High-fidelity patient simulators are mainly used to teach clinical skills and remain underutilized in teaching basic sciences. This article summarizes our current views on the use of simulation in basic science education and identifies pitfalls and opportunities for progress.
Descriptors: Science Education, Computer Simulation, Fidelity, Patients
Theilmann, Florian; Reinhard, Christopher – Physics Education, 2016
Although the physics of cycling itself is a complex mixture of aerodynamics, physiology, mechanics, and heuristics, using cycling as a context for teaching physics has a tradition of certainly more than 30 years. Here, a possible feature is the discussion of the noticeable resistant forces such as aerodynamic drag and the associated power…
Descriptors: Physics, Scientific Concepts, Energy, Simulation
Harnowo, Akhadian S.; Calhoun, Mikelle A.; Monteiro, Heather – Decision Sciences Journal of Innovative Education, 2016
Studies show that supply chain integration (SCI) is important to organizations. This article describes an activity that places students in the middle of an SCI scenario. The highly interactive hands-on simulation requires only 50 to 60 minutes of classroom time, may be used with 18 to about 36 students, and involves minimal instructor preparation.…
Descriptors: Integrated Activities, Distributive Education, Case Method (Teaching Technique), Teaching Methods
Moeyaert, Mariola; Ugille, Maaike; Ferron, John M.; Beretvas, S. Natasha; Van den Noortgate, Wim – Journal of Experimental Education, 2016
The impact of misspecifying covariance matrices at the second and third levels of the three-level model is evaluated. Results indicate that ignoring existing covariance has no effect on the treatment effect estimate. In addition, the between-case variance estimates are unbiased when covariance is either modeled or ignored. If the research interest…
Descriptors: Hierarchical Linear Modeling, Monte Carlo Methods, Computation, Statistical Bias
Jastaniah, Saddig; Alganmi, Ohud – Journal of Education and Practice, 2016
Uses of models play an important role by simulating the bone, obviating the need to experiment on humans or animals. The aim of the present study was to access local materials as gypsum and wax is to be tested for performing a knee model matching bone in the density also to explore how students can come to understand function through a model-based…
Descriptors: Human Body, Models, Simulation, Teaching Methods
Conson, Massimiliano; Hamilton, Antonia; De Bellis, Francesco; Errico, Domenico; Improta, Ilaria; Mazzarella, Elisabetta; Trojano, Luigi; Frolli, Alessandro – Journal of Autism and Developmental Disorders, 2016
Developmental data suggested that mental simulation skills become progressively dissociated from overt motor activity across development. Thus, efficient simulation is rather independent from current sensorimotor information. Here, we tested the impact of bodily (sensorimotor) information on simulation skills of adolescents with Autism Spectrum…
Descriptors: Psychomotor Skills, Motor Development, Simulation, Pervasive Developmental Disorders
McEneaney, John E. – Instructional Science: An International Journal of the Learning Sciences, 2016
Instructional technologies critically depend on systematic design, and learning hierarchies are a commonly advocated tool for designing instructional sequences. But hierarchies routinely allow numerous sequences and choosing an optimal sequence remains an unsolved problem. This study explores a simulation-based approach to modeling learning…
Descriptors: Educational Technology, Computer Simulation, Sequential Learning, Sequential Approach
Falconer, John L. – Chemical Engineering Education, 2016
More than 40 interactive "Mathematica" simulations were prepared for chemical engineering thermodynamics, screencasts were prepared that explain how to use each simulation, and more than 100 ConcepTests were prepared that utilize the simulations. They are located on www.LearnChemE.com. The purposes of these simulations are to clarify…
Descriptors: Thermodynamics, Simulation, Chemical Engineering, Engineering Education
Zhang, Yili; Smolen, Paul; Alberini, Cristina M.; Baxter, Douglas A.; Byrne, John H. – Learning & Memory, 2016
Inhibitory avoidance (IA) training in rodents initiates a molecular cascade within hippocampal neurons. This cascade contributes to the transition of short- to long-term memory (i.e., consolidation). Here, a differential equation-based model was developed to describe a positive feedback loop within this molecular cascade. The feedback loop begins…
Descriptors: Inhibition, Animals, Animal Behavior, Brain Hemisphere Functions
Geiger, Vince; Muir, Tracey; Lamb, Janeen – Journal of Mathematics Teacher Education, 2016
The purpose of this article is to examine the potential of video-catalysed reflective practice for supporting ongoing teacher professional learning in numeracy. We explore this potential through a synthesis of two case studies that investigated different approaches to supporting teacher reflection on practice through the use of video-stimulated…
Descriptors: Numeracy, Faculty Development, Computer Simulation, Video Technology
Maria Cela-Ranilla, Jose; Molías, Luis Marqués; Cervera, Mercè Gisbert – International Journal of Distance Education Technologies, 2016
This study analyzes the relationship between the use of learning patterns as a grouping criterion to develop learning activities in the 3D simulation environment at University. Participants included 72 Spanish students from the Education and Marketing disciplines. Descriptive statistics and non-parametric tests were conducted. The process was…
Descriptors: Simulation, Educational Environment, Simulated Environment, Teamwork
Kennelly, Emily; Osborn, Debra; Reardon, Robert; Shetty, Becka – International Journal of ePortfolio, 2016
This study examined whether or not students using a career ePortfolio, including a matrix for identifying and reflecting on transferrable skills, enabled them to rate their skills more confidently and positively after a simulated (mock) job interview. Three groups were studied: those completing the skills matrix in the ePortfolio; those using the…
Descriptors: Portfolios (Background Materials), Electronic Publishing, Case Studies, College Students
Del Giudice, Marco – Developmental Psychology, 2016
According to models of differential susceptibility, the same neurobiological and temperamental traits that determine increased sensitivity to stress and adversity also confer enhanced responsivity to the positive aspects of the environment. Differential susceptibility models have expanded to include complex developmental processes in which genetic…
Descriptors: Twins, Environmental Influences, Individual Development, Models
Shaughnessy, Michael F.; Fulgham, Susan M. – Educational Technology, 2016
Clark Aldrich is the founder and Managing Partner of Clark Aldrich Designs, and is known as a global education visionary, industry analyst, and speaker. In this interview, he responds to questions about his ideas, his work, and his theories.
Descriptors: Educational Technology, Educational Games, Computer Simulation, Computer Games

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