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Download full textLi, ZhaoBin; Yee, Luna; Sauerberg, Nathaniel; Sakson, Irene; Williams, Joseph Jay; Rafferty, Anna N. – International Educational Data Mining Society, 2020
Digital educational technologies offer the potential to customize students' experiences and learn what works for which students, enhancing the technology as more students interact with it. We consider whether and when attempting to discover how to personalize has a cost, such as if the adaptation to personal information can delay the adoption of…
Descriptors: Educational Technology, Technology Uses in Education, Student Needs, Student Characteristics
Direct linkJeon, Young Keul; Youm, Jae Boum; Ha, Kotdaji; Woo, JooHan; Yoo, Hae Young; Leem, Chae Hun; Lee, Seung Hee; Kim, Sung Joon – Advances in Physiology Education, 2020
To understand the excitation-contraction (E-C) coupling of cardiomyocytes, including the electrophysiological mechanism of their characteristically long action potential duration, is one of the major learning goals in medical physiology. However, the integrative interpretation of the responses occurring during the contraction-relaxation cycle is…
Descriptors: Physiology, Medical Education, Mathematics, Computer Simulation
Tan, Qing; Chang, William; Kinshuk – Electronic Journal of e-Learning, 2015
AR technology can be considered as mainly consisting of two aspects: identification of real-world object and display of computer-generated digital contents related the identified real-world object. The technical challenge of mobile AR is to identify the real-world object that mobile device's camera aim at. In this paper, we will present a…
Descriptors: Educational Technology, Telecommunications, Simulated Environment, Computer Simulation
Falconer, John L.; Nicodemus, Garret D. – Chemical Engineering Education, 2014
Interactive Mathematica simulations with graphical displays of system behavior are an excellent addition to chemical engineering courses. The Manipulate command in Mathematica creates on-screen controls that allow users to change system variables and see the graphical output almost instantaneously. They can be used both in and outside class. More…
Descriptors: Computer Simulation, Mathematics, Engineering Education, Chemical Engineering
Street, Garrett M.; Laubach, Timothy A. – American Biology Teacher, 2013
We provide a 5E structured-inquiry lesson so that students can learn more of the mathematics behind the logistic model of population biology. By using models and mathematics, students understand how population dynamics can be influenced by relatively simple changes in the environment.
Descriptors: Biology, Population Growth, Science Instruction, Computer Simulation
Bastiaens, Theo, Ed. – Association for the Advancement of Computing in Education, 2022
The Association for the Advancement of Computing in Education (AACE) is an international, non-profit educational organization. The Association's purpose is to advance the knowledge, theory, and quality of teaching and learning at all levels with information technology. The "EdMedia + Innovate Learning" conference took place in New York,…
Descriptors: Educational Technology, Flipped Classroom, Online Courses, Student Projects
Witherspoon, Margaret; Sykes, Gary; Bell, Courtney – Educational Testing Service, 2016
This paper provides a description and rationale for a performance assessment of a teaching practice--leading a classroom discussion (LCD)--included in the ETS® National Observational Teaching Examination (NOTE) assessment series. In this assessment, candidates interact with a small class of virtual students represented by avatars in a…
Descriptors: Performance Based Assessment, Discussion (Teaching Technique), Simulated Environment, Computer Simulation
Qi, Yi; Sykes, Gary – Educational Testing Service, 2016
This report describes and provides research and scholarly support for a core practice of teaching--eliciting student thinking (EST)--that is the target for a performance assessment contributing one component of the "ETS"® National Observational Teaching Examination (NOTE) assessment series. The purpose of this report is to review the…
Descriptors: Performance Based Assessment, Discussion (Teaching Technique), Simulated Environment, Computer Simulation
Stickler, Leslie; Sykes, Gary – Educational Testing Service, 2016
This report reviews the scholarly and research evidence supporting the construct labeled modeling and explaining content (MEC), which is measured via a performance assessment in the "ETS"® National Observational Teaching Examination (NOTE) assessment series. This construct involves practices at the heart of teaching that deal with how…
Descriptors: Performance Based Assessment, Discussion (Teaching Technique), Simulated Environment, Computer Simulation
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
Laakso, Mikko-Jussi; Myller, Niko; Korhonen, Ari – Educational Technology & Society, 2009
In this paper, two emerging learning and teaching methods have been studied: collaboration in concert with algorithm visualization. When visualizations have been employed in collaborative learning, collaboration introduces new challenges for the visualization tools. In addition, new theories are needed to guide the development and research of the…
Descriptors: Visualization, Teaching Methods, Classification, Comparative Analysis
The Impact of Learner's Prior Knowledge on Their Use of Chemistry Computer Simulations: A Case Study
Liu, Han-Chin; Andre, Thomas; Greenbowe, Thomas – Journal of Science Education and Technology, 2008
It is complicated to design a computer simulation that adapts to students with different characteristics. This study documented cases that show how college students' prior chemistry knowledge level affected their interaction with peers and their approach to solving problems with the use of computer simulations that were designed to learn…
Descriptors: Science Instruction, Individual Differences, Knowledge Level, Prior Learning
Esponda-Arguero, Margarita – Journal of Educational Computing Research, 2008
This article is a review of the pedagogical experience obtained with systems for algorithmic animation. Algorithms consist of a sequence of operations whose effect on data structures can be visualized using a computer. Students learn algorithms by stepping the animation through the different individual operations, possibly reversing their effect.…
Descriptors: Animation, Teaching Methods, Electronic Learning, Educational Technology
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
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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