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Showing 151 to 165 of 1,439 results Save | Export
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McCarthy, Chris; Lan, Jie; Li, Jieying – PRIMUS, 2019
We present noncompetitive adsorption as "particles in a box with one sticky wall." We start with a general model that can be modeled as a simple ordinary differential equation (ODE). To verify the ODE students run a computer simulation. The ODE's solution imperfectly fits the simulation's data. This leads to the diffusion partial…
Descriptors: Equations (Mathematics), Mathematical Models, Problem Solving, Computer Simulation
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Aguilar, Jair J.; Flores, Yajaira – EURASIA Journal of Mathematics, Science and Technology Education, 2022
First-year elementary pre-service teachers usually conduct field observations but are barely offered opportunities to engage in well-structured teaching situations. In the current study, we implemented mixed-reality simulations (MRS) in a mathematics methods course to improve elementary pre-service teacher's abilities to elicit, question, and…
Descriptors: Preservice Teachers, Elementary School Teachers, Mathematics Instruction, Methods Courses
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Root, Jenny R.; Cox, Sarah K.; Davis, Kathryn; Gonzales, Sarah – Remedial and Special Education, 2022
Young adults with autism spectrum disorder (ASD) need both academic and social skills required to apply acquired knowledge and skills in real-world settings. This study evaluated the effects of a multicomponent intervention incorporating both Modified Schema-Based Instruction (MSBI) and video-based instruction delivered via augmented reality (AR)…
Descriptors: Autism Spectrum Disorders, Program Effectiveness, Evidence Based Practice, Mathematics Instruction
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Hunter, Kevin H.; Rodriguez, Jon-Marc G.; Becker, Nicole M. – Chemistry Education Research and Practice, 2021
Beyond students' ability to manipulate variables and solve problems, chemistry instructors are also interested in students developing a deeper conceptual understanding of chemistry, that is, engaging in the process of sensemaking. The concept of sensemaking transcends problem-solving and focuses on students recognizing a gap in knowledge and…
Descriptors: Chemistry, Science Process Skills, Problem Solving, Comprehension
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Lai, Ying-Hsun; Chen, Shih-Yeh; Lai, Chin-Feng; Chang, Yao-Chung; Su, Yu-Sheng – Interactive Learning Environments, 2021
Due to their applications on varied and complex issues, Artificial Intelligence (AI) and Internet of Things (IoT) (collectively, AIoT) have become popular new-generation courses, but the learning of such courses needs to consider actual situations and to analyze complicated problems, making it difficult for students to improve their academic…
Descriptors: Artificial Intelligence, Internet, Computation, Thinking Skills
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Mistry, Nimesh; Shahid, Namrah – Journal of Chemical Education, 2021
Guided-inquiry experiments are an important tool for helping students develop scientific practices such as hypothesizing and problem solving. In organic chemistry, these types of experiments can help students learn how to connect the theory of the reaction to the observation and data to decide how the reaction is proceeding or if it needs…
Descriptors: Organic Chemistry, Science Instruction, Computer Simulation, Teaching Methods
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Zhang, Qiao; Maclellan, Christopher J. – International Educational Data Mining Society, 2021
Knowledge tracing algorithms are embedded in Intelligent Tutoring Systems (ITS) to keep track of students' learning process. While knowledge tracing models have been extensively studied in offline settings, very little work has explored their use in online settings. This is primarily because conducting experiments to evaluate and select knowledge…
Descriptors: Electronic Learning, Mastery Learning, Computer Simulation, Intelligent Tutoring Systems
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Susu Zhang; Xueying Tang; Qiwei He; Jingchen Liu; Zhiliang Ying – Grantee Submission, 2024
Computerized assessments and interactive simulation tasks are increasingly popular and afford the collection of process data, i.e., an examinee's sequence of actions (e.g., clickstreams, keystrokes) that arises from interactions with each task. Action sequence data contain rich information on the problem-solving process but are in a nonstandard,…
Descriptors: Correlation, Problem Solving, Computer Assisted Testing, Prediction
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Daniel Elford; Garth A. Jones; Simon J. Lancaster – Chemistry Education Research and Practice, 2024
Peer Instruction (PI), a student-centred teaching method, engages students during class through structured, frequent questioning, facilitated by classroom response systems. The central feature of PI is the ConcepTest, a question designed to help resolve student misconceptions around the subject content. Within our coordination chemistry PI…
Descriptors: Chemistry, Science Instruction, Teaching Methods, Computer Simulation
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Markauskaite, Lina; Kelly, Nick; Jacobson, Michael J. – Research in Science Education, 2020
This paper gives a grounded cognition account of model-based learning of complex scientific knowledge related to socio-scientific issues, such as climate change. It draws on the results from a study of high school students learning about the carbon cycle through computational agent-based models and investigates two questions: First, how do…
Descriptors: High School Students, Scientific Literacy, Climate, Science and Society
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Kaimal, Girija; Carroll-Haskins, Katrina; Berberian, Marygrace; Dougherty, Abby; Carlton, Natalie; Ramakrishnan, Arun – Art Therapy: Journal of the American Art Therapy Association, 2020
Virtual reality (VR) therapies have been used in health and mental health care settings. The applicability of VR expressive tools has not yet been examined adequately in the creative arts therapies. This pilot qualitative study reports on 17 participants' experiences with VR art-making tools to determine its relevance to art therapy practice and…
Descriptors: Computer Simulation, Art Therapy, Self Expression, Mental Health
Daniel Weitekamp III; Erik Harpstead; Kenneth R. Koedinger – Grantee Submission, 2020
Intelligent tutoring systems (ITSs) have consistently been shown to improve the educational outcomes of students when used alone or combined with traditional instruction. However, building an ITS is a time-consuming process which requires specialized knowledge of existing tools. Extant authoring methods, including the Cognitive Tutor Authoring…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Instructional Design, Simulation
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Tekin, Murat; Uysal, Ibrahim – International Journal of Curriculum and Instruction, 2023
As a requirement of our era, digital competence and e-learning have become basic competencies. The importance of these concepts has become clearer in medical education, especially with the COVID-19 pandemic. This period also triggered the transformation in education with technology. This study aimed to examine the relationship between medical…
Descriptors: Medical Education, Medical Students, Electronic Learning, Student Attitudes
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Yiqiu Zhou; Jina Kang – Journal of Learning Analytics, 2023
Collaboration is a complex, multidimensional process; however, details of how multimodal features intersect and mediate group interactions have not been fully unpacked. Characterizing and analyzing the temporal patterns based on multimodal features is a challenging yet important work to advance our understanding of computer-supported collaborative…
Descriptors: Attention Control, Cooperative Learning, Data Analysis, Computer Assisted Instruction
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Shenglin Cao; Juan Chu; ZuoChen Zhang; Liyan Liu – Interactive Learning Environments, 2024
VR technology is being widely used in education due to it's a sense of immersion, real-time interaction, and ability to stimulate imagination. However, there is a lack of research comparing students at different stages. This study used a quasi-experimental design involving 73 fourth-grade and 86 eighth-grade students in two schools in northwest…
Descriptors: Computer Simulation, Technology Uses in Education, Instructional Effectiveness, Elementary School Students
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