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Showing 1 to 15 of 28 results Save | Export
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Line Have Musaeus; Deborah Tatar; Peter Musaeus – Journal of Biological Education, 2024
Computational modelling is widely used in biological science. Therefore, biology students need to learn computational modelling. However, there is a lack of evidence about how to teach computational modelling in biology and what the effects are on student learning. The purpose of this intervention-control study was to investigate how knowledge in…
Descriptors: Computation, Models, High School Students, Biology
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Aslina Saad; Suhaila Zainudin – Interactive Learning Environments, 2024
This study delves into the integration of Project-Based Learning (PBL) and Computational Thinking (CT) to enhance 21st century learning. Through a Narrative Literature Review (NLR), pivotal strategies for effective implementation are identified. These include fostering collaborative pedagogy, employing visualization tools, embracing diverse…
Descriptors: Active Learning, Student Projects, Teaching Methods, Computation
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Awang Najib Awang Mohamad; Zaimuariffudin Nordin; Mohd Hafizan Hashim – Journal of Research Initiatives, 2025
Design-based research (DBR) has proven to be a robust methodology for transforming educational practice through a systematic cycle of analysis, design, development, and real-world implementation. Its distinctive strength lies in fostering close collaboration between researchers and educators within authentic learning contexts, producing design…
Descriptors: Educational Innovation, Educational Research, Design, Research Methodology
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Yara C. Almanza-Arjona; Juan C. Durán-Álvarez; Ernesto Fernández-Urtusástegui; Claudia S. Castrejón-Perezyera – Journal of Chemical Education, 2022
The reaction rate and rate law are chemical kinetics concepts that undergraduate students have difficulty understanding and applying in real life. A further challenge is the overall reaction rate of consecutive reactions. Herein we present a creative teaching practice using the analogy-based approach to exploit the similarities between the…
Descriptors: Logical Thinking, Kinetics, COVID-19, Pandemics
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Weitekamp, Daniel, III.; Harpstead, Erik; MacLellan, Christopher J.; Rachatasumrit, Napol; Koedinger, Kenneth R. – International Educational Data Mining Society, 2019
Computational models of learning can be powerful tools to test educational technologies, automate the authoring of instructional software, and advance theories of learning. These mechanistic models of learning, which instantiate computational theories of the learning process, are capable of making predictions about learners' performance in…
Descriptors: Computation, Models, Learning, Prediction
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Ou, Lu; Hofman, Abe D.; Simmering, Vanessa R.; Bechger, Timo; Maris, Gunter; van der Maas, Han L. J. – International Educational Data Mining Society, 2019
In this study, we fitted a mixed-effects nonlinear continuous-time mutualism model of skill development proposed by van der Maas et al. (2006) to naturally collected irregularly spaced time series data from an online adaptive practice system for mathematics called Math Garden. Results showed that the mutualism model provided a better fit to the…
Descriptors: Mathematics Skills, Skill Development, Time, Models
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Jason Knight Belnap; Amy Parrott – Mathematics Teacher: Learning and Teaching PK-12, 2020
This article discusses how technology, in conjunction with carefully designed tasks and orchestrated discussions, has the potential to both reveal students' mathematical practices and to provide opportunities to shape those practices. Four specific mathematical practices that tend to be associated with problem-solving situations are examined: (1)…
Descriptors: Educational Technology, Technology Uses in Education, Problem Solving, Models
Opper, Isaac M. – RAND Corporation, 2020
Researchers often include covariates when they analyze the results of randomized controlled trials (RCTs), valuing the increased precision of the estimates over the potential of inducing small-sample bias when doing so. In this paper, we develop a sufficient condition which ensures that the inclusion of covariates does not induce small-sample bias…
Descriptors: Artificial Intelligence, Man Machine Systems, Educational Technology, Technology Uses in Education
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Smith, Garon C.; Hossain, Md Mainul – Journal of Chemical Education, 2017
"Complexation TOPOS" is a free software package to generate 3-D topographic surfaces ("topos") for metal-ligand complexometric titrations in aqueous media. It constructs surfaces by plotting computed equilibrium parameters above a composition grid with "volume of ligand added" as the x-axis and overall system dilution…
Descriptors: Science Instruction, Metallurgy, College Science, Computer Assisted Instruction
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Boulden, Danielle Cadieux; Wiebe, Eric; Akram, Bita; Aksit, Osman; Buffum, Philip Sheridan; Mott, Bradford; Boyer, Kristy Elizabeth; Lester, James – Middle Grades Review, 2018
This paper reports findings from the efforts of a university-based research team as they worked with middle school educators within formal school structures to infuse computer science principles and computational thinking practices. Despite the need to integrate these skills within regular classroom practices to allow all students the opportunity…
Descriptors: Computation, Thinking Skills, Middle School Students, Science Instruction
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Camrud, Evan; Turner, Daniel B. – Journal of Chemical Education, 2017
Numerous computational and spectroscopic studies have demonstrated the decisive role played by nonadiabatic coupling in photochemical reactions. Nonadiabatic coupling drives photochemistry when potential energy surfaces are nearly degenerate at avoided crossings or truly degenerate at unavoided crossings. The dynamics induced by nonadiabatic…
Descriptors: Chemistry, Science Instruction, College Science, Graduate Study
Office of Educational Technology, US Department of Education, 2019
To help teachers implement new, research-based approaches for leveraging technology to improve science, technology, engineering and mathematics (STEM) learning, a systematic review of the research literature on the impact of integrating innovative digital technology in STEM and computer science curricula and classrooms was conducted. For purposes…
Descriptors: STEM Education, Educational Technology, Technology Uses in Education, Teaching Methods
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Ifenthaler, Dirk, Ed.; Sampson, Demetrios G., Ed.; Isaías, Pedro, Ed. – Cognition and Exploratory Learning in the Digital Age, 2022
This book is about inclusivity and open education in the digital age. It reports the latest data on this topic from the 2021 Cognition and Exploratory Learning in the Digital Age (CELDA) conference. This annual conference focuses on challenges pertaining to the evolution of the learning process, the role of pedagogical approaches and the progress…
Descriptors: Teaching Methods, Educational Innovation, Educational Technology, Technology Uses in Education
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Niu, Ke; Niu, Zhendong; Zhao, Xiangyu; Wang, Can; Kang, Kai; Ye, Min – International Educational Data Mining Society, 2016
User clustering algorithms have been introduced to analyze users' learning behaviors and help to provide personalized learning guides in traditional Web-based learning systems. However, the explicit and implicit coupled interactions, which means the correlations between user attributes generated from learning actions, are not considered in these…
Descriptors: Web Based Instruction, Student Needs, User Needs (Information), Mathematics
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Matsumoto, Paul S.; Cao, Jiankang – Journal of Chemical Education, 2017
Computational thinking is a component of the Science and Engineering Practices in the Next Generation Science Standards, which were adopted by some states. We describe the activities in a high school chemistry course that may develop students' computational thinking skills by primarily using Excel, a widely available spreadsheet software. These…
Descriptors: Secondary School Science, High School Students, Computation, Thinking Skills
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