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Harring, Jeffrey R.; Johnson, Tessa L. – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Jeffrey Harring and Ms. Tessa Johnson introduce the linear mixed effects (LME) model as a flexible general framework for simultaneously modeling continuous repeated measures data with a scientifically defensible function that adequately summarizes both individual change as well as the average response. The module…
Descriptors: Educational Assessment, Data Analysis, Longitudinal Studies, Case Studies
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Love, Tyler S.; Griess, Carolyn J. – Science and Children, 2020
Computational thinking has been taught in elementary classrooms in other countries for many years, but in the United States this has only been a focus recently due to the drastic shortage of computer scientists. Early exposure to computational thinking has been shown to motivate students to pursue STEM careers, especially computer science (Jin,…
Descriptors: Computation, Thinking Skills, Engineering Education, Elementary School Students
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Fairley, David – School Science Review, 2020
This article introduces the use of "VPython" (the "Python" programming language plus a 3D graphics module called "Visual") as a potentially valuable tool in teaching aspects of secondary school chemistry, which also provides an opportunity for students to gain some experience with manipulating and/or writing computer…
Descriptors: Science Instruction, Educational Technology, Technology Uses in Education, Chemistry
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Headly, David Miles; Willard, Howard – Physics Teacher, 2019
A single laboratory exercise in introductory physics that includes a bit of calculus, a little programming, some breadboard wiring, and making mathematical connections between motion, net force, and power provides a nice STEM experience for students. If you can add in a biomechanics component you hopefully have something that overall can be an…
Descriptors: Science Instruction, Physics, Calculus, Programming
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Farris, Amy Voss; Dickes, Amanda C.; Sengupta, Pratim – Science & Education, 2019
Studies of scientific practice demonstrate that the development of scientific models is an enactive and emergent process (e.g., Pickering 1995; Chandrasekharan and Nersessian 2017). Scientists make meaning through processes such as perspective taking, finding patterns, and following intuitions. In this paper, we focus on how a group of fourth…
Descriptors: Measurement, Grade 4, Elementary School Students, Models
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Lee, Joohi; Junoh, Jo – Early Childhood Education Journal, 2019
Coding is defined as the "process of assigning a code (command/rule)" (http://Techopedia.com) that allows a machine or a person to act or move (McLennan, https://www.naeyc.org/resources/pubs/tyc/feb2017/creating-coding-stories-and-games, 2017). Though machines operated by a coding system are common in children's everyday lives, there has…
Descriptors: Coding, Early Childhood Education, Developmentally Appropriate Practices, Teaching Methods
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Hemphill, Christy; Hemphill, Aaron – International Journal of Technology in Education, 2021
Minority language communities lack access to educational technology that facilitates literacy skill building. The approach currently taken by most educational game app developers privileges widely spoken languages and often requires intensive resource investment. In response, a new game app was designed to provide easily localized, pedagogically…
Descriptors: Language Minorities, Computer Software, Computer Games, Teaching Methods
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Finch, Holmes – Practical Assessment, Research & Evaluation, 2022
Researchers in many disciplines work with ranking data. This data type is unique in that it is often deterministic in nature (the ranks of items "k"-1 determine the rank of item "k"), and the difference in a pair of rank scores separated by "k" units is equivalent regardless of the actual values of the two ranks in…
Descriptors: Data Analysis, Statistical Inference, Models, College Faculty
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Savonen, Candace; Wright, Carrie; Hoffman, Ava M.; Muschelli, John; Cox, Katherine; Tan, Frederick J.; Leek, Jeffrey T. – Journal of Statistics and Data Science Education, 2023
Data science and informatics tools are developing at a blistering rate, but their users often lack the educational background or resources to efficiently apply the methods to their research. Training resources and vignettes that accompany these tools often deprecate because their maintenance is not prioritized by funding, giving teams little time…
Descriptors: Open Source Technology, Multiple Choice Tests, Summative Evaluation, Formative Evaluation
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Rao, B. Madhu; Xanthopoulos, Petros; Zheng, Qipeng Phil – INFORMS Transactions on Education, 2020
NP-complete problems such as the traveling salesman problem (TSP) play a prominent role in most advanced undergrad/graduate courses in discrete optimization modeling. Teaching such an important topic from a purely mathematical perspective without discussing specific applications may result in reduced student interest and motivation. The DeLand…
Descriptors: Manufacturing Industry, Art Materials, Case Method (Teaching Technique), Scheduling
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Yenkie, Kirti Maheshkumar – Chemical Engineering Education, 2020
The current business trends, such as Industry 4.0, require a modern chemical engineer to know about programming, advanced computational tools, and holistic thinking. To this end, an integrated approach, where theoretical concepts are supplemented by computational lab-based exercises and team projects promoting "Design Thinking" is…
Descriptors: Chemical Engineering, Engineering Education, Undergraduate Students, College Instruction
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Cline, K.; Fasteen, J.; Francis, A.; Sullivan, E.; Wendt, T. – PRIMUS, 2020
We have integrated computer programming instruction into the required courses of our mathematics major. Our majors take a sequence of four courses in their first 2 years, each of which is paired with a weekly 75-minute computer lab period that has a dual purpose of both computationally exploring the mathematical concepts from the lecture portion…
Descriptors: College Mathematics, Majors (Students), Programming, Teaching Methods
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Ball, Doug; Tofel-Grehl, Colby – Physics Teacher, 2020
Electric potential is one of the most challenging concepts taught in high school physics classes due to the abstract nature of the concept. When taught, electric potential is often taught using a poorly triangulated set of instructional analogies, each possessing different strengths and limitations. Within this paper we share our learning from a…
Descriptors: High School Students, Physics, Science Instruction, Energy
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Kisling, Reid; Peterson, Andrew; Nisbet, Robert – Strategic Enrollment Management Quarterly, 2021
Data analytics is undergoing an evolution through effective data use to support both operational and learning analytics models. However, this evolution will require that institutional leaders transform their data systems to best support the needs of application modeling and use their intuition to help drive the development of better analytical…
Descriptors: Higher Education, Learning Analytics, Models, Instructional Leadership
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Adams, Bryan; Baller, Daniel; Jonas, Bryan; Joseph, Anny-Claude; Cummiskey, Kevin – Journal of Statistics and Data Science Education, 2021
Since the publishing of Nolan and Temple Lang's "Computing in the Statistics Curriculum" in 2010, the American Statistical Association issued new recommendations in the revised GAISE college report. To reflect modern practice and technologies, they emphasize giving students experience with multivariable thinking. Students develop…
Descriptors: Multivariate Analysis, Statistics Education, Teaching Methods, Thinking Skills
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