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Novak, Walter R. P. – Biochemistry and Molecular Biology Education, 2022
Biochemistry is a data-heavy discipline, yet teaching students to work with large datasets is absent from many undergraduate Biochemistry programs. Ensuring that future generations of students are confident in tackling problems using big data first requires that educators become comfortable teaching big data skills. The activity described herein…
Descriptors: Biochemistry, Data, Workshops, Undergraduate Students
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Tan, Teck Kiang – Practical Assessment, Research & Evaluation, 2022
Power analysis based on the analytical t-test is an important aspect of a research study to determine the sample size required to detect the effect for the comparison of two means. The current paper presents a reader-friendly procedure for carrying out the t-test power analysis using the various R add-on packages. While there is a growing of R…
Descriptors: Programming Languages, Sample Size, Bayesian Statistics, Intervention
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Seralidou, Eleni; Douligeris, Christos – Education and Information Technologies, 2021
The effective teaching of the concept of programming, where critical thinking is an important factor, is not so easy in secondary education. New teaching approaches, including, game-based learning, may provide a solution due to their inclusion of more fun and diverse activities but they still lack the active participation of the students in the…
Descriptors: Computer Science Education, Programming, Programming Languages, Educational Games
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Verrett, Jonathan; Boukouvala, Fani; Dowling, Alexander; Ulissi, Zachary; Zavala, Victor – Chemical Engineering Education, 2020
Computational notebooks are an increasingly common tool used to support student learning in a variety of contexts where computer programming can be applied. These notebooks provide an easily distributable method of displaying text and images, as well as sections of computer code that can be manipulated and run in real-time. This format allows…
Descriptors: Computer Science Education, Programming, Programming Languages, College Students
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Monjelat, Natalia; Lantz-Andersson, Annika – Education and Information Technologies, 2020
In recent years, there has been a renewed interest in the introduction of programming in teacher education and professional development, highlighting its importance for the development of so-called computational thinking. This study explored primary education teachers' participation in programming practices. By focusing on their views of creating…
Descriptors: Faculty Development, Thinking Skills, Elementary School Teachers, Programming
Pearson, 2020
Programming and coding skills are in high demand, and can provide access to employment in growing fields. But a high percentage of undergraduates who enroll in relevant programs do not persist until they achieve competency in the subject and employment in the field. Revel for "Introduction to Java Programming" aims to give students an…
Descriptors: Introductory Courses, Programming, Computer Science Education, Electronic Learning
Fay, Derek; Armstrong, Mark; McEldoon, Katherine; Ridley, Julia – Pearson, 2020
Programming and coding skills are in high demand, and can provide access to employment in growing fields. But a high percentage of undergraduates who enroll in relevant programs do not persist until they achieve competency in the subject and employment in the field. Revel is an interactive learning environment intended to help students prepare for…
Descriptors: Introductory Courses, Programming, Computer Science Education, Electronic Learning
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Echeverri-Jimenez, Emmanuel; Oliver-Hoyo, Maria – Journal of Chemical Education, 2021
Gaussian-2-Blender is an open-source application programming interface (API) written in Python that allows for the conversion of Gaussian input files to 3D objects of different formats. This new tool was developed in response to the shortcomings of available programs to import Gaussian calculations into augmented reality (AR) or virtual reality…
Descriptors: Chemistry, Programming Languages, Computation, Computer Simulation
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Kane Meissel; Esther S. Yao – Practical Assessment, Research & Evaluation, 2024
Effect sizes are important because they are an accessible way to indicate the practical importance of observed associations or differences. Standardized mean difference (SMD) effect sizes, such as Cohen's d, are widely used in education and the social sciences -- in part because they are relatively easy to calculate. However, SMD effect sizes…
Descriptors: Computer Software, Programming Languages, Effect Size, Correlation
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Michael Kolling – Informatics in Education, 2024
The principles of programming language design for learning and teaching have been described and discussed for several decades. Most influential was the work of Niklaus Wirth, describing principles such as simplicity, modularity, orthogonality, and readability. So why is this still an area of fundamental disagreement among educators? Why can…
Descriptors: Programming Languages, Design, Novices, Computer Science Education
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Melina Verger; Chunyang Fan; Sébastien Lallé; François Bouchet; Vanda Luengo – Journal of Educational Data Mining, 2024
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…
Descriptors: Algorithms, Prediction, Bias, Classification
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Shin, Yoonhee; Song, Donggil – Journal of Educational Computing Research, 2022
This study explores the effect of self-regulated learning support on learners' cognitive load and problem-solving performance, considering cases from well-structured to ill-structured tasks in a computer programing course. Sixty-seven undergraduate students in a computer programing fundamentals course were randomly assigned into one of two groups:…
Descriptors: Cognitive Ability, Computer Science Education, Programming, Problem Solving
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Gökçe, Semirhan; Yenmez, Arzu Aydogan – Education and Information Technologies, 2023
Individuals learn to develop problem solving strategies and make connections between their mathematical ideas while programming, so they have the opportunity to improve their thinking skills. Scratch provides an environment to experience problem scenarios and encourages them to act out imagination while having fun. The purpose of the study is to…
Descriptors: Programming Languages, Reflection, Problem Solving, Computation
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Mitri, Michel – Journal of Information Systems Education, 2023
This article presents a multi-stage guided technical project coding Python scripts for utilizing Amazon Web Services (AWS) to work with a document-store database called DynamoDB. Students doing this project should have taken an introductory programming class (ideally in Python) and a database class to have experience with Python coding and…
Descriptors: Programming Languages, Computer Science Education, Student Projects, Databases
Victor Lebora´n; Francisco Rivadulla – Journal of Chemical Education, 2023
The process of diffusion is intimately related to random molecular displacement and is central to many problems in chemistry. Here, we provide an intuitive derivation of the diffusion equation based on the analysis of the random trajectories of particles generated and plotted by simple MATLAB and Python scripts. The codes are very simple and…
Descriptors: Computer Software, Chemistry, Science Instruction, Scientific Concepts
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