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Ethan C. Campbell; Katy M. Christensen; Mikelle Nuwer; Amrita Ahuja; Owen Boram; Junzhe Liu; Reese Miller; Isabelle Osuna; Stephen C. Riser – Journal of Geoscience Education, 2025
Scientific programming has become increasingly essential for manipulating, visualizing, and interpreting the large volumes of data acquired in earth science research. Yet few discipline-specific instructional approaches have been documented and assessed for their effectiveness in equipping geoscience undergraduate students with coding skills. Here…
Descriptors: Earth Science, Undergraduate Students, Programming Languages, Computer Software
Jenkins, Brian C. – Journal of Economic Education, 2022
The author of this article describes a new undergraduate course where students use Python programming for macroeconomic data analysis and modeling. Students develop basic familiarity with dynamic optimization and simulating linear dynamic models, basic stochastic processes, real business cycle models, and New Keynesian business cycle models.…
Descriptors: Undergraduate Students, Programming Languages, Macroeconomics, Familiarity
Yang, Fan; Akanbi, Temitope; Chong, Oscar Wong; Zhang, Jiansong; Debs, Luciana; Chen, Yunfeng; Hubbard, Bryan J. – Journal of Civil Engineering Education, 2024
Computing technology is reshaping the way in which professionals in the architecture, engineering, and construction industries conduct their business. The execution of construction tasks is changing from traditional 2D to 3D building information modeling (BIM)-based concepts. The use of BIM is expanded and enriched by the introduction of advanced…
Descriptors: Civil Engineering, Engineering Education, Programming Languages, Construction Management
Holman, Justin O.; Hacherl, Allie – Journal of Statistics and Data Science Education, 2023
It has become increasingly important for future business professionals to understand statistical computing methods as data science has gained widespread use in contemporary organizational decision processes in recent years. Used by scores of academics and practitioners in a variety of fields, Monte Carlo simulation is one of the most broadly…
Descriptors: Teaching Methods, Monte Carlo Methods, Programming Languages, Statistics Education
Tucker, Mary C.; Shaw, Stacy T.; Son, Ji Y.; Stigler, James W. – Journal of Statistics and Data Science Education, 2023
We developed an interactive online textbook that interleaves R programming activities with text as a way to facilitate students' understanding of statistical ideas while minimizing the cognitive and emotional burden of learning programming. In this exploratory study, we characterize the attitudes and experiences of 672 undergraduate students as…
Descriptors: Statistics Education, Undergraduate Students, Programming Languages, Student Attitudes
Wang, Hai; Wang, Shouhong – Journal of Information Systems Education, 2022
No-code/low-code app development is transforming traditional information system development paradigms. This teaching tip uses an example of course unit of decision support systems (DSS) to demonstrate that introducing no-code system implementation assignments into a course as a replacement for computer programming language exercises can improve…
Descriptors: Information Systems, Information Science Education, Programming Languages, Teaching Methods
Reinhart, Alex; Genovese, Christopher R. – Journal of Statistics and Data Science Education, 2021
Traditionally, statistical computing courses have taught the syntax of a particular programming language or specific statistical computation methods. Since Nolan and Temple Lang's seminal paper, we have seen a greater emphasis on data wrangling, reproducible research, and visualization. This shift better prepares students for careers working with…
Descriptors: Computer Software, Graduate Students, Computer Science Education, Statistics Education
Frydenberg, Mark; Xu, Jennifer – Information Systems Education Journal, 2019
Python is a popular, general purpose programming language that is gaining wide adoption in beginning programming courses. This paper describes the development and implementation of an introductory Python course at a business university open to students in a variety of majors and minors. Given the growing number of career opportunities in…
Descriptors: Programming Languages, Introductory Courses, Data Analysis, Course Descriptions
What! No GUI? -- Teaching a Text Based Command Line Oriented Introduction to Computer Science Course
Goldstein, Ira – Information Systems Education Journal, 2019
Computer Science students need to acquire knowledge about both the hardware and software aspects of computing systems. It is necessary for them to understand how each layer interacts with one another. However, since Graphical User Interfaces have become ubiquitous, the opportunities to interact with the computer via a command prompt as part of…
Descriptors: Computer Science Education, Computer Software, Introductory Courses, Programming
Luce, Thom – Information Systems Education Journal, 2020
This paper reviews the evolution of a senior level, live-client project development capstone class in the Analytics and Information Systems department of an AACSB accredited College of Business. The paper traces changes in methodologies and technologies leading to the current Scrum based approach, using ASP.NET Model-View-Controller, MVC, as the…
Descriptors: Capstone Experiences, College Seniors, Information Systems, Computer Software
Coetzee, Bronwynè; Kagee, Ashraf – Africa Education Review, 2021
In psychology departments in South Africa, the Statistical Package for the Social Sciences (SPSS) is routinely used for quantitative analysis. While SPSS has a user-friendly interface, it does not permit application of some of the more sophisticated analytic approaches and therefore has limited functionality. The programming language R can perform…
Descriptors: Teaching Methods, Faculty Development, Psychology, Programming Languages
Karnalim, Oscar – Themes in Science and Technology Education, 2017
This paper empirically enlists Python plagiarism attacks that have been found on Introductory Programming course assignments for undergraduate students. According to our observation toward 400 plagiarism-suspected cases, there are 35 plagiarism attacks that have been conducted by students. It starts with comment & whitespace modification as…
Descriptors: Plagiarism, Introductory Courses, Programming Languages, Taxonomy
Efecan, Can Fatih; Sendag, Serkan; Gedik, Nuray – Journal of Educational Computing Research, 2021
Learning programming is a painful process for most students, especially those learning text- based programming languages. In this study, based on the principle of Bandura's social learning theory, the vicarious real-life experiences of several pioneers in the field of IT and programming were presented as 15-minutes stories to a group of 9th…
Descriptors: Programming, Computer Science Education, Academic Achievement, Comparative Analysis
Reis, Rosa; Marques, Bertil P. – International Association for Development of the Information Society, 2021
In this paper we present a model for designing professional courses in a blended learning context as a tool to help the interaction between students, teachers and learning resources. This model aims to promote new concepts, new approaches and new strategies that have been changing the paradigm of teaching and learning. To develop a course based on…
Descriptors: Programming, Instructional Design, Computer Science Education, Case Studies
Domínguez, César; Jaime, Arturo; Heras, Jónathan; García-Izquierdo, Francisco J. – ACM Transactions on Computing Education, 2019
This study analyzes the impact of adding a review exercises module to an online tool used in a software engineering degree program. The objective of the module is to promote students' self-learning effort to improve their performance. We also intend to determine if this new feature has any effect on the amount of code copies detected in lab…
Descriptors: Teaching Methods, Computer Software, Engineering Education, Computer Science Education
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