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Joel S. Steele; Kevin J. Grimm – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Structural Equation Modeling (SEM) continues to grow in popularity with numerous articles, books, courses, and workshops available to help researchers become proficient with SEM quickly. However, few resources are available to help users gain a deep understanding of the analytic steps involved in SEM, with even fewer providing reproducible syntax…
Descriptors: Structural Equation Models, Programming, Orthographic Symbols, Syntax
Paul Biberstein; Thomas Castleman; Luming Chen; Shriram Krishnamurthi – Informatics in Education, 2024
CODAP is a widely-used programming environment for secondary school data science. Its direct-manipulation-based design offers many advantages to learners, especially younger students. Unfortunately, these same advantages can become a liability when it comes to repeating operations consistently, replaying operations (for reproducibility), and also…
Descriptors: Data Science, Secondary School Students, Programming, Open Source Technology
Enze Chen; Mark Asta – Journal of Chemical Education, 2022
With the growing desire to incorporate data science and informatics into STEM curricula, there is an opportunity to integrate research-based software and tools (e.g., Python) within existing pedagogical methods to craft new, accessible learning experiences. We show how the open-source Jupyter Book software can achieve this goal by creating a…
Descriptors: Programming, Open Source Technology, STEM Education, Textbooks
Ardimento, Pasquale; Bernardi, Mario Luca; Cimitile, Marta; De Ruvo, Giuseppe – ACM Transactions on Computing Education, 2020
Novice programmers often encounter difficulties performing debugging tasks effectively. Even if modern development environments (IDEs) provide high-level support for navigating through code elements and for identifying the right conditions leading to the bug, debugging still requires considerable human effort. Programmers usually have to make…
Descriptors: Programming, Novices, Troubleshooting, Open Source Technology
Costello, Eamon; Johnston, Keith; Wade, Vincent – Interactive Learning Environments, 2023
This research investigated how the bug tracker database of the Virtual Learning Environment (VLE) Moodle is developed as an application of crowd work. The bug tracker is used by software developers, who write and maintain Moodle's code, but also by a wider public world of ordinary Moodle users who can report bugs. Despite many studies of the…
Descriptors: Electronic Learning, Educational Technology, Computer Software, Cooperation
Perrotta, Carlo – Research in Education, 2021
This article offers a case study of how platforms and predictive infrastructures are emerging in higher education. It examines a Learning Analytics Application Programming Interface (API) from a popular Learning Management System. The API is treated firstly as an artefact based on the computational abstraction of educational principles, and…
Descriptors: Learning Analytics, Programming, Programming Languages, Computer Interfaces
Haddaway, Neal R.; Grainger, Matthew J.; Gray, Charles T. – Research Synthesis Methods, 2022
Systematic searching aims to find all possibly relevant research from multiple sources, the basis for an unbiased and comprehensive evidence base. Along with bibliographic databases, systematic reviewers use a variety of additional methods to minimise procedural bias. Citation chasing exploits connections between research articles to identify…
Descriptors: Literature Reviews, Citation Analysis, Citations (References), Information Seeking
Gabbay, Hagit; Cohen, Anat – International Educational Data Mining Society, 2023
In MOOCs for programming, Automated Testing and Feedback (ATF) systems are frequently integrated, providing learners with immediate feedback on code assignments. The analysis of the large amounts of trace data collected by these systems may provide insights into learners' patterns of utilizing the automated feedback, which is crucial for the…
Descriptors: MOOCs, Feedback (Response), Teaching Methods, Learning Strategies
Gianmarc Grazioli; Adam Ingwerson; David Santiago Jr.; Patrick Regan; Heekun Cho – Journal of Chemical Education, 2023
Computational chemistry instructional activities are often based around students running chemical simulations via a graphical user interface (GUI). GUI-based activities offer many advantages, as they enable students to run chemical simulations with a few mouse clicks. Although these activities are excellent for introducing students to the…
Descriptors: Computation, Chemistry, Teaching Methods, Science Education
Krajcsi, Attila; Csapodi, Csaba; Stettner, Eleonóra – Interactive Learning Environments, 2021
An educational computer game is presented, used for beginner students to introduce some basic concepts of code execution and code writing. In this mini-language microworld game, a code should be written with which a robot can escape from a procedurally generated labyrinth. The game uses a simple language and utilizes a virtual environment, where…
Descriptors: Educational Games, Computer Games, Programming, Computer Science Education
Call, Tristan; Fox, Erik; Sprint, Gina – IEEE Transactions on Education, 2021
Contribution: Research has shown that computer science (CS) students who start programming assignments (PAs) early generally receive higher grades. This article presents and evaluates a gamification approach that utilizes software engineering tools to motivate CS students to start and finish PAs earlier. Background: CS can be difficult to learn…
Descriptors: Game Based Learning, Computer Software, Engineering, Computer Science Education
Dogucu, Mine; Çetinkaya-Rundel, Mine – Journal of Statistics and Data Science Education, 2022
It is recommended that teacher-scholars of data science adopt reproducible workflows in their research as scholars and teach reproducible workflows to their students. In this article, we propose a third dimension to reproducibility practices and recommend that regardless of whether they teach reproducibility in their courses or not, data science…
Descriptors: Statistics Education, Data Science, Teaching Methods, Instructional Materials
Weiss, Charles J. – Journal of Chemical Education, 2021
Scientific computing and computer literacy are increasingly important skills for chemistry students to learn, but despite this need, there is an absence of chemistry-specific texts available for teaching the subject. This article introduces a freely available textbook released under a Creative Commons license for use in an undergraduate scientific…
Descriptors: Science Instruction, Chemistry, College Science, Undergraduate Study
Arslan, Kürsat; Tanel, Zafer – Education and Information Technologies, 2021
The purpose of this study was to determine IT teacher candidates' attitudes, self-efficacy and opinions about educational robotic-based programming education. The participants of this study consisted of 2nd class students in Computer Education and Instructional Technologies department of a university in Turkey. The study group of the research…
Descriptors: Student Attitudes, Positive Attitudes, Self Efficacy, Computer Science Education
Westgate, Martin J. – Research Synthesis Methods, 2019
The field of evidence synthesis is growing rapidly, with a corresponding increase in the number of software tools and workflows to support the construction of systematic reviews, systematic maps, and meta-analyses. Despite much progress, however, a number of problems remain, including slow integration of new statistical or methodological…
Descriptors: Computer Software, Statistical Analysis, Meta Analysis, Users (Information)
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