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Menon, Pratibha – Journal of Information Systems Education, 2023
This paper introduces a teaching process to develop students' problem-solving and programming efficacy in an introductory computer programming course. The proposed teaching practice provides step-by-step guidelines on using worked-out examples of code to demonstrate the applications of programming concepts. These coding demonstrations explicitly…
Descriptors: Introductory Courses, Programming, Computer Science Education, Feedback (Response)
Fernandez-Gauna, Borja; Rojo, Naiara; Graña, Manuel – International Journal of Educational Technology in Higher Education, 2023
We describe an automated assessment process for team-coding assignments based on DevOps best practices. This system and methodology includes the definition of Team Performance Metrics measuring properties of the software developed by each team, and their correct use of DevOps techniques. It tracks the progress on each of metric by each group. The…
Descriptors: Computer Software, Programming, Coding, Teamwork
Karnalim, Oscar; Simon; Chivers, William; Panca, Billy Susanto – ACM Transactions on Computing Education, 2022
To help address programming plagiarism and collusion, students should be informed about acceptable practices and about program similarity, both coincidental and non-coincidental. However, current approaches are usually manual, brief, and delivered well before students are in a situation where they might commit academic misconduct. This article…
Descriptors: Computer Science Education, Programming, Plagiarism, Formative Evaluation
Kunemund, Rachel L.; Kennedy, Michael J.; Carlisle, Lindsay M.; VanUitert, Victoria J.; McDonald, Sean D. – Journal of Special Education Technology, 2022
All teachers need ongoing coaching that helps them recognize areas of strength and need for teaching students with disabilities. Unfortunately, the amount, quality, and speed with which teachers receive feedback from coaches, administrators, mentors, or other instructional leaders on their academic and behavior management practices is limited. In…
Descriptors: Faculty Development, Feedback (Response), Multimedia Materials, Coaching (Performance)
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
Miao, Dezhuang; Dong, Yu; Lu, Xuesong – International Educational Data Mining Society, 2020
In colleges, programming is increasingly becoming a general education course of almost all STEM majors as well as some art majors, resulting in an emerging demand for scalable programming education. To support scalable education, teaching activities such as grading and feedback have to be automated. Recently, online judge systems have been…
Descriptors: Programming, Prediction, Error Patterns, Models
Neyhart, Jeffrey L.; Watkins, Eric – Natural Sciences Education, 2020
Basic quantitative and population genetics topics are typically taught in introductory plant breeding courses and are critical for success in upper-level study. Active learning, including simulations and games, may be useful for instruction of these concepts, which rely heavily on theory and may be more challenging for students. The statistical…
Descriptors: Genetics, Active Learning, Teaching Methods, Plants (Botany)
Enhancement of the Command-Line Environment for Use in the Introductory Statistics Course and Beyond
Gerbing, David W. – Journal of Statistics and Data Science Education, 2021
R and Python are commonly used software languages for data analytics. Using these languages as the course software for the introductory course gives students practical skills for applying statistical concepts to data analysis. However, the reliance upon the command line is perceived by the typical nontechnical introductory student as sufficiently…
Descriptors: Statistics Education, Teaching Methods, Introductory Courses, Programming Languages
Dunbar, Kyle M.; Rich, Kathryn M. – Mathematics Teacher: Learning and Teaching PK-12, 2020
The aim of this article is to inspire more teachers to explore the use of codable robots for teaching mathematics. The authors begin by discussing four benefits experienced by incorporating robots into middle school mathematics classes: (1) reasonable time frames; (2) authentic purposes for mathematics; (3) visual and nonevaluative feedback; and…
Descriptors: Mathematics Instruction, Teaching Methods, Robotics, Middle School Mathematics
Green, Nancy L. – International Journal of Artificial Intelligence in Education, 2017
This paper describes an educational argument modeling system, GAIL (Genetics Argumentation Inquiry Learning). Using GAIL's graphical interface, learners can select from possible argument content elements (hypotheses, data, etc.) displayed on the screen with which to construct argument diagrams. Unlike previous systems, GAIL uses domain-independent…
Descriptors: Persuasive Discourse, Feedback (Response), Inquiry, Computer Assisted Instruction
Gregg, Nikole; Leventhal, Brian C. – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Nikole Gregg and Dr. Brian Leventhal discuss strategies to ensure data visualizations achieve graphical excellence. Data visualizations are commonly used by measurement professionals to communicate results to examinees, the public, educators, and other stakeholders. To do so effectively, it is important that these…
Descriptors: Data Analysis, Evidence Based Practice, Visualization, Test Results
Jerše, Gregor; Lokar, Matija – International Journal for Technology in Mathematics Education, 2017
The emphasis in several courses at technical faculties is on using a computer to perform numerical methods. Instead of focusing on mathematical rigorousness such courses usually concentrate on demonstrating the practical usage of numerical mathematical methods to the students. The practical usage of numerical methods is best learned by exposing…
Descriptors: Computer Uses in Education, Computer Science Education, Programming, Mathematical Applications
O'Brien, Myles – The EUROCALL Review, 2017
A system for authoring browser-based CALL material incorporating Google speech recognition has been developed and made freely available for download. The system provides a teacher with a simple way to set up CALL material, including an optional image, sound or video, which will elicit spoken (and/or typed) answers from the user and check them…
Descriptors: Computer Assisted Instruction, Educational Technology, Second Language Instruction, Computational Linguistics
Petit, Jordi; Roura, Salvador; Carmona, Josep; Cortadella, Jordi; Duch, Jordi; Giménez, Omer; Mani, Anaga; Mas, Jan; Rodríguez-Carbonell, Enric; Rubio, Enric; de San Pedro, Enric; Venkataramani, Divya – IEEE Transactions on Learning Technologies, 2018
Jutge.org is an open educational online programming judge designed for students and instructors, featuring a repository of problems that is well organized by courses, topics, and difficulty. Internally, Jutge.org uses a secure and efficient architecture and integrates modern verification techniques, formal methods, static code analysis, and data…
Descriptors: Programming, Computer Science Education, Electronic Learning, Experiential Learning
Donna Rennar-Potacco; Anymir Orellana; Rita Ramirez-Levine – International Journal of Designs for Learning, 2020
This design case describes design decisions and their impacts during three redesigns of an educational game called the "Rocks and Minerals Challenge." This game was developed as a laboratory supplement for the rocks and minerals component of a university-based geology course. The game has evolved through three distinct design phases:…
Descriptors: Game Based Learning, Educational Games, Geology, College Science