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Judith Galezer; Smadar Szekely – Informatics in Education, 2024
Spark, one of the products offered by MyQ (formerly Plethora), is a game-based platform meticulously designed to introduce students to the foundational concepts of computer science. By navigating through logical challenges, users delve into topics like abstraction, loops, and graph patterns. Setting itself apart from its counterparts, Spark boasts…
Descriptors: Learning Management Systems, Game Based Learning, Computer Science Education, Teaching Methods
Peabody, Michael R. – Measurement: Interdisciplinary Research and Perspectives, 2023
Many organizations utilize some form of automation in the test assembly process; either fully algorithmic or heuristically constructed. However, one issue with heuristic models is that when the test assembly problem changes the entire model may need to be re-conceptualized and recoded. In contrast, mixed-integer programming (MIP) is a mathematical…
Descriptors: Programming Languages, Algorithms, Heuristics, Mathematical Models
Kuroki, Masanori – Journal of Economic Education, 2023
As vast amounts of data have become available in business in recent years, the demand for data scientists has been rising. The author of this article provides a tutorial on how one entry-level machine learning competition from Kaggle, an online community for data scientists, can be integrated into an undergraduate econometrics course as an…
Descriptors: Statistics Education, Teaching Methods, Competition, Prediction
Tsung-Chih Hsiao; Ya-Hsueh Chuang; Chien-Yun Chang; Tzer-Long Chen; Hong-Bo Zhang; Jhih-Chung Chang – SAGE Open, 2023
The capability of computer programming language logic is one of the basics of technical education. How to improve students "interest in program logic design and help overcome students" fears of coding has become vital for educators. Cultivating practical talents with information technology application and basic programming development…
Descriptors: Computer Science Education, Computation, Thinking Skills, Programming
Hoffman, Heather J.; Elmi, Angelo F. – Journal of Statistics and Data Science Education, 2021
Teaching students statistical programming languages while simultaneously teaching them how to debug erroneous code is challenging. The traditional programming course focuses on error-free learning in class while students' experiences outside of class typically involve error-full learning. While error-free teaching consists of focused lectures…
Descriptors: Statistics Education, Programming Languages, Troubleshooting, Coding
Phillips, A. M.; Gouvea, E. J.; Gravel, B. E.; Beachemin, P. -H.; Atherton, T. J. – Physical Review Physics Education Research, 2023
Computation is intertwined with essentially all aspects of physics research and is invaluable for physicists' careers. Despite its disciplinary importance, integration of computation into physics education remains a challenge and, moreover, has tended to be constructed narrowly as a route to solving physics problems. Here, we broaden Physics…
Descriptors: Physics, Science Instruction, Teaching Methods, Models
Valentina Dagiene; Gintautas Grigas; Tatjana Jevsikova – Informatics in Education, 2024
The work of Niklaus Wirth, designer of the Pascal programming language, has led to the introduction of programming in schools in many countries often leading to a transformation in the way of thinking. In this article, we provide a retrospective analysis of the Lithuanian experience driven by Pascal and discuss the main ideas about teaching…
Descriptors: Programming Languages, Computer Science Education, Foreign Countries, Programming
Hosseini, Roya; Akhuseyinoglu, Kamil; Brusilovsky, Peter; Malmi, Lauri; Pollari-Malmi, Kerttu; Schunn, Christian; Sirkiä, Teemu – International Journal of Artificial Intelligence in Education, 2020
This research is focused on how to support students' acquisition of program construction skills through worked examples. Although examples have been consistently proven to be valuable for student's learning, the learning technology for computer science education lacks program construction examples with interactive elements that could engage…
Descriptors: Programming, Computer Science Education, Problem Solving, Learner Engagement
Gough, John – Australian Primary Mathematics Classroom, 2018
In fact, ever since Seymour Papert (famous in his later years for constructionism, a learning theory that married conceptual constructivism with concrete experience) created Logo programming, many schools have been coding using Logo, the educational computer programming software that has the famous 'turtle' on the computer screen. Importantly,…
Descriptors: Coding, Programming, Programming Languages, Computer Software
Solin, Pavel; Roanes-Lozano, Eugenio – International Journal for Technology in Mathematics Education, 2020
Many mathematics educators are not aware of a strong connection that exists between the education of computer programming and mathematics. The reason may be that they have not been exposed to computer programming. This connection is worth exploring, given the current trends of automation and Industry 4.0. Therefore, in this paper we take a closer…
Descriptors: Computer Science Education, Mathematics Education, Programming Languages, Interdisciplinary Approach
Sapounidis, Theodosios; Stamovlasis, Dimitrios; Demetriadis, Stavros – IEEE Transactions on Education, 2019
Contribution: Prior studies on tangible versus graphical user interfaces have reported controversial findings concerning children's preferences. This paper shows that their preference profiles in the domain of introductory programming are associated with gender and age for both interfaces. Background: The relevant literature mainly consists of…
Descriptors: Preferences, Profiles, Robotics, Introductory Courses
Donoghue, John R. – ETS Research Report Series, 2015
At the heart of van der Linden's approach to automated test assembly (ATA) is a linear programming/integer programming (LP/IP) problem. A variety of IP solvers are available, ranging in cost from free to hundreds of thousands of dollars. In this paper, I compare several approaches to solving the underlying IP problem. These approaches range from…
Descriptors: Automation, Test Construction, Comparative Analysis, Programming
Fronza, Ilenia; Corral, Luis; Pahl, Claus – Journal of Information Technology Education: Research, 2020
Aim/Purpose: This work aims to introduce and evaluate an instructional strategy that aids end-users with developing their software products during intensive project-based events. Background: End-users produce software in the labor market, and one of the challenges for End-User Software Engineering (EUSE) is the need to create functional software…
Descriptors: Teaching Methods, Computer Software, Computer Science Education, Student Projects
Suters, Leslie; Suters, Henry; Anderson, Adam – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2021
This paper describes a 54-hour summer institute for grades 6-12 mathematics and science teachers (N = 19) with a comprehensive approach to preparing teachers to use computational thinking (CT) in their classrooms, including training in Python computer programming with Lego® Mindstorms® robotics, mathematics content sessions, and opportunities to…
Descriptors: Algebra, Mathematics Instruction, Pedagogical Content Knowledge, Programming
Geng, Jianming; Chen, Kaiyuan; Wang, Nengxin; Ling, Sihan; Guo, Muqi; Huang, Zuyi – Chemical Engineering Education, 2019
US high school (HS) students are lagging behind their foreign peers in math performance. It is thus necessary to design teaching modules that motivate US HS students to learn more math and to improve their math skills. Our study set out to test two different software programs designed for the development of such skills. MATLAB Simulink provides a…
Descriptors: High School Students, Secondary School Mathematics, Mathematics Education, Computer Software