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Muldner, Kasia; Jennings, Jay; Chiarelli, Veronica – ACM Transactions on Computing Education, 2023
This article reviews literature on worked examples in the context of programming activities. We focus on two types of examples, namely, code-tracing and code-generation, because there is sufficient research on these to warrant a review. We synthesize key results according to themes that emerged from the review. This synthesis aims to provide…
Descriptors: Problem Solving, Programming, Computer Science Education, Literature Reviews
Adam V. Maltese; Kelli M. Paul; Bárbara Yarza; Lauren Penney – Educational Technology Research and Development, 2024
In this manuscript, we describe a coding club we created and implemented during the COVID-19 pandemic. We were purposeful in creating the club to: (a) focus on design and problem solving as the basis for learning computer coding and (b) include elements to improve the engagement of girls. We ran multiple iterations of a Girls Design with Code Club…
Descriptors: Clubs, Females, Design, Problem Solving
Valerie Critten; Hannah Hagon; Melike Aslan Unlu – International Journal of Computer Science Education in Schools, 2024
In light of current developments, there is an increasing effort to integrate computing-oriented activities into the education of children as young as two years old. Although the computing strand is not officially addressed in the Early Years Foundation Stage Statutory Framework (DfES, 2024), a small number of early years teachers in England…
Descriptors: Foreign Countries, Early Childhood Education, Computation, Problem Solving
Laurent Cervoni; Julien Brasseur – International Association for Development of the Information Society, 2022
A Prolog program consists of a set of facts and rules rather than imperative statements, commonly used in most other programming languages. Therefore, the Prolog language is used to encode logic, from which the inference engine deduces logical conclusions. In this article, we argue that the use of the Prolog language can be useful to help students…
Descriptors: Teaching Methods, Mathematics Instruction, Problem Solving, Programming Languages
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
Peel, Amanda; Sadler, Troy D.; Friedrichsen, Patricia – Journal of Science Education and Technology, 2022
Computing has become essential in modern-day problem-solving, making computational literacy necessary for practicing scientists and engineers. However, K-12 science education has not reflected this computational shift. Integrating computational thinking (CT) into core science courses is an avenue that can build computational literacies in all…
Descriptors: Computation, Thinking Skills, Problem Solving, Science Education
Peter Curtis; Brett Moffett; David A. Martin – Australian Primary Mathematics Classroom, 2024
In this article, the authors explore how the 3C Model can be used to integrate other curriculum areas with mathematics, namely digital technologies. To illustrate the model, they provide a practical example of a teaching sequence. T he 3C Model is designed to create opportunities for applying reasoning and problem-solving skills and learning…
Descriptors: Models, Computer Software, Problem Solving, Mathematics Instruction
Denning, Peter J.; Tedre, Matti – Informatics in Education, 2021
Over its short disciplinary history, computing has seen a stunning number of descriptions of the field's characteristic ways of thinking and practicing, under a large number of different labels. One of the more recent variants, notably in the context of K-12 education, is "computational thinking", which became popular in the early 2000s,…
Descriptors: Thinking Skills, Computation, Computer Science, Mathematics
Iserte, Sergio; Tomas, Vicente R.; Perez, Miguel; Castillo, Maribel; Boronat, Pablo; Garcia, Luis A. – IEEE Transactions on Education, 2023
Team project-based learning (TPBL) combines two learning techniques: 1) project-based learning (PBL) and 2) teamwork. This combination leverages the learning outcomes of both methods and places students in a real work situation where they must develop and solve a real project while working as a team. TPBL has been used in two advanced database…
Descriptors: Cooperative Learning, Student Projects, Active Learning, Teamwork
Villamor, Maureen M. – Research and Practice in Technology Enhanced Learning, 2020
High attrition and dropout rates are common in introductory programming courses. One of the reasons students drop out is loss of motivation due to the lack of feedback and proper assessment of their progress. Hence, a process-oriented approach is needed in assessing programming progress, which entails examining and measuring students' compilation…
Descriptors: Novices, Problem Solving, Computer Science Education, Introductory Courses
Caeli, Elisa Nadire; Yadav, Aman – TechTrends: Linking Research and Practice to Improve Learning, 2020
In the recent years, there has been a push to engage primary and secondary students in computer science to prepare them to live and work in a world influenced by computation. One of the efforts involves getting primary and secondary students to think computationally by introducing computational ideas such as, algorithms and abstraction. Majority…
Descriptors: Thinking Skills, Elementary School Students, Secondary School Students, Problem Solving
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
Allbee, Quinn; Barber, Robert – Biochemistry and Molecular Biology Education, 2021
Biology is a data-driven discipline facilitated greatly by computer programming skills. This article describes an introductory experiential programming activity that can be integrated into distance learning environments. Students are asked to develop their own Python programs to identify the nature of alleles linked to disease. This activity…
Descriptors: Genetics, Science Instruction, Programming Languages, Biology
Shilo, Gila; Ragonis, Noa – Journal of Further and Higher Education, 2019
A central issue in the design of curricula for all school levels is the development of the learners' high-order thinking skills and metacognitive skills. Among such required skills is the ability to solve problems. The literature dealing with the development of problem-solving skills is vast and primarily addresses the scientific disciplines, even…
Descriptors: Thinking Skills, Metacognition, Problem Solving, Linguistics
Kiraly, Sandor; Balla, Tamas – Acta Didactica Napocensia, 2020
Our online programming language courses have been developed for youngsters who are interested in computer programming. The courses were gamified with some common gamification elements: points, badges, incentives, immediate feedback and leaderboard. The developed Learning Management System (LMS) for our learning portal provides the chance to…
Descriptors: Programming, Computer Science Education, Educational Games, Online Courses