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Nikola M. Luburic; Luka Z. Doric; Jelena J. Slivka; Dragan Lj. Vidakovic; Katarina-Glorija G. Grujic; Aleksandar D. Kovacevic; Simona B. Prokic – IEEE Transactions on Learning Technologies, 2025
Software engineers are tasked with writing functionally correct code of high quality. Maintainability is a crucial code quality attribute that determines the ease of analyzing, modifying, reusing, and testing a software component. This quality attribute significantly affects the software's lifetime cost, contributing to developer productivity and…
Descriptors: Intelligent Tutoring Systems, Coding, Computer Software, Technical Occupations
Kaitlyn Storm; Jerry Zhang; Eileen Haase – Biomedical Engineering Education, 2022
Our first year biomedical engineering course exposes students to multiple engineering and design techniques within an overarching theme of understanding health inequity. Currently, the semester-long curriculum excludes computational methods such as Python programming and Machine Learning, which are usually not introduced until more advanced BME…
Descriptors: Artificial Intelligence, Programming Languages, Learning Modules, Introductory Courses
Baker-Doyle, Kira J. – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2018
This article is a commentary essay that uses the connected learning framework (Ito et al., 2013) as a lens to explore the relationship between making, coding, and critical literacy in the context of literacy teacher education. Critical literacy theorists have argued that it is important to understand the perspective and positionality of an author…
Descriptors: Coding, Programming, Computer Science Education, Reflection
Colon-Acosta, Nirmaliz – ProQuest LLC, 2019
As new introductory block-based coding applications for young students to learn basic computer science concepts, such as, loops and conditionals, continue to increase in popularity, it is necessary to consider the best method of teaching students these skills. Many of these products continue to exhibit programmatic misconceptions of these concepts…
Descriptors: Coding, Game Based Learning, Instructional Effectiveness, Programming Languages
Gabriele, Lorella; Bertacchini, Francesca; Tavernise, Assunta; Vaca-Cárdenas, Leticia; Pantano, Pietro; Bilotta, Eleonora – Informatics in Education, 2019
In the last years, a growing trend in different educational contexts focused on Computational Thinking (CT) skills acquisition for both in-service teachers and students. But very low attention has been paid to pre-service teachers' education in regards to CT skills. To solve this issue, an empirical experimentation has been carried out with 141…
Descriptors: Foreign Countries, Lesson Plans, Computation, Thinking Skills
Waite, Jane Lisa; Curzon, Paul; Marsh, William; Sentance, Sue; Hadwen-Bennett, Alex – Online Submission, 2018
Research indicates that understanding levels of abstraction (LOA) and being able to move between the levels is essential to programming success. For K-5 contexts we rename the LOA levels: problem, design, code and running the code. In our qualitative exploratory study, we interviewed five K-5 teachers on their uses of LOA, particularly the design…
Descriptors: Elementary School Teachers, Computer Science Education, Programming, Abstract Reasoning
Park, Thomas H.; Dorn, Brian; Forte, Andrea – ACM Transactions on Computing Education, 2015
Many people are first exposed to code through web development, yet little is known about the barriers beginners face in these formative experiences. In this article, we describe a study of undergraduate students enrolled in an introductory web development course taken by both computing majors and general education students. Using data collected…
Descriptors: Programming Languages, Computer Science Education, Hypermedia, Web Sites
Sykes, Edward R. – Technology, Instruction, Cognition and Learning, 2010
The Java Intelligent Tutoring System (JITS) research project explored the power of a new approach to supporting beginner Java programming students. Using Java's grammar as the core of its production rule base, JITS is embedded with extra functionality to detect, predict and correct lexicographical errors in students' code. This additional…
Descriptors: Programming Languages, Intelligent Tutoring Systems, Design, Programming