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Gutiérrez, Luz E.; Guerrero, Carlos A.; López-Ospina, Héctor A. – Education and Information Technologies, 2022
This study describes the most relevant problems and solutions found in the literature on teaching and learning of object-oriented programming (OOP). The identification of the problem was based on tertiary studies from the IEEE Xplore, Scopus, ACM Digital Library and Science Direct repositories. The problems and solutions identified were ranked…
Descriptors: Programming, Comprehension, Computer Science Education, Computer Software
Tahir, Faiza; Mitrovic, Antonija; Sotardi, Valerie – Research and Practice in Technology Enhanced Learning, 2022
The practice of adding game elements to non-gaming educational environments has gained much popularity. Gamification has been shown in some studies to enhance engagement, motivation and learning outcomes in technology-supported learning environments. Although gamification research has matured, there are some shortcomings such as inconsistency in…
Descriptors: Recognition (Achievement), Credentials, Outcomes of Education, Programming Languages
Qian, Yizhou; Lehman, James – Journal of Research on Technology in Education, 2022
This study investigated common student errors and underlying difficulties of two groups of Chinese middle school students in an introductory Python programming course using data in the automated assessment tool (AAT) Mulberry. One group of students was from a typical middle school while the other group was from a high-ability middle school. By…
Descriptors: Middle School Students, Programming, Computer Science Education, Error Patterns
Ragonis, Noa; Shmallo, Ronit – Informatics in Education, 2022
Object-oriented programming distinguishes between instance attributes and methods and class attributes and methods, annotated by the "static" modifier. Novices encounter difficulty understanding the means and implications of "static" attributes and methods. The paper has two outcomes: (a) a detailed classification of aspects of…
Descriptors: Programming, Computer Science Education, Concept Formation, Thinking Skills
Bati, Kaan – Informatics in Education, 2022
This study reports the findings of a program that aims to develop pre-service science teachers' computational problem-solving skills and views on using information and communications technology in science education. To this end, pre-service science teachers were trained on computational thinking, computational problem solving, designing an…
Descriptors: Foreign Countries, Programming, Programming Languages, Technology Integration
Awaah, Fred; Okebukola, Peter; Shabani, Juma; Solarin, Daniel; Emmanuel Okyere, Ekwam – Cogent Education, 2022
The Culturo-Techno-Contextual Approach (CTCA) is a teaching method based on culture, technology, and context to ease difficulties in students' understanding of concepts. Python Programming as a concept in computer studies is difficult for students to understand at the secondary school level. This study investigates the efficacy of the CTCA in…
Descriptors: Teaching Methods, Computer Science Education, Programming Languages, Secondary School Students
Nongkhai, Lalita Na; Wang, Jingyun; Mendori, Takahiko – International Association for Development of the Information Society, 2022
This paper proposes the design of an ontology of multiple programming languages and give three examples to show the methodology. Our ontology aims to summarize the core of computational thinking logic by elaborating the concepts of three object-oriented programming languages in the industry: Python, Java, and C#. Therefore, the construction of the…
Descriptors: Programming Languages, Computer Science Education, Intelligent Tutoring Systems, Thinking Skills
Menon, Pratibha – Information Systems Education Journal, 2023
Instruction in an introductory programming course is typically designed to introduce new concepts and to review and integrate the more recent concepts with what was previously learned in the course. Therefore, most exam questions in an introductory programming course require students to write lines of code that contain syntactic elements…
Descriptors: Introductory Courses, Programming Languages, Computer Science Education, Correlation
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
Foust, James C.; Bradshaw, Katherine A. – Journalism and Mass Communication Educator, 2020
A census of Accrediting Council on Education in Journalism and Mass Communications (ACEJMC)-accredited journalism programs reveals that less than a quarter require students to learn code. Despite industry desires for journalists with coding skills, nearly 40% of the units offer no coding classes. Among programs that require code, most rely on a…
Descriptors: Programming, Journalism Education, Programming Languages, Accreditation (Institutions)
Green, Michael; Chen, Xiaobo – Journal of Chemical Education, 2020
For undergraduate students to be prepared for graduate school and industry, it is imperative that they understand how to merge the theoretical insights gleaned through their undergraduate education with the raw data sets acquired through materials analysis. Thus, the ability to implement data analysis is a vital skill that students should develop.…
Descriptors: Undergraduate Students, Data, Chemistry, Programming Languages
Construction and Analysis of a Decision Tree-Based Predictive Model for Learning Intervention Advice
Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
Daniele Traversaro; Giorgio Delzanno; Giovanna Guerrini – Informatics in Education, 2024
Concurrency is a complex to learn topic that is becoming more and more relevant, such that many undergraduate Computer Science curricula are introducing it in introductory programming courses. This paper investigates the combined use of Sonic Pi and Team-Based Learning to mitigate the difficulties in early exposure to concurrency. Sonic Pi, a…
Descriptors: Misconceptions, Programming Languages, Computer Science Education, Undergraduate Students
Ling Zhang – Pedagogical Research, 2024
In the face of the challenges posed by the COVID-19 pandemic, the hybrid teaching model has garnered significant attention for its combination of the depth of traditional education with the convenience of distance learning. Focusing on the domain of computer programming language instruction, this study innovatively designs a hybrid teaching…
Descriptors: COVID-19, Pandemics, Blended Learning, Programming Languages
Gwo-Haur Hwang; Beyin Chen; Shih-Pei Chen – Interactive Learning Environments, 2024
This study proposed a game-based flipped teaching approach and applied it to a HTML (HyperText Markup Language) course. We developed two versions of the pre-class content testing, one of which was game-based, using a "looking-through" game, and the other which was traditional, using a multiple-choice test. We conducted a teaching…
Descriptors: Flipped Classroom, Instructional Effectiveness, Teaching Methods, Prior Learning