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Michael Kolling – Informatics in Education, 2024
The principles of programming language design for learning and teaching have been described and discussed for several decades. Most influential was the work of Niklaus Wirth, describing principles such as simplicity, modularity, orthogonality, and readability. So why is this still an area of fundamental disagreement among educators? Why can…
Descriptors: Programming Languages, Design, Novices, Computer Science Education
Marjahan Begum; Pontus Haglund; Ari Korhonen; Violetta Lonati; Mattia Monga; Filip Strömbäck; Artturi Tilanterä – Informatics in Education, 2024
There can be many reasons why students fail to answer correctly to summative tests in advanced computer science courses: often the cause is a lack of prerequisites or misconceptions about topics presented in previous courses. One of the ITiCSE 2020 working groups investigated the possibility of designing assessments suitable for differentiating…
Descriptors: Foreign Countries, College Students, Prerequisites, Computer Science Education
Antti-Jussi Lakanen; Ville Isomöttönen – Informatics in Education, 2023
This research investigates university students' success in their first programming course (CS1) in relation to their motivation, mathematical ability, programming self-efficacy, and initial goal setting. To our knowledge, these constructs have not been measured in a single study before in the Finnish context. The selection of the constructs is in…
Descriptors: Foreign Countries, College Students, Student Motivation, Self Efficacy
Strömbäck, Filip; Mannila, Linda; Kamkar, Mariam – Informatics in Education, 2021
Concurrency is often perceived as difficult by students. One reason for this may be due to the fact that abstractions used in concurrent programs leave more situations undefined compared to sequential programs (e.g., in what order statements are executed), which makes it harder to create a proper mental model of the execution environment. Students…
Descriptors: College Students, Programming, Programming Languages, Concept Formation
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
Felienne Hermans – Informatics in Education, 2024
This autoethnographic paper is part of a special issue trying to answer the question "How to design or choose languages for programming novices?" I will describe how my programming language Hedy was created, how the initial design goals were formed, how my perspectives on learning and teaching changed along the way, and how Hedy changed…
Descriptors: Decision Making, Programming Languages, Novices, Computer Science Education
Arjan J. F. Kok; Lex Bijlsma; Cornelis Huizing; Ruurd Kuiper; Harrie Passier – Informatics in Education, 2024
This paper presents the first experiences of the use of an online open-source repository with programming exercises. The repository is independent of any specific teaching approach. Students can search for and select an exercise that trains the programming concepts that they want to train and that only uses the programming concepts they already…
Descriptors: Programming Languages, Computer Science Education, Open Source Technology, Teaching Methods
Felipe A. Feichas; Rodrigo D. Seabra – Informatics in Education, 2023
This research discusses the use of a gamified web platform for studying software modeling with Unified Modeling Language (UML). Although UML is constantly being improved and studied, many works show that there is difficulty in teaching and learning the subject, due to the complexity of its concepts and the students' cognitive difficulties with…
Descriptors: Gamification, Computer Software, Models, Teaching Methods
Peixoto, Maria Joelma; Duarte, Paulo A. S.; Araújo, Pedro T.; Pinto, Pedro I. C.; Sarmento, Wellington W. F.; Trinta, Fernando A. M.; Viana, Windson – Informatics in Education, 2020
Mark Weiser coined the term Ubiquitous Computing (UbiComp) describing a future in which everyday life-objects would have embedded computers providing services anytime and anywhere. This paradigm is theme recurrent in many graduate courses of Computer Science around the world. To better understand the challenge of teaching Ubiquitous Computing…
Descriptors: Computer Science Education, Teaching Methods, Handheld Devices, Measurement Equipment
Taslibeyaz, Elif; Kursun, Engin; Karaman, Selcuk – Informatics in Education, 2020
The primary purpose of this study is to investigate CT skills development process in learning environments. It is also aimed to determine the conceptual understanding and measurement approaches in the studies. To achieve these aims, a systematic research review methodology was implemented as the research design. Empirical studies on computational…
Descriptors: Thinking Skills, Skill Development, Problem Solving, Programming
Mathew, Roy; Malik, Sohail Iqbal; Tawafak, Ragad Moufaq – Informatics in Education, 2019
Problem solving skills are considered an important component in learning to program in an introductory programming (IP) course for novices. This study introduced a PROSOLVE game to enhance problem solving skills of novice programmers in the introductory programming course. The game is based on pseudo-code technique. A survey was employed to…
Descriptors: Problem Solving, Skill Development, Educational Games, Game Based Learning
Aleksic, Veljko; Ivanovic, Mirjana – Informatics in Education, 2016
Programming is one of the basic subjects in most informatics, computer science mathematics and technical faculties' curricula. Integrated overview of the models for teaching programming, problems in teaching and suggested solutions were presented in this paper. Research covered current state of 1019 programming subjects in 715 study programmes at…
Descriptors: Foreign Countries, Programming, Computer Science Education, Introductory Courses
Brilingaite, Agne; Bukauskas, Linas; Juškeviciene, Anita – Informatics in Education, 2018
The rapid development of new technologies requires a new set of skills from all users in operating, using, and maintaining digitised environments. Curriculum design in the field of Information and Communication Technologies (ICT) undergoes a rapid change as technological achievements do influence education. The aim of the article was to present…
Descriptors: Problem Based Learning, Information Technology, Computer Science Education, Taxonomy
Boberic-Krsticev, Danijela; Tešendic, Danijela – Informatics in Education, 2013
The paper elaborates on experiences and lessons learned from the course on object-oriented analyses and design at the Faculty of Sciences, Novi Sad. The course on OOAD is taught to students of computer science and to the students of mathematical programme. Conclusions made in this paper are based on results of students' assignments as well as…
Descriptors: Foreign Countries, Computer Science Education, Programming, College Students
Yang, Sojung; Park, Seongbin – Informatics in Education, 2014
There are many important issues in informatics and many agree that algorithms and programming are most important issues that need to be included in informatics education (Dagiene and Jevsikova, 2012). In this paper, we propose how some of these issues can be easily taught using the notion of a formal system which consists of axioms and inference…
Descriptors: Information Science, Teaching Methods, Inferences, Validity
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