NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 44 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ritter, Frauke; Standl, Bernhard – Informatics in Education, 2023
We live in a digital age, not least accelerated by the COVID-19 pandemic. It is all the more important in our society that students learn and master the key competence of algorithmic thinking to understand the informatics concepts behind every digital phenomena and thus is able to actively shape the future. For this to be successful, concepts must…
Descriptors: Algorithms, Information Science Education, Computer Science Education, COVID-19
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Informatics in Education, 2023
Prior programming knowledge of students has a major impact on introductory programming courses. Those with prior experience often seem to breeze through the course. Those without prior experience see others breeze through the course and disengage from the material or drop out. The purpose of this study is to demonstrate that novice student…
Descriptors: Prior Learning, Programming, Computer Science Education, Markov Processes
Peer reviewed Peer reviewed
PDF on ERIC Download full text
João Piedade; Nuno Dorotea – Informatics in Education, 2023
Computational Thinking (CT) has emerged in recent years as a thematic trend in education in many countries and several initiatives have been developed for its inclusion in school curricula. There are many pedagogical strategies to promote the development of elementary school students' CT skills and knowledge. Unplugged learning tasks, block-based…
Descriptors: Programming, Programming Languages, Grade 4, Elementary School Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Diego E. F. Pereira; Rodrigo D. Seabra – Informatics in Education, 2023
The teaching and learning of programming has proven to be a challenge for students of computer courses, since it presents challenges and requires complex skills for the good development of students. The traditional teaching model is not able to motivate students and arouse their interest in the topic. The tool proposed herein, the REA-LP, aims to…
Descriptors: Open Educational Resources, Algorithms, Programming, Computer Science Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Regina Célia Coelho; Matheus F. P. Marques; Tiago de Oliveira – Informatics in Education, 2023
Learning programming logic remains an obstacle for students from different academic fields. Considered one of the essential disciplines in the field of Science and Technology, it is vital to investigate the new tools or techniques used in the teaching and learning of Programming Language. This work presents a systematic literature review (SLR) on…
Descriptors: Electronic Learning, Programming, Computer Science Education, Logical Thinking
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Erkki Kaila; Kjell Lemström – Informatics in Education, 2023
Massive Open Online Courses (MOOCs) have become hugely popular recently. MOOCs can offer high-quality education for anyone interested and equalize the whole education field. Still, there are different methodologies for running MOOCs. Coming up with the most suitable methodology benefits both students and teachers. In this study, we have limited…
Descriptors: MOOCs, Scheduling, Programming Languages, Programming
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Eloy, Adelmo; Achutti, Camila F.; Fernandez, Cassia; Lopes, Roseli de Deus – Informatics in Education, 2022
Integrating computational thinking into K-12 Education has been a widely explored topic in recent years. Particularly, effective assessment of computational thinking can support the understanding of how learners develop computational concepts and practices. Aiming to help advance research on this topic, we propose a data-driven approach to assess…
Descriptors: Computation, Thinking Skills, Learning Processes, Evaluation Methods
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Bubica, Nikolina; Boljat, Ivica – Informatics in Education, 2022
The new Croatian Informatics curriculum, which introduces computational thinking concepts into learning outcomes has been put into practice. A computational thinking assessment model reflecting the learning outcomes of the Croatian curriculum was created using an evidence-centered design approach. The possibility of assessing the computational…
Descriptors: Thinking Skills, Foreign Countries, Information Science Education, Computer Science Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mirolo, Claudio; Izu, Cruz; Lonati, Violetta; Scapin, Emanuele – Informatics in Education, 2021
When we "think like a computer scientist," we are able to systematically solve problems in different fields, create software applications that support various needs, and design artefacts that model complex systems. Abstraction is a soft skill embedded in all those endeavours, being a main cornerstone of computational thinking. Our…
Descriptors: Computer Science Education, Soft Skills, Thinking Skills, Abstract Reasoning
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Sbaraglia, Marco; Lodi, Michael; Martini, Simone – Informatics in Education, 2021
Introductory programming courses (CS1) are difficult for novices. Inspired by "Problem solving followed by instruction" and "Productive Failure" approaches, we define an original "necessity-driven" learning design. Students are put in an apparently well-known situation, but this time they miss an essential ingredient…
Descriptors: Programming, Introductory Courses, Computer Science Education, Programming Languages
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Dorodchi, Mohsen; Dehbozorgi, Nasrin; Fallahian, Mohammadali; Pouriyeh, Seyedamin – Informatics in Education, 2021
Teaching software engineering (SWE) as a core computer science course (ACM, 2013) is a challenging task. The challenge lies in the emphasis on what a large-scale software means, implementing teamwork, and teaching abstraction in software design while simultaneously engaging students into reasonable coding tasks. The abstraction of the system…
Descriptors: Computer Science Education, Computer Software, Teaching Methods, Undergraduate Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Haglund, Pontus; Strömbäck, Filip; Mannila, Linda – Informatics in Education, 2021
Controlling complexity through the use of abstractions is a critical part of problem solving in programming. Thus, becoming proficient with procedural and data abstraction through the use of user-defined functions is important. Properly using functions for abstraction involves a number of other core concepts, such as parameter passing, scope and…
Descriptors: Computer Science Education, Programming, Programming Languages, Problem Solving
Previous Page | Next Page »
Pages: 1  |  2  |  3