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Download full textVáclav Šimandl; Jirí Vanícek; Václav Dobiáš – Informatics in Education, 2025
Research on collaborative learning of computer science has been conducted primarily in programming. This paper extends this area by including short tasks (such as those used in contests like the Bebras Challenge) that cover many other computer science topics. The aim of this research is to explore how problem-solving in pairs differs from…
Descriptors: Cooperative Learning, Problem Solving, Computer Science, Computer Science Education
Arif Ainur Rafiq; Mochamad Bruri Triyono; Istanto Wahyu Djatmiko; Ratna Wardani; Thomas Köhler – Informatics in Education, 2023
In today's world, the ability to think computationally is essential. The skillset expected of a computer scientist is no longer solely based on the old stereotype but also a crucial skill for adapting to the future. This perspective presents a new educational challenge for society. Everyone must have a positive attitude toward understanding and…
Descriptors: Computation, Thinking Skills, Bibliometrics, Computer Science
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
Chukhnov, Anton; Maytarattanakhon, Athit; Posov, Ilya; Pozdniakov, Sergei – Informatics in Education, 2020
The paper discusses a certain type of competitions based on distance interaction of a participant with simulation models of concepts from discrete mathematics and computer science. One of them is the "Construct, Test, Explore" (CTE) competition, developed by the authors, the other is the Olympiad in Discrete Mathematics and Theoretical…
Descriptors: Graphs, Computer Simulation, Mathematics, Computer Science
Canedo, Edna Dias; Santos, Giovanni Almeida; Leite, Leticia Lopes – Informatics in Education, 2018
The teaching-learning methodology adopted in the Introduction to Computer Science classes may be a process that makes it difficult to understand the principles of programming language for undergraduate students in Computer Science and related areas, generating high failure and course drop out rates. This paper presents an analysis of the results…
Descriptors: Teaching Methods, Introductory Courses, Programming, Programming Languages
Rinderknecht, Christian – Informatics in Education, 2011
When first introduced to the analysis of algorithms, students are taught how to assess the best and worst cases, whereas the mean and amortized costs are considered advanced topics, usually saved for graduates. When presenting the latter, aggregate analysis is explained first because it is the most intuitive kind of amortized analysis, often…
Descriptors: Computation, Computer Software, Undergraduate Study, Teaching Methods
