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Rauber, Marcelo Fernando; Gresse Von Wangenheim, Christiane – Informatics in Education, 2023
Although Machine Learning (ML) has already become part of our daily lives, few are familiar with this technology. Thus, in order to help students to understand ML, its potential, and limitations and to empower them to become creators of intelligent solutions, diverse courses for teaching ML in K-12 have emerged. Yet, a question less considered is…
Descriptors: Artificial Intelligence, Technology Education, Elementary Secondary Education, Educational Strategies
Costa, Ana Carolina Ferreira; Santos, Vitor Homem de Mello; de Oliveira, Otávio José – Informatics in Education, 2022
Education 4.0 (E4) aims to improve the teaching-learning process and democratize access to quality education by using Industry 4.0 technologies in educational environments. The main objective of this article is to propose a framework containing a package of policies and initiatives for the drivers of society (industry, government, and academia) to…
Descriptors: Educational Change, Educational Quality, Educational Improvement, Democracy
Gresse Von Wangenheim, Christiane; Da Cruz Alves, Nathalia; Rauber, Marcelo F.; Hauck, Jean C. R.; Yeter, Ibrahim H. – Informatics in Education, 2022
Although Machine Learning (ML) is used already in our daily lives, few are familiar with the technology. This poses new challenges for students to understand ML, its potential, and limitations as well as to empower them to become creators of intelligent solutions. To effectively guide the learning of ML, this article proposes a scoring rubric for…
Descriptors: Performance Based Assessment, Artificial Intelligence, Learning Processes, Scoring Rubrics
Géssica, Lehmkuhl; Christiane, Gresse von Wangenheim; Martins-Pacheco, Lúcia Helena; Borgatto, Adriano F.; da Cruz Alves, Nathalia – Informatics in Education, 2021
In today's society, creativity plays a key role, emphasizing the importance of its development in K-12 education. Computing education may be an alternative for students to extend their creativity by solving problems and creating computational artifacts. Yet, there is little systematic evidence available to support this claim, also due to the lack…
Descriptors: Models, Self Evaluation (Individuals), Creativity, Computer Science Education
Panskyi, Taras; Korzeniewska, Ewa – Informatics in Education, 2021
In Poland, talent development is organized mainly outside or alongside the educational system. A large number of privately funded informatics contests and extra-curricular talent development programs for highly motivated students are available. However, traditional competitions also exist including national informatics Olympiads and competitions…
Descriptors: Foreign Countries, Competition, Information Science Education, Talent Development
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
Dagiene, Valentina; Hromkovic, Juraj; Lacher, Regula – Informatics in Education, 2021
Computing as a discipline has common roots with mathematics and written languages, and computing as a way of thinking and handling has been integral to human culture since ever. This is not only a reasonable argument for convincing society to consider informatics as one of the very fundamental pillars of education, but it also puts the potential…
Descriptors: Information Science Education, Curriculum Development, Elementary Secondary Education, Constructivism (Learning)
Terzopoulos, George; Satratzemi, Maya – Informatics in Education, 2020
In recent years, Artificial Intelligence (AI) has shown significant progress and its potential is growing. An application area of AI is Natural Language Processing (NLP). Voice assistants incorporate AI by using cloud computing and can communicate with the users in natural language. Voice assistants are easy to use and thus there are millions of…
Descriptors: Artificial Intelligence, Natural Language Processing, Assistive Technology, Technology Uses in Education
Marques, Lívia S.; Gresse von Wangenheim, Christiane; Hauck, Jean – Informatics in Education, 2020
Although Machine Learning (ML) is integrated today into various aspects of our lives, few understand the technology behind it. This presents new challenges to extend computing education early to ML concepts helping students to understand its potential and limits. Thus, in order to obtain an overview of the state of the art on teaching Machine…
Descriptors: Artificial Intelligence, Man Machine Systems, Elementary Secondary Education, Educational Technology
Palts, Tauno; Pedaste, Margus – Informatics in Education, 2020
Computer science concepts have an important part in other subjects and thinking computationally is being recognized as an important skill for everyone, which leads to the increasing interest in developing computational thinking (CT) as early as at the comprehensive school level. Therefore, research is needed to have a common understanding of CT…
Descriptors: Models, Skill Development, Computation, Thinking Skills
Da Cruz Alves, Nathalia; Gresse Von Wangenheim, Christiane; C.R. Hauck, Jean – Informatics in Education, 2019
As computing has become an integral part of our world, demand for teaching computational thinking in K-12 has increased. One of its basic competences is programming, often taught by learning activities without a predefined solution using block-based visual programming languages. Automatic assessment tools can support teachers with their assessment…
Descriptors: Computation, Thinking Skills, Competence, Elementary Secondary Education
von Wangenheim, Christiane Gresse; Hauck, Jean C. R.; Demetrio, Matheus Faustino; Pelle, Rafael; da Cruz Alves, Nathalia; Barbosa, Heliziane; Azevedo, Luiz Felipe – Informatics in Education, 2018
The development of computational thinking is a major topic in K-12 education. Many of these experiences focus on teaching programming using block-based languages. As part of these activities, it is important for students to receive feedback on their assignments. Yet, in practice it may be difficult to provide personalized, objective and consistent…
Descriptors: Programming Languages, Programming, Grading, Outcome Measures
da Cruz Pinheiro, Fernando; Gresse von Wangenheim, Christiane; Missfeldt Filho, Raul – Informatics in Education, 2018
Diverse initiatives have emerged to popularize the teaching of computing in K-12 mainly through programming. This, however, may not cover other important core computing competencies, such as Software Engineering (SE). Thus, in order to obtain an overview of the state of the art and practice of teaching SE competences in K-12, we carried out a…
Descriptors: Computer Software, Engineering, Computer Science Education, Elementary Secondary Education
Izu, Cruz; Mirolo, Claudio; Settle, Amber; Mannila, Linda; Stupuriene, Gabriele – Informatics in Education, 2017
Although there is no universal agreement that students should learn programming, many countries have reached a consensus on the need to expose K-12 students to Computational Thinking (CT). When, what and how to teach CT in schools are open questions and we attempt to address them by examining how well students around the world solved problems in…
Descriptors: Computation, Thinking Skills, Elementary Secondary Education, Performance
Torres-Gastelú, Carlos Arturo; Kiss, Gábor – Informatics in Education, 2016
The purpose of this study is to identify the perceptions of university students towards their ICT Competencies from two universities, one in Mexico and the other in Hungary. The research type is quantitative and exploratory. The instrument consists of 14 questions related to three types of competencies: Basic, Application and Ethical. The sample…
Descriptors: College Students, Student Attitudes, Statistical Analysis, Technological Literacy
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