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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
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Vink, Isabelle C. de; Tolboom, Jos L. J.; Beekum, Olivier van – Informatics in Education, 2023
Due to technological advancements, robotics is findings its way into the classroom. However, workload for teachers is high, and teachers sometimes lack the knowledge to implement robotics education. A key factor of robotics education is peer learning, and having students (near-)peers teach them robotics could diminish workload. Therefore, this…
Descriptors: Peer Teaching, Robotics, STEM Education, Elementary School Students
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Armoni, Michal; Gal-Ezer, Judith – Informatics in Education, 2023
In a previous publication we examined the connections between high-school computer science (CS) and computing higher education. The results were promising -- students who were exposed to computing in high school were more likely to take one of the computing disciplines. However, these correlations were not necessarily causal. Possibly those…
Descriptors: High School Students, Computer Science Education, Correlation, Higher Education
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Ramon Mayor Martins; Christiane Gresse Von Wangenheim – Informatics in Education, 2023
Machine Learning (ML) is becoming increasingly present in our lives. Thus, it is important to introduce ML already in High School, enabling young people to become conscious users and creators of intelligent solutions. Yet, as typically ML is taught only in higher education, there is still a lack of knowledge on how to properly teach younger…
Descriptors: High School Students, Teaching Machines, Technology Uses in Education, Instruction
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Ana Paula Juliana Perin; Deivid Eive dos S. Silva; Natasha M. C. Valentim – Informatics in Education, 2023
In Education 4.0, a personalized learning process is expected, and that students are the protagonist. In this new education format, it is necessary to prepare students with the skills and competencies of the 21st-Century, such as teamwork, creativity, and autonomy. One of the ways to develop skills and competencies in students can be through block…
Descriptors: Programming, High School Students, Learning, Learning Processes
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Gorjan Nadzinski; Branislav Gerazov; Stefan Zlatinov; Tomislav Kartalov; Marija Markovska Dimitrovska; Hristijan Gjoreski; Risto Chavdarov; Zivko Kokolanski; Igor Atanasov; Jelena Horstmann; Uros Sterle; Matjaz Gams – Informatics in Education, 2023
With the development of technology allowing for a rapid expansion of data science and machine learning in our everyday lives, a significant gap is forming in the global job market where the demand for qualified workers in these fields cannot be properly satisfied. This worrying trend calls for an immediate action in education, where these skills…
Descriptors: Data Science, Artificial Intelligence, Man Machine Systems, Vocational Education
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Yepes, Igor; Barone, Dante Augusto Couto; Porciuncula, Cleber Mateus Duarte – Informatics in Education, 2022
With the growing search for qualified professionals in the exact area, teaching in STEM (Science, Technology, Engineering, and Mathematics) areas is gaining importance. In parallel, it appears that drones are an increasingly present reality in the civil area; however, there are few scientific studies of their application in the pedagogical…
Descriptors: STEM Education, Aviation Technology, Robotics, Teaching Methods
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Souza, Isabelle M. L.; Andrade, Wilkerson L.; Sampaio, Lívia M. R. – Informatics in Education, 2022
Nowadays, solving problems is substantial for the social relationship human. Computational Thinking (CT) emerges as an interdisciplinary thought process encompassing mental abilities to help students solve and understand problems. Researchers invest in the methodological proposal of activities aimed at CT stimulation, educational approaches, and…
Descriptors: Robotics, Vocational Education, High School Students, Thinking Skills
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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
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Jakaitiene, Audrone; Želvys, Rimantas; Vaitekaitis, Jogaila; Raižiene, Saule; Dukynaite, Rita – Informatics in Education, 2021
We focus on two types of centralised national examinations (the 10th grade tests and Matura examination) that are being carried out in Lithuania for two decades. The aim of the paper is to analyse assessments of mathematics for the entire Lithuanian secondary school population that have no sampling errors while considering the factors of location,…
Descriptors: Foreign Countries, Secondary School Students, Mathematics Tests, National Competency Tests
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Busuttil, Leonard; Formosa, Marquita – Informatics in Education, 2020
This paper investigates unplugged computing as a formal pedagogical strategy to teaching computing to a Maltese secondary class of Year 9 students. It aims at identifying the effectiveness of this pedagogy outlining the strengths and weaknesses in its application, taking into consideration the level of attainment for students, as well as the…
Descriptors: Foreign Countries, Computer Science Education, Grade 9, Secondary School Students
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Ponciano, Jean R.; Linhares, Claudio D. G.; Melo, Sara L.; Lima, Luciano V.; Travencolo, Bruno A. N. – Informatics in Education, 2020
Information Visualisation strategies can be applied in a variety of domains. In the context of temporal networks, i.e., networks in which interactions between individuals occur throughout time, efforts have been conducted to develop visual approaches that allow finding interaction patterns, anomalies, and other behaviours not previously perceived…
Descriptors: Visual Aids, Time, Networks, Elementary School Students
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Gurer, Melih Derya; Cetin, Ibrahim; Top, Ercan – Informatics in Education, 2019
The aim of this study was to investigate the factors affecting the pre-service computer science teachers' attitudes towards computer programming (ATCP). The sample consists of 119 preservice teachers at a public state university. The influences of students' demographic characteristics (gender, grade level, and high school type), their achievement…
Descriptors: Programming, Preservice Teachers, State Universities, Academic Achievement
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Baturay, Meltem Huri; Gökçearslan, Sahin; Sahin, Semsettin – Informatics in Education, 2017
The current study investigates the attitudes of teachers towards Computer-Assisted Education (CAE) and their knowledge of technology, pedagogy and content via TPACK model that assesses the competencies for developing and implementing successful teaching. There were 280 participants in the study. The results of the study indicate that teachers'…
Descriptors: Teacher Attitudes, Computer Assisted Instruction, Educational Technology, Technological Literacy
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Benacka, Jan – Informatics in Education, 2015
The article presents the results of an experiment in which Excel applications that depict rotatable and sizable orthographic projection of simple 3D figures with face overlapping were developed with thirty gymnasium (high school) students of age 17-19 as an introduction to 3D computer graphics. A questionnaire survey was conducted to find out…
Descriptors: Spreadsheets, High School Students, Secondary School Mathematics, Algebra
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