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Auflistung nach Schlagwort "Computational thinking"

1 - 6 von 6
  • Zeitschriftenartikel
    Primary Mathematics Teachers’ Understanding of Computational Thinking
    (KI - Künstliche Intelligenz: Vol. 36, No. 1, 2022) Nordby, Siri Krogh; Bjerke, Annette Hessen; Mifsud, Louise
    Computational thinking (CT) is often regarded as providing a ‘soft start’ for later involvement with artificial intelligence and, hence, as a crucial twenty-first century skill. The introduction of CT in primary mathematics curricula puts many demands on teachers, and their understanding of CT in mathematics is key to its successful introduction. Inspired by an information ecology perspective, we investigate how four primary school teachers understand CT in mathematics and how they go ahead to include CT in their mathematics teaching practice. Through observations and interviews, we find promising starting points for including CT, related to pattern recognition, problem solving and the use of programming activities. Our findings indicate that teachers’ lack of knowledge affects CT adoption in two ways: during its inclusion in the existing mathematics curriculum and as a new element focussed on programming and coding, leaving mathematics in the background. For the inclusion to be fruitful, we suggest there is a need to help teachers understand how CT can be used productively in mathematics and vice versa.
  • Zeitschriftenartikel
    Programming and Computational Thinking in Mathematics Education
    (KI - Künstliche Intelligenz: Vol. 36, No. 1, 2022) Tamborg, Andreas Lindenskov; Elicer, Raimundo; Spikol, Daniel
    Artificial intelligence (AI) has become a part of everyday interactions with pervasive digital systems. This development increasingly calls for citizens to have a basic understanding of programming and computational thinking (PCT). Accordingly, countries worldwide are implementing several approaches to integrate critical elements of PCT into K-9 education. However, these efforts are confronted by difficulties that the PCT concepts are for students to grasp from purely theoretical perspectives. Recent literature indicates that the playful nature is particularly important when novices from both both early and higher education are to learn AI. These playful activities are characterised by setting a scene where PCT concepts such as algorithms, data processing, and simulations are meant to draw on to understand better how AI is integrated into our everyday digital life. This discussion paper analyses playful PCT resources developed around the game rock-paper-scissors developed in the UK and Denmark. Resources from these countries are interesting starting points since both have been or are in the process of integrating PCT as part of the K-9 curriculum. The central discussion raised by the paper, is the nature of the integration between mathematics and PCT in these tasks. These resources provide opportunities for discussion of how we may better integrate PCT and mathematics from the perspective of both subjects to build a solid foundation for a critical understanding of AI interactions in future generations.
  • Zeitschriftenartikel
    Survey: Artificial Intelligence, Computational Thinking and Learning
    (KI - Künstliche Intelligenz: Vol. 36, No. 1, 2022) Dohn, Nina Bonderup; Kafai, Yasmin; Mørch, Anders; Ragni, Marco
    Learning is central to both artificial intelligence and human intelligence, the former focused on understanding how machines learn, the latter concerned with how humans learn. With the growing relevance of computational thinking, these two efforts have become more closely connected. This survey examines these connections and points to the need for educating the general public to understand the challenges which the increasing integration of AI in human lives pose. We describe three different framings of computational thinking: cognitive, situated, and critical. Each framing offers valuable, but different insights into what computational thinking can and should be. The differences between the three framings also concern the views of learning that they embody. We combine the three framings into one framework which emphasizes that (1) computational thinking activities involve engagement with algorithmic processes, and (2) the mere use of a digital artifact for an activity is not sufficient to count as computational thinking. We further present a set of approaches to learning computational thinking. We argue for the significance of computational thinking as regards artificial intelligence on three counts: (i) Human developers use computational thinking to create and develop artificial intelligence systems, (ii) understanding how humans learn can enrich artificial intelligence systems, and (iii) such enriched systems will be explainable. We conclude with an introduction of the articles included in the Special Issue, focusing on how they call upon and develop the themes of this survey.
  • Zeitschriftenartikel
    The Cyber Weapon: Decomposing Puzzles in Unplugged Computational Thinking Practices with Computational Objects
    (KI - Künstliche Intelligenz: Vol. 36, No. 1, 2022) Hachmann, Roland
    This article contributes empirically to an ongoing discussion in the cross-section between computer science and the learning sciences. It takes on the question of how pupils can approach basic concepts of computer science and computational thinking skills through problem-solving activities in school. By responding to propositions from researchers within the field suggesting that broader perspectives on integrating computational thinking in subjects should be investigated, examples from an empirical study are given. The study examines a design for learning computational thinking using an unplugged approach, highlighting tangible computational objects as mediators for problem-solving. Three groups of 8th-grade pupils were followed and observed as they set out to collaborate on solving the escape puzzle: The Cyber Weapon, by manipulating computational objects and retrieving a code to stop a virus from spreading. The article highlights how pupils move from open trial-and-error approaches to systematic and iterative decomposing strategies. The article further discusses the implications of tangible computational objects framing problem-solving activities. This is done from a subject-didactical approach, highlighting the interrelatedness between problems, people, and tools as well as how designs like The Cyber Weapon reflect an alternative way to teach pupils basic concepts of computational thinking.
  • Zeitschriftenartikel
    What is the Problem? A Situated Account of Computational Thinking as Problem-Solving in Two Danish Preschools
    (KI - Künstliche Intelligenz: Vol. 36, No. 1, 2022) Odgaard, Ane Bjerre
    This paper presents a case study of in situ activities in two Danish preschools. In the activities, learning computational thinking (CT) plays a central part. The participating 4- to 5-year-old children are invited by an external educator to employ tangibles, such as robots, for structured problem-solving tasks within an overall narrative framing. In accordance with elaborations on CT as a problem-solving strategy, it is examined how the children engage in CT as problem-solving. The activities are part of a municipal initiative that involves preschools in a larger Danish city. The aim of this municipal initiative is to support young children’s understanding of technologies, coding and robotics as an element of twenty-first century skills. Based on video observations, the study provides a situated account of how the children engage in problem-solving in the observed activities. In empirical terms, the study shows how problem-solving tasks, such as programming a robot to move from A to B, merge with complex endeavors of engaging meaningfully with things and people in social situations. These empirical findings are analyzed by employing theoretical conceptualizations of problem-solving from a sociocultural perspective. This leads to a critical discussion regarding the relevance, potentials and pitfalls of introducing CT through problem-solving tasks with tangible tools in Danish preschool settings.
  • Zeitschriftenartikel
    Why, What and How to Help Each Citizen to Understand Artificial Intelligence?
    (KI - Künstliche Intelligenz: Vol. 35, No. 2, 2021) Alexandre, Frédéric; Becker, Jade; Comte, Marie-Hélène; Lagarrigue, Aurélie; Liblau, Romain; Romero, Margarida; Viéville, Thierry
    A critical understanding of digital technologies is an empowering competence for citizens of all ages. In this paper we introduce an open educational approach of artificial intelligence (AI) for everyone. Through a hybrid and participative MOOC we aim to develop a critical and creative perspective about the way AI is integrated in the different domains of our lives. We have built and now operate a MOOC in AI for all the citizens from 15 years old. The MOOC aims to help understanding AI foundations and applications, intended for a large public beyond the school domain, with more than 20,000 participants engaged in the MOOC after nine months. This study addresses the pedagogical methods for designing and evaluating the MOOC in AI. Through this study we raise four questions regarding citizen education in AI: Why (i.e., to which aim) sharing such citizen formation? What is the disciplinary knowledge to be shared? What are the competencies to develop? How can it be shared and evaluated? We finally share learning analytics, quantitative and qualitative evaluations and explain to which extent educational science research helps enlighten such large scale initiatives. The analysis of the MOOC in AI helps to identify that the main feedback related to AI is “fear”, because AI is unknown and mysterious to the participants. After developing playful AI simulations, the AI mechanisms become familiar for the MOOC participants and they can overcome their misconception on AI to develop a more critical point of view. This contribution describes a K-12 AI educational project or initiatives of a considerable impact, via the formation of teachers and other educators.