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Computational Thinking in Problem Based Learning - Exploring the Reciprocal Potential

机译:基于问题的学习中的计算思维-探求倒数潜力

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This paper presents the initial insights from a study in which we explored the relation between computational thinking (CT) and problem-based learning in higher education. CT skills are increasingly recognized as a necessity to all lines of study, as they not only facilitate digital proficiency, but potentially also a sense of computational empowerment and an ability to take a critical and constructive approach to applying computers when solving complex problems. The distinct focus on higher education is routed in theoretical as well as empirically based challenges, as this particular group of learners for the vast majority have started their education in a mainly analogue learning setting, yet now face employments with a much stronger demand for digital competences. The discussions presented in this paper takes its point of departure in the Aalborg PBL-model.
机译:本文提出了一项研究的初步见解,在该研究中我们探讨了计算思维(CT)与基于问题的学习在高等教育中的关系。 CT技能被越来越广泛地认为是所有学科的必要条件,因为它们不仅可以提高数字水平,而且还可以增强计算能力,并具有在解决复杂问题时采用关键且建设性的方法来应用计算机的能力。对高等教育的独特关注是在理论和基于经验的挑战上进行的,因为这一特定群体的绝大多数学习者已经开始在主要是模拟学习的环境中接受教育,但是现在面临着对数字能力的强烈要求的就业。本文提出的讨论是奥尔堡PBL模型的出发点。

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