Human computing: A new smart technology for learning and life

S. Russ
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Abstract

Summary form only given. Empirical Modelling (EM) is an approach to computing which includes, but is much broader than, traditional computer science. It occupies a territory where experience is more prominent than abstractions, where state has priority over pre-conceived behaviours and where the agencies behind state change (human or otherwise) are first identified. Extensive research, and teaching of this approach to final year computer science students, over many years under the leadership of Meurig Beynon at the University of Warwick has resulted in a large body of artefacts, environments and publications. They can be found at http://go.warwick.ac.uk/em At the core of EM is an activity we call `making construals'. By a `construal of X' we mean `what we think of X' or `how we make sense of X'. As well as being a personal product of the maker it is at the same time an interactive computer artefact. The development method we adopt allows passage from the mere contemplation of a phenomenon or problem to the crafting of a program-like behaviour that is useful. We shall demonstrate this and explain the advantages of the approach, in at least some domains such as learning, when compared with existing programming paradigms. We have called the approach `human computing' in recognition that its `programs' - in both development and ways of use - have much more of the human qualities of flexibility, and multiple viewpoints, than is usual in a computing environment. It promotes closer collaboration between the human and computer. We shall report on the progress and challenges of the EU Project CONSTRUIT! which is half-way through its three-year duration. With its six European partners CONSTRUIT! seeks to promote the making of construals among teachers and students (at all levels) and to evaluate the effectiveness of this activity for learning across many subjects. See http://go.warwick.ac.uk/em/welcome We hope also to have a practical workshop on making contruals at KST2016 so we look forward to welcoming you to that and seeing what new construals you can help us make!
人机计算:一种用于学习和生活的新型智能技术
只提供摘要形式。经验建模(EM)是一种计算方法,它包括但比传统计算机科学广泛得多。在这个领域,经验比抽象更重要,国家优先于预先设想的行为,国家变化背后的机构(人类或其他)首先被确定。多年来,在华威大学Meurig Beynon的领导下,对计算机科学专业的学生进行了广泛的研究和教学,产生了大量的人工制品、环境和出版物。它们可以在http://go.warwick.ac.uk/em上找到。EM的核心是一种我们称之为“制造识解”的活动。所谓“对X的解释”,我们指的是“我们对X的看法”或“我们如何理解X”。作为制造者的个人产品,它同时也是一个交互式的计算机人工制品。我们采用的开发方法允许从单纯的对现象或问题的思考过渡到制作有用的类似程序的行为。我们将演示这一点,并解释与现有编程范例相比,该方法至少在某些领域(如学习)的优势。我们把这种方法称为“人类计算”,因为它的“程序”——在开发和使用的方式上——比通常的计算环境有更多的灵活性和多视点的人类品质。它促进了人与计算机之间更紧密的合作。我们将报告欧盟项目建设的进展和挑战!这是三年期限的一半。与六个欧洲合作伙伴共建!旨在促进教师和学生(在各个层次)的解谜活动,并评估这种活动对跨学科学习的有效性。请参阅http://go.warwick.ac.uk/em/welcome我们也希望在KST2016上有一个关于制作控制的实用研讨会,所以我们期待着欢迎您参加,看看您可以帮助我们制作什么新的识解!
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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