翻訳：中島 秀之

Bio: 翻訳：中島 秀之 is an academic researcher. The author has an hindex of 1, co-authored 1 publications receiving 430 citations.

Computational Thinking 計算論的思考

Abstract: It represents a universally applicable attitude and skill set everyone, not just computer scientists, would be eager to learn and use.

The promise of computational journalism

Abstract: Computational journalism involves the application of software and technologies to the activities of journalism, and it draws from the fields of computer science, the social sciences, and media and communications. New technologies may enhance the traditional aims of journalism, or may initiate greater interaction between journalists and information and communication technology (ICT) specialists. The enhanced use of computing in news production is related in particular to three factors: larger government data sets becoming more widely available; the increasingly sophisticated and ubiquitous nature of software; and the developing digital economy. Drawing upon international examples, this paper argues that computational journalism techniques may provide new foundations for original investigative journalism and increase the scope for new forms of interaction with readers. Computer journalism provides a major opportunity to enhance the delivery of original investigative journalism, and to attract and retain readers online.

It's computational thinking! Bebras tasks in the curriculum

Abstract: Bebras is an award-winning, international contest and challenge in informatics that has been running for 12 years in primary and secondary schools, with 50 countries now participating. From a single contest-focused annual event the Bebras developed to a multifunctional challenge; an activities-based educational community-building network has grown up where the development of Bebras tasks has taken a very significant role. Bebras tasks present a motivating way to introduce computer science concepts to students as well as developing computational thinking skills. Tasks are categorized in terms of the concepts being covered, and each task includes an explanation of how the task relates to informatics. In this paper we propose that Bebras tasks can be used within the school curriculum (whether it is called informatics, computer science, computing or information technology) to promote computational thinking and provide teaching materials. We give examples of Bebras tasks that could be incorporated into the curriculum, and make recommendations for schools wishing to develop children’s computational thinking skills.

INNODOCT/17. International conference on innovation,documentation and education

Abstract: This paper presents an analysis of the 62 universities in Ecuador that are in the web ranking of universities, in order to evaluate the use of digital media and obtain information on the management of university e-branding. The study explores, to a large extent, the digital variables currently used for broadcasting and we include the resources of two indexed databases as a dissemination flow. All this data has been analyzed through statistics and web performance tools. The results indicate the universities in Ecuador do not present a clear use of the academic e-branding as a strategy of dissemination, exposure, and visibility improvement to increase their ranking level. However, it is clear that some have demonstrated the relevance of the uses of these systems to improve their worldwide level spread.

1 what is computational thinking

Abstract: An algorithm is a set of rules for getting a specific output from a specific input. Each step must be so precisely defined that it can be translated into computer language and executed by machine.

PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations

Abstract: Natural language programming is a promising approach to enable end users to instruct new tasks for intelligent agents. However, our formative study found that end users would often use unclear, ambiguous or vague concepts when naturally instructing tasks in natural language, especially when specifying conditionals. Existing systems have limited support for letting the user teach agents new concepts or explaining unclear concepts. In this paper, we describe a new multi-modal domain-independent approach that combines natural language programming and programming-by-demonstration to allow users to first naturally describe tasks and associated conditions at a high level, and then collaborate with the agent to recursively resolve any ambiguities or vagueness through conversations and demonstrations. Users can also define new procedures and concepts by demonstrating and referring to contents within GUIs of existing mobile apps. We demonstrate this approach in PUMICE, an end-user programmable agent that implements this approach. A lab study with 10 users showed its usability.