1,721,354 research outputs found
How to Discover the Prerequisites in Education and Training Courses: A Data-driven Method to Design Learning Path
No full textThe new method, named Prerequisite Discovery, can redesign education and training courses with most in-demand competences in the labour market. The method, exploiting text mining
techniques and machine learning algorithms, identifies and predicts prerequisite relations to
support the design of syllabi and learning paths. The most in-demand competences for the
labour market are used for building learning paths based on domain specific textbooks,
towards a more effective and efficient learning experience. A general reference framework for
competences (ESCO) enables the applications in different industrial areas. A Case Study in
the Project Management field is presented and discussed
A DATA DRIVEN TOOL TO SUPPORT DESIGN TEAM COMPOSITION MEASURING SKILLS DIVERSITY
No full textTeam composition in Project Based Learning is the first task for the class and has a great impact on the learning experience. Anyway, little space is dedicated in literature about team composition, considering their personal inclinations towards design tasks. For these reasons we propose a tool that aims to map the design skills of students to optimise team composition. The tool is based on a questionnaire grounded in the design theory and aims at measuring the willingness of students at performing certain design tasks. The results of the questionnaires are analysed using Principal Component Analysis to normalise each students' answers to the whole class, and to show the distribution of students in the space of engineering design skills. We present the design process of the tool, and a first experimentation on two classes of master's degree students in Management Engineering and Data Science, testing the tool on a total of 72 students. The results are promising and demonstrate the robusteness of the questionnaire and of the analytical method. Also, we propose next steps for our research activity, calling for other researchers to test our method in different contexts. © The Author(s), 2023. Published by Cambridge University Press
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Integrating building information modeling and augmented reality to improve investigation of historical buildings
No full textThis paper describes an experimental system to support investigation of historical buildings using Building Information Modeling (BIM) and Augmented Reality (AR). The system requires the use of an off-line software to build the BIM representation and defines a method to integrate diagnostic data into BIM. The system offers access to such information during site investigation using AR glasses supported by marker and marker-less technologies. The main innovation is the possibility to contextualize through AR not only existing BIM properties but also results from non-invasive tools. User evaluations show how the use of the system may enhance the perception of engineers during the investigation process
Editorial Special Issue on Practising Continuous Innovation in Digital Ecosystems – Part II
No full textThe impact of ChatGPT on human skills: A quantitative study on twitter data
No full textThe novel generative Artificial Intelligence (AI) developed by OpenAI, i.e., ChatGPT, rised a great interest in both scientific and business contexts. This new wave of technological advancement typically produces deep transformation in the workplace, requiring new skills. However, none of the studies in literature provide quantitative analysis and measures on the impact of ChatGPT on human skills. To address this gap, we collected a database of 616,073 tweets about ChatGPT, and used Natural Language Processing techniques to identify the tasks users requested ChatGPT to perform, and the sentiment related to these tasks. Then, we compared these tasks with a standard taxonomy of skills (i.e., ESCO) using BERT. The results of the study underline that ChatGPT impacts 185 different skills. Moreover, we proposed a model to represent the interaction of the user and ChatGPT, useful to define four skills which are emerging for using this new technology
On the link between Education and Industry 4.0: a framework for a data-driven education design
No full textThe fast pace of technological evolution, pushed by the Industry 4.0 and accelerated by the COVID-19, is in contrast with the slow change of the education institutions. Indeed, they struggle to promptly update their programs to be aligned with the labour market needs. In such a dynamic environment, a rethinking of the education design process is fundamental to support schools, universities and learning centres through a faster digitalization of their services. The emerging perspectives in curriculum design propose the use of data to develop and deliver better courses to students taking advantage of technological evolution. In this paper, we attempt to present a framework for using data as a support of education design, with a focus on textual data. The aim is to delineate a framework to exploit Natural Language Processing (NLP) and Named Entity Recognition (NER) techniques in data-driven strategies for designing courses. To support these techniques, we disclose a map of the most relevant concepts that can aid education design and can be mined with NLP
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