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Business process crowdsourcing : concept, ontology and decision support
This book conceptualises and develops crowdsourcing as an organisational business process. It argues that although for many organisations crowdsourcing still implies an immature one-off endeavour, when developed to a more repeatable business process it can harness innovation and agility. The book offers a process model to guide organisations towards the establishment of business process crowdsourcing (BPC), and empirically showcases and evaluates the model using two current major crowdsourcing projects. In order to consolidate the domain knowledge, the BPC model is turned into a heavyweight ontology capturing the concepts, hierarchical relationships and decision-making relationships necessary to establish crowdsourcing as a business process in an organisation. Lastly, based on the ontology it presents a decision tool that provides advice on making informed decisions about the performance of business process crowdsourcing activities.
Book
Reframing data ethics in research methods education: a pathway to critical data literacy
This paper presents an ethical framework designed to support the development of critical data literacy for research methods courses and data training programmes in higher education. The framework we present draws upon our reviews of literature, course syllabi and existing frameworks on data ethics. For this research we reviewed 250 research methods syllabi from across the disciplines, as well as 80 syllabi from data science programmes to understand how or if data ethics was taught. We also reviewed 12 data ethics frameworks drawn from different sectors. Finally, we reviewed an extensive and diverse body of literature about data practices, research ethics, data ethics and critical data literacy, in order to develop a transversal model that can be adopted across higher education. To promote and support ethical approaches to the collection and use of data, ethics training must go beyond securing informed consent to enable a critical understanding of the techno-centric environment and the intersecting hierarchies of power embedded in technology and data. By fostering ethics as a method, educators can enable research that protects vulnerable groups and empower communities.
Journal Article
Advanced Raspberry Pi : Raspbian Linux and GPIO integration
Jump right into the pro-level guts of the Raspberry Pi with complete schematics and detailed hardware explanations as your guide. You'll tinker with runlevels, reporting voltages and temperatures, and work on a variety of project examples that you can tune for your own project ideas. This book is fully updated for the latest Pi boards with three chapters dedicated to GPIO to help you master key aspects of the Raspberry Pi. You'll work with Linux driver information and explore the different Raspberry Pi models, including the Pi Zero, Pi Zero W, Pi 2, Pi3 B and Pi3 B+. You'll also review a variety of project examples that you can tune for your own project ideas. Other topics covered include the 1-Wire driver interface, how to configure a serial Linux console, and cross-compile code, including the Linux kernel. You'll find yourself turning to Advanced Raspberry Pi over and over again for both inspiration and reference. Whether you're an electronics professional, an entrepreneurial maker, or just looking for more detailed information on the Raspberry Pi, this is exactly the book for you.
Book
Research on Data Literacy Education in Vocational Colleges and Universities:A Survey on Students Majoring in Business in Guangdong Polytechnic of Science and Technology
[Purpose/Significance] In view of the lack of vocational data literacy education, based on the cognitive survey of data literacy of teachers and students in Guangdong Polytechnic of Science and Technology (GDPST), this paper provides reference for vocational colleges to establish a scientific and reasonable data literacy training system, build the corresponding curriculum system, and rationally allocate limited teaching resources.[Method/Process] Based on the existing data literacy index system, the data literacy evaluation system of vocational colleges is constructed, and the cognition and ability of data consciousness, data collection, data organization and management, data analysis, data utilization and archiving, data ethics, and \"third-order progressive\" type of higher vocational data literacy education system are investigated by means of questionnaires. [Results/Conclusions] The results show that teachers and students in GDPST have a certain degree of data awareness, but their ability to obtain business data is insufficient. They have basic data analysis ability and expression ability, but their ability in exploring the in-depth value of data is insufficient. There are significant differences in data collection, organization and management, analysis, utilization, and archiving capabilities among groups. It is believed that the design of the education system should be carried out from the three tiered levels of \"bottom-improved-advanced\", so as to improve teachers and students' comprehensive ability of data literacy.
Journal Article
Data literacy education through university-industry collaboration
Purpose
This study aims to explore the findings related to data literacy skills for students to succeed in the digital age labor market and the role of university-industry collaborations (UICs) in the co-design and co-delivery of curriculum for the development of students’ data literacy.
Design/methodology/approach
The study uses an interview-based research methodology to gather insights from industry partners and stakeholders. The interviews focus on identifying key data literacy skills, understanding the significance of these skills and exploring the role of UICs in enhancing students’ data literacy.
Findings
The findings reveal several important data literacy skills for students. The most commonly mentioned skills include data evaluation/analysis, identifying the relevance of data and data protection in a sensitive manner. Participants also emphasized the importance of recognizing the interrelationships among data, adapting data across different contexts and strategically combining diverse data. The study emphasizes the role of universities in providing a well-rounded educational setting that fosters the development of data literacy skills. Additionally, it highlights the value of practical collaborations between universities and industries, enabling students to apply theoretical knowledge in real-world contexts.
Originality/value
The study highlights the interconnected nature of various data skills and emphasizes the significance of data literacy in navigating the complexities of the digital age labor market. It also sheds light on the role of UICs in codesigning and codelivering curricula to enhance students’ data literacy. The findings provide valuable insights into the practical implications for UICs in preparing students for the data-driven job market.
Journal Article
Thinking globally, composing locally : rethinking online writing in the age of the global Internet
\"How writing and its pedagogy should adapt to the ever-expanding environment of international online communication. A global audience presents many challenges: writers seeking to contact and connect with individuals from different cultures must rethink their concept of audience, but prepare to address friction from cross-cultural rhetorical situations\"--Provided by publisher.
Book
Evaluation of Scientific Data Literacy Competency for Postgraduates in China and Construction of Data Literacy Education System
[Purpose/Significance] Based on the investigation of scientific data literacy ability of domestic graduate students, this paper constructs the scientific data literacy ability training system of university libraries, so as to provide targeted suggestions for university libraries to carry out scientific data literacy education. [Method/Process] Based on the data literacy evaluation research, a questionnaire was designed, and graduate students s of Jiangnan University were taken as the sample. [Results/Conclusions] The research shows that the data consciousness and data ethics of postgraduates in domestic universities are showing an optimistic trend. But students' ability of data collection, data organization and management, data utilization and preservation need to be improved, especially the data analysis capabilities need to be urgently strengthened. Based on this, this paper constructs a training system in accordance with the current situation of scientific data literacy of university graduates from four aspects of training objectives, contents, methods and evaluation.
Journal Article
Development of Educational Data Literacy Competency Perception Scale for Preschool Teachers: Validity and Reliability Study
Educational data literacy is defined as the competence to accurately observe, analyze, and respond to various types of data, with the aim of continuously improving teaching and learning processes at both classroom and school levels. This study aimed to develop a valid and reliable measurement tool to assess preschool teachers' perceptions of their competencies in educational data literacy. A quantitative research approach was adopted in the study. The study group consisted of 579 preschool teachers working in early childhood education institutions affiliated with the Ministry of National Education across 81 provinces of Türkiye during the 2022–2023 academic year. The data were analyzed using SPSS 22.0. and AMOS 24.0. software. The results of the exploratory factor analysis revealed that the scale comprises six dimensions and 39 items. The findings from the confirmatory factor analysis indicated that the model's fit indices were within acceptable limits. The internal consistency coefficient (Cronbach’s Alpha) of the scale was calculated as .97. Based on the findings, it can be concluded that the developed Educational Data Literacy Competency Perception Scale is a valid and reliable instrument for assessing preschool teachers’ perceptions of their educational data literacy competencies.
Journal Article
Seeing Our World Through Data: Sixth Graders Integrating Data Investigations in Collaborative Knowledge Building
Data science, as a multidisciplinary field, has gained considerable interest in K-12 education. Prior research has explored innovative ways to introduce data science to young learners, emphasizing not only the development of data skills but also the connection of data science to students’ authentic inquiries and critical actions. Building on this foundation, this study aims to achieve two complementary goals: integrating Knowledge Building, a well-established pedagogical approach, into K-12 data science education, and enhancing students’ epistemic agency through data practices in knowledge building. To achieve these goals, we engaged a class of 6th-grade students in building knowledge about global issues, supporting their exploration of public datasets related to these topics. Following the Knowledge Building framework, students collaborated to construct explanatory theories, analyzing public datasets to inform and refine their theoretical understandings. Findings revealed that, with appropriate pedagogical and technological supports, 6th-grade students were able to engage in a range of data practices when working with public datasets, derive meaningful interpretations of data visualizations, and contribute to theory-building discussions informed by their data investigations. This study highlights the potential of situating data science within students’ interdisciplinary engagement with authentic problems and demonstrates how supporting data practices can enhance their knowledge-building processes.
Journal Article