Putting Students “In Whitman’s Hand”

2018 ◽  
pp. 153-166
Author(s):  
Catherine Waitinas
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
General Education ◽  
Search Engine ◽  
New Technologies ◽  
Walt Whitman ◽  
Big Data Analysis ◽  
Manuscript Project ◽  
Graduate Seminars

Catherine Waitinas leads readers step-by-step through a digital manuscript project on Walt Whitman’s poetry that she created for a variety of courses from general education to graduate seminars. Using handwritten manuscripts digitized in the Walt Whitman Archive, Waitinas’s students meld old and new technologies, placing penmanship in conversation with big data analysis and The Walt Whitman’s Archive’s tools like the archive’s search engine. Waitinas describes how archival assignments like these are infinitely scalable; they can be used in relation to many other archives, and Waitinas gives suggestions for one-day to full-unit versions of the assignment.

scholarly journals A Survey of Students’ Attitudes to Big Data Analysis in Iranian Universities

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Nazari E ◽  
◽  
Norouzi S ◽  
Aldaghi T ◽  
Rasoulian M ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Work Experience ◽  
New Technologies ◽  
Master's Degree ◽  
Big Data Analysis ◽  
Cross Sectional ◽  
Academic Degree ◽  
Fields Of Study ◽  
Master’S Degree

Introduction: Today, with the emergence of new technologies and massive data, big data analysis has attracted the attention of researchers, industries and universities on a global scale. The present research aims to explore students’ attitude to big data analysis in different fields of study. Methodology: The present cross-sectional study was conducted with students at different universities and fields of study in Iran. A questionnaire was developed. This questionnaire explored students’ attitude toward big data analysis. To this aim, 359 university students participated in the research. The data were analyzed using descriptive and inferential statistics. Results: The age of the students ranged between 25 and 34 years. 55.2% were female and 54% were economically active. 40.9% had a work experience of less than a year. The academic degree of the majority of participants was master’s degree. 93.9% of the participants believed that big data analysis was essential for the country. 43.2% maintained that big data mostly belonged to the communication industry. 28.1% perceived MATLAB useful software for analysis. 40.9% were familiar with the benefits of analysis. Engage in economic activities, less than 1 year of experience and studies for a Master’s degree showed to be significantly correlated with familiarity with the benefits of big data (p=0.01). Such issues as high costs, managers’ unfamiliarity and lack of expertise and complexity were raised by the respondents.

Technological issues

2020 ◽  
pp. 163-170
Author(s):  
Martijn Scherrenberg ◽  
Cindel Bonneux ◽  
Ines Frederix ◽  
Paul Dendale
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Cardiac Rehabilitation ◽  
Real Time ◽  
Data Protection ◽  
New Technologies ◽  
New Technology ◽  
Big Data Analysis ◽  
Real Time Monitoring ◽  
Ambulatory Patients

Technology has become increasingly important in cardiac rehabilitation (CR). New technologies, such as smartwatches, have changed the landscape of real-time monitoring of ambulatory patients. Implementation of new technology is always accompanied by issues of concern. Relevant examples are inter-operability and data protection. However, new technologies mainly offer new opportunities such as improvements in tele-rehabilitation (teleCR), persuasive design and big data analysis.

scholarly journals Access to Finance for Small-and Medium-Sized Enterprises in Modern Reality

2020 ◽  
pp. 44-50
Author(s):  
T. Urumov
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Financial Services ◽  
Business Models ◽  
New Technologies ◽  
Digital Technologies ◽  
Big Data Analysis ◽  
Financial Resources ◽  
Digital Platforms ◽  
Online Forms

Small-and medium-sized Enterprises (SMEs) in many countries nowadays face financial shortages and challenges in attracting new financial resources. In today’s new reality technologies and innovative business models become crucial for increasing access to financial services and enhancing long-term economic growth. Digital technologies have been actively developing even before the pandemic of COVID-19. However, during the lockdown and the economic crisis caused by the pandemic the development of digital platforms has accelerated. Digital commerce and payments have become much more significant in the first half of 2020. That fact stimulated many SMEs to improve their digital capabilities. The “new” reality motivates the enterprises to use big data analysis and artificial intelligence in decision making process. The modern technologic capabilities are used in two directions. The first direction is the digitalization of organizational aspects of SMEs activities, for instance, transferring business meetings and conferences into online forms. The second one, which is even more important, suggests financial digitalization. This means using digital technologies to attract financial resources for business needs. Financial digitalization requires some specific measures, including improving the existing mechanisms of traditional loan financing through the use of new technologies and big data analysis; stimulating closer interaction between financial institutions and SMEs; drafting appropriate legislation to regulate the digital financial technologies sphere.

Insights into seismic hazard from big data analysis of ground motion simulations

2019 ◽  
Vol 9 (1) ◽  
pp. 01-12 ◽  
Author(s):  
Kristy F. Tiampo ◽  
Javad Kazemian ◽  
Hadi Ghofrani ◽  
Yelena Kropivnitskaya ◽  
Gero Michel
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Seismic Hazard ◽  
Ground Motion ◽  
Big Data Analysis ◽  
Ground Motion Simulations

A Social Big Data Analysis on Sport Participation

2020 ◽  
Vol 25 (2) ◽  
pp. 18-30
Author(s):  
Seung Wook Oh ◽  
Jin-Wook Han ◽  
Min Soo Kim
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Sport Participation ◽  
Big Data Analysis ◽  
Social Big Data
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