Data Literacy and Citizenship

2017 ◽  
pp. 65-79 ◽  
Author(s):  
Eddy L. Borges-Rey
Keyword(s):  
Big Data ◽  
Teaching And Learning ◽  
New Technologies ◽  
Data Access ◽  
Data Sampling ◽  
Public And Private ◽  
Data Literacy ◽  
Vital Fluid ◽  
And Mathematics ◽  
Access Data

This chapter explores the challenges that emerge from a narrow understanding of the principles underpinning Big data, framed in the context of the teaching and learning of Science and Mathematics. This study considers the materiality of computerised data and examines how notions of data access, data sampling, data sense-making and data collection are nowadays contested by datafied public and private bodies, hindering the capacity of citizens to effectively understand and make better use of the data they generate or engage with. The study offers insights from secondary and documentary research and its results suggest that understanding data in less constraining terms, namely: a) as capable of secondary agency, b) as the vital fluid of societal institutions, c) as gathered or accessed by new data brokers and through new technologies and techniques, and d) as mediated by the constant interplay between public and corporate spheres and philosophies, could greatly enhance the teaching and learning of Science and Mathematics in the framework of current efforts to advance data literacy.

Data Literacy and Citizenship

Web Services ◽  
2019 ◽  
pp. 387-400
Author(s):  
Eddy L. Borges-Rey
Keyword(s):  
Big Data ◽  
Teaching And Learning ◽  
New Technologies ◽  
Data Access ◽  
Data Sampling ◽  
Public And Private ◽  
Data Literacy ◽  
Vital Fluid ◽  
And Mathematics ◽  
Access Data

This chapter explores the challenges that emerge from a narrow understanding of the principles underpinning Big data, framed in the context of the teaching and learning of Science and Mathematics. This study considers the materiality of computerised data and examines how notions of data access, data sampling, data sense-making and data collection are nowadays contested by datafied public and private bodies, hindering the capacity of citizens to effectively understand and make better use of the data they generate or engage with. The study offers insights from secondary and documentary research and its results suggest that understanding data in less constraining terms, namely: a) as capable of secondary agency, b) as the vital fluid of societal institutions, c) as gathered or accessed by new data brokers and through new technologies and techniques, and d) as mediated by the constant interplay between public and corporate spheres and philosophies, could greatly enhance the teaching and learning of Science and Mathematics in the framework of current efforts to advance data literacy.

scholarly journals Building a Networked Improvement Community: Lessons in Organizing to Promote Diversity, Equity, and Inclusion in Science, Technology, Engineering, and Mathematics

2021 ◽  
Vol 12 ◽  
Author(s):  
Chelsea E. Noble ◽  
Marilyn J. Amey ◽  
Luis A. Colón ◽  
Jacqueline Conroy ◽  
Anna De Cheke Qualls ◽  
...  
Keyword(s):  
Teaching And Learning ◽  
Intervention Development ◽  
Organizational Structures ◽  
Complex Problem ◽  
Lessons Learned ◽  
Public And Private ◽  
Require Time ◽  
Science Technology ◽  
And Mathematics ◽  
Equity And Inclusion

In 2016, 10 universities launched a Networked Improvement Community (NIC) aimed at increasing the number of scholars from Alliances for Graduate Education and the Professoriate (AGEP) populations entering science, technology, engineering, and mathematics (STEM) faculty careers. NICs bring together stakeholders focused on a common goal to accelerate innovation through structured, ongoing intervention development, implementation, and refinement. We theorized a NIC organizational structure would aid understandings of a complex problem in different contexts and accelerate opportunities to develop and improve interventions to address the problem. A distinctive feature of this NIC is its diverse institutional composition of public and private, predominantly white institutions, a historically Black university, a Hispanic-serving institution, and land grant institutions located across eight states and Washington, DC, United States. NIC members hold different positions within their institutions and have access to varied levers of change. Among the many lessons learned through this community case study, analyzing and addressing failed strategies is as equally important to a healthy NIC as is sharing learning from successful interventions. We initially relied on pre-existing relationships and assumptions about how we would work together, rather than making explicit how the NIC would develop, establish norms, understand common processes, and manage changing relationships. We had varied understandings of the depth of campus differences, sometimes resulting in frustrations about the disparate progress on goals. NIC structures require significant engagement with the group, often more intensive than traditional multi-institution organizational structures. They require time to develop and ongoing maintenance in order to advance the work. We continue to reevaluate our model for leadership, climate, diversity, conflict resolution, engagement, decision-making, roles, and data, leading to increased investment in the success of all NIC institutions. Our NIC has evolved from the traditional NIC model to become the Center for the Integration of Research, Teaching and Learning (CIRTL) AGEP NIC model with five key characteristics: (1) A well-specified aim, (2) An understanding of systems, including a variety of contexts and different organizations, (3) A culture and practice of shared leadership and inclusivity, (4) The use of data reflecting different institutional contexts, and (5) The ability to accelerate infrastructure and interventions. We conclude with recommendations for those considering developing a NIC to promote diversity, equity, and inclusion efforts.

scholarly journals BIG-DATA and the Challenges for Statistical Inference and Economics Teaching and Learning

2017 ◽  
Vol 4 (1) ◽  
pp. 64
Author(s):  
J.L. Peñaloza Figueroa ◽  
C. Vargas Perez
Keyword(s):  
Economic Theory ◽  
Big Data ◽  
Statistical Inference ◽  
Teaching And Learning ◽  
Added Value ◽  
Public And Private ◽  
Analytical Skills ◽  
Teachers And Students ◽  
Short And Long Term ◽  
Comparison Algorithms

<p>The  increasing  automation  in  data  collection,  either  in  structured  or</p><p>unstructured formats, as well as the development of reading, concatenation and comparison algorithms and the growing analytical skills which characterize the era of Big Data, cannot not only be considered a technological achievement, but an organizational, methodological and analytical challenge for knowledge as well, which is necessary to generate opportunities and added value.</p><p>In fact, exploiting the potential of Big-Data includes all fields of community activity; and given its ability to extract behaviour patterns, we are interested in the challenges for the field of teaching and learning, particularly in the field of statistical inference and economic theory.</p><p>Big-Data can improve the understanding of concepts, models and techniques used in both statistical inference and economic theory, and it can also generate reliable and robust short and long term predictions. These facts have led to the demand for analytical capabilities, which in turn encourages teachers and students to demand access to massive information produced by individuals, companies and public and private organizations in their transactions and inter- relationships.</p><p>Mass data (Big Data) is changing the way people access, understand and organize knowledge, which in turn is causing a shift in the approach to statistics and economics teaching, considering them as a real way of thinking rather than just operational and technical disciplines. Hence, the question is how teachers can use automated collection and analytical skills to their advantage when teaching statistics and economics; and whether it will lead to a change in what is taught and how it is taught.</p>

The use of virtual and simulated teaching and learning environments: Inviting gifted students into science, technology, engineering, and mathematics careers (STEM) through summer partnerships

2012 ◽  
Vol 28 (1) ◽  
pp. 96-106 ◽  
Author(s):  
Lisa Dieker ◽  
Kelly Grillo ◽  
Nirmala Ramlakhan
Keyword(s):  
Teaching And Learning ◽  
New Technologies ◽  
Summer Camp ◽  
Gifted Students ◽  
Science Students ◽  
Low Socioeconomic ◽  
Self Confidence ◽  
Simulated Environments ◽  
Science Technology ◽  
And Mathematics

New technologies and virtual environments are emerging globally, yet the way these tools can impact the learning and future career paths of students who are gifted is limited in the literature at this time. The purpose of this article is to provide a summary of how a science, technology, engineering, and mathematics (STEM) summer camp, based on virtual and simulated environments, impacted the self-confidence of targeted diverse secondary science students from low socioeconomic backgrounds who were considered gifted with strong potential in these future STEM fields.

scholarly journals Between Constancy and Change: Legal Practice and Legal Education in the Age of Technology

2019 ◽  
Vol 36 (1) ◽  
pp. 64-79
Author(s):  
Zhiqiong June Wang
Keyword(s):  
Big Data ◽  
Teaching And Learning ◽  
New Technologies ◽  
Technological Development ◽  
Legal Education ◽  
Legal Profession ◽  
Legal Practice ◽  
Technological Changes ◽  
Legal Responses ◽  
The Impact

In legal practice, as in other professions, the increasing use of technologies is not new. However, it is generally agreed that the latest round of new technological development, such as AI and big data, has presented, and will continue to present, challenges to the legal profession in a much more profound way. If the legal profession must adapt to technological changes, so must legal education. Technologies in legal education present us with three sets of considerations: the adoption and adaptation of technologies to teaching and learning; the study and research of disruptions and other impacts of technologies in society to assist in formulating legal responses to them; and the preparation of future lawyers.This paper first examines the impact of different technologies on legal practice and responses from the profession. Upon examining the opportunities and challenges brought about by new technologies, the paper will further discuss how legal education, especially its curricula, might respond to changes and challenges. It is argued that, like the way they adapted to globalisation, legal education and legal practice will meet new technological challenges and, as such, there is no reason to believe that there is not a bright future for legal education and the legal profession.      

Clinical trials — the personal perspective of the research physician?

2020 ◽  
Vol 75 (3) ◽  
pp. 256-263
Author(s):  
Maria Y. Egorova ◽  
Irina A. Shuvalova ◽  
Olga I. Zvonareva ◽  
Igor D. Pimenov ◽  
Olga S. Kobyakova ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Medical Care ◽  
New Technologies ◽  
Healthcare Providers ◽  
Study Drug ◽  
Well Being ◽  
Personal Perspective ◽  
Public And Private ◽  
Factors Affecting ◽  
To Receive

Background. The organization of clinical trials (CTs) requires the participation and coordination of healthcare providers, patients, public and private parties. Obstacles to the participation of any of these groups pose a risk of lowering the potential for the implementation of CTs. Researchers are a key human resource in conducting of CT. Their motivation for participation can have a significant impact on the recruitment and retention of patients, on the quality of the data collected, which determines the overall outcome of the study. Aims to assess the factors affecting the inclusion of Russian physicians-researchers in CT, and to determine their role in relations with patients-participants. Materials and methods. The study was organized as a part of the Russian multicenter face-to-face study. A survey was conducted of researchers from 10 cities of Russia (20172018). The participation in the survey for doctors was anonymous and voluntary. Results. The study involved 78 respondents. Most research doctors highly value the importance of research for science (4,84 0,39), society (4,67 0,46) and slightly lower for participating patients (4,44 0,61). The expectations of medical researchers are related to improving their financial situation and attaining new experience (n = 14; 18,18%). However, the opportunity to work with new technologies of treatment and diagnosis (n = 41; 52,56%) acted as a motivating factor. According to the questionnaire, the vast majority of research doctors (n = 29; 37,18%) believe that the main reason for patients to participate in CT is to receive quality and free medical care. The most significant obstacle to the inclusion of participants in CT was the side effects of the study drug (n = 38; 48,71%). Conclusions. The potential of clinical researchers in Russia is very high. The patient-participant acts for the research doctor as the subject of the study, and not the object, so the well-being of the patient is not indifferent to the doctor. However, the features of the functioning of our health care system form the motivation of doctors-researchers (additional earnings, professional self-development) and the way they perceive the motivation of patients (CT as an opportunity to receive quality medical care).

Tools for the development of innovative entrepreneurship in the region

2019 ◽  
pp. 66-72
Author(s):  
V. P. Basenko ◽  
V. A. Dianova
Keyword(s):  
New Technologies ◽  
High Tech ◽  
Organizational Forms ◽  
Public And Private ◽  
Economic Agents ◽  
Russian Economy ◽  
New Organizational Forms ◽  
Innovative Solution ◽  
Public And Private Cooperation ◽  
Effective Use

The article is devoted to the problems of innovative enterprise development. Since the Russian economy is in a state of financial and economic stagnation, there is a need to apply radically new innovative directions of business activities that ensure the effective use of financial potential within the framework of national projects. Practice shows that today the business sector in Russia is not able to provide a full-fledged demand for new technologies. Therefore, there is a need for substantial state support to provide centralized orders for high-tech industries. There are already examples of combining the efforts of a number of Autonomous economic entities to implement innovative reforms, new organizational forms of interaction have been formed, such as: centers for the implementation of innovative ideas; centers for engineering services; business incubators, etc. The subjects of these organizational forms of cooperation developed and proposed measures aimed at innovative solution of technological problems relevant to the regional economy, as well as for the country as a whole. Link for the efficient interaction of economic agents becomes an inherent characteristic, is the need of implementation of mechanisms of coordination with “network interaction”. It is important to note the fact that the existing relations and forms of regulation of various systems are not permanent, there are no strategic concepts aimed at long-term public and private cooperation.

Sustaining the Implementation of Dual-Language Programme (DLP) in Malaysian Secondary Schools

2019 ◽  
Vol 7 (1) ◽  
pp. 91-97
Author(s):  
Ashairi Suliman ◽  
Mohamed Yusoff Mohd Nor ◽  
Melor Md Yunus
Keyword(s):  
Secondary Schools ◽  
Teaching And Learning ◽  
Dual Language ◽  
English Language ◽  
Jel Classification ◽  
Student Perspective ◽  
Mathematics Students ◽  
Programme Implementation ◽  
Policy Makers ◽  
And Mathematics

Objective - The implementation of Dual-Language Programmes (DLP) in the teaching and learning of Science and Mathematics is an initiative under the ‘Upholding the Malay Language and Strengthening the English Language’ (MBMMBI) policy. Though it has some similarities with the previous policy known as ‘English for the Teaching of Science and Mathematics’ (PPSMI), its execution is idiosyncratic in its own way. Since its inception in 2016, the programme has entered its third cycle involving students in primary and secondary schools in Malaysia. The curiosity to scrutinise the programme implementation has led to this study. The study aims to investigate the execution of this programme and to assess its sustainability. Methodology/Technique – Gleaning through the students’ language capabilities, attitudes, teachers’ support and acceptance of the programme, the study uses a questionnaire with open-ended questions and focus group discussions to unravel the aforementioned issues. 1,530 students from secondary schools across Malaysia were selected as the respondents of this study. Findings - The results reveal findings that may represent a measure on the direction of this programme. Looking from the student perspective, the challenges confronted in addition to those put forward may further serve as an indicator for the sustainability of the program. Novelty – This study infers how the programme can be further enhanced in terms of its implementation in its fourth year since inception. The findings of this study may assist policy makers in shaping the direction of the programme. Type of Paper: Empirical. Keywords: Dual-Language Programme (DLP); Sustainability; Science and Mathematics; Students; Policy and Programme Implementation. JEL Classification: A20, A23 A29.

Big Data Cognitive Storage: An Optimum Way of handling the Educational Data in Indian Scenario

2017 ◽  
Vol SED2017 (01) ◽  
pp. 5-7
Author(s):  
Ruchi Jain ◽  
Neelesh Kumar Jain
Keyword(s):  
Big Data ◽  
Online Learning ◽  
Online Education ◽  
Data Protection ◽  
Teaching And Learning ◽  
Relevant Information ◽  
Indian Society ◽  
Digital Learning ◽  
Modern Education ◽  
Indian Scenario

The concept of big data has been incorporated in majority of areas. The educational sector has plethora of data especially in online education which plays a vital in modern education. Moreover digital learning which comprises of data and analytics contributes significantly to enhance teaching and learning. The key challenge for handling such data can be a costly affair. IBM has introduced the technology "Cognitive Storage" which ensures that the most relevant information is always on hand. This technology governs the incoming data, stores the data in definite media, application of levels of data protection, policies for the lifecycle and retention of different classes of data. This technology can be very beneficial for online learning in Indian scenario. This technology will be very beneficial in Indian society so as to store more information for the upliftment of the students’ knowledge.

Sign in / Sign up

Export Citation Format

Share Document