Big data has the potential to transform nursing education and healthcare. It allows analysis of large, diverse datasets to reveal patterns and trends. Nursing has a long history of using data to improve patient care. Now, with big data and analytics, insights can be gained from vast amounts of structured and unstructured data from various sources. This can help personalize learning and predict outcomes. However, challenges include technical issues, privacy concerns, and developing a data-driven culture. With collaboration across sectors and letting the data speak, big data can advance nursing knowledge and the learning healthcare system.
phd research proposal should be written in such a way that it makes a positive and powerful first impression about your potential to become a good researcher and allows the university to assess whether you are a good match for the mentors or supervisors and their areas of research expertise.
Check out the scope for future research proposal topics in big data 2023 - https://rb.gy/6yoy0
an introductory course for Librarians on using Big Data and Data Science applications on the field of Library Science. The course is a 2 hour course module for basic fundamentals of applying DS work.
phd research proposal should be written in such a way that it makes a positive and powerful first impression about your potential to become a good researcher and allows the university to assess whether you are a good match for the mentors or supervisors and their areas of research expertise.
Check out the scope for future research proposal topics in big data 2023 - https://rb.gy/6yoy0
an introductory course for Librarians on using Big Data and Data Science applications on the field of Library Science. The course is a 2 hour course module for basic fundamentals of applying DS work.
Opening/Framing Comments: John Behrens, Vice President, Center for Digital Data, Analytics, & Adaptive Learning Pearson
Discussion of how the field of educational measurement is changing; how long held assumptions may no longer be taken for granted and that new terminology and language are coming into the.
Panel 1: Beyond the Construct: New Forms of Measurement
This panel presents new views of what assessment can be and new species of big data that push our understanding for what can be used in evidentiary arguments.
Marcia Linn, Lydia Liu from UC Berkeley and ETS discuss continuous assessment of science and new kinds of constructs that relate to collaboration and student reasoning.
John Byrnes from SRI International discusses text and other semi-structured data sources and different methods of analysis.
Kristin Dicerbo from Pearson discusses hidden assessments and the different student interactions and events that can be used in inferential processes.
Panel 2: The Test is Just the Beginning: Assessments Meet Systems Context
This panel looks at how assessments are not the end game, but often the first step in larger big-data practices at districts/state/national levels.
Gerald Tindal from the University of Oregon discusses State data systems and special education, including curriculum-based measurement across geographic settings.
Jack Buckley Commissioner of the National Center for Educational Statistics discussing national datasets where tests and other data connect.
Lindsay Page, Will Marinell from the Strategic Data Project at Harvard discussing state and district datasets used for evaluating teachers, colleges of education, and student progress.
Panel 3: Connecting the Dots: Research Agendas to Integrate Different Worlds
This panel will look at how research organizations are viewing the connections between the perspectives presented in Panels 1 and 2; what is known, what is still yet to be discovered in order to achieve the promised of big connected data in education.
Andrea Conklin Bueschel Program Director at the Spencer Foundation
Ed Dieterle Senior Program Officer at the Bill and Melinda Gates Foundation
Edith Gummer Program Manager at National Science Foundation
At Ikeen Technologies, we combine expertise in various domains, including software development, web design, data analytics, artificial intelligence, and cloud computing, to offer comprehensive solutions that meet the unique needs of our clients. Our team of skilled professionals possesses deep industry knowledge and technical
Techeduxon is a cutting-edge technology company that specializes in developing innovative solutions and educational tools for the field of education. With a strong focus on integrating technology into learning environments, Techeduxon aims to enhance the educational experience for students and educators alike.
At Techeduxon, a team of passionate engineers, designers, and educators collaborate to create high-quality products that address the evolving needs of modern education. Their range of offerings includes software applications, interactive learning platforms, hardware devices, and curriculum resources.
Higher education institutions now a days are operating in an increasingly complex and
competitive environment. The application of innovation is a must for sustaining its competitive advantage.
Institution leaders are using data management and analytics to question the status quo and develop effective
solutions. Achieving these insights and information requires not a single report from a single system, but
rather the ability to access, share, and explore institution-wide data that can be transformed into meaningful
insights at every level of the institution. Consequently, institutions are facing problems in providing necessary
information technology support for fulfilling excellence in performance. More specifically, the best practices
of big data management and analytics need to be considered within higher education institutions. Therefore,
the study aimed at investigating big data and analytics, in terms of: (1) definition; (2) its most important
principles; (3) models; and (4) benefits of its use to fulfill performance excellence in higher education
institutions. This involves shedding light on big data and analytics models and the possibility of its use in
higher education institutions, and exploring the effect of using big data and analytics in achieving performance
excellence. To reach these objectives, the researcher employed a qualitative research methodology for
collecting and analyzing data. The study concluded the most important result, that there is a significant
relationship between big data and analytics and excellence of performance as big data management and
analytics mainly aims at achieving tasks quickly with the least effort and cost. These positive results support
the use of big data and analytics in institutions and improving knowledge in this field and providing a practical
guide adaptable to the institution structure. This paper also identifies the role of big data and analytics in
institutions of higher education worldwide and outlines the implementation challenges and opportunities in the
education industry.
PAARL's 1st Marina G. Dayrit Lecture Series held at UP's Melchor Hall, 5F, Proctor & Gamble Audiovisual Hall, College of Engineering, on 3 March 2017, with Albert Anthony D. Gavino of Smart Communications Inc. as resource speaker on the topic "Using Big Data to Enhance Library Services"
A Review of Big Data Analytics in Sector of Higher EducationIJERA Editor
This paper is about the use of big data analytics in higher education. In this paper, we see what the big data is and where does it come from. We will also try to find why the big data analytics has become a buzzword in almost every sector today through our literature review on the big data analytics and its applications in higher education sector. Then we see what the big educational data is, how it is generated and analyzed. We found that the two most important types of analytics are- Learning and academic analytics which will be discussed. Several papers describe the benefits of implementation of analytics in the education sector and the opportunities provided which will be discussed in this paper. We also found that the basic characteristics such as size, speed, variety and some other factors are responsible for some issues and challenges to the use of analytics in this sector. We will discuss those issues and challenges and discuss some proposed solutions to address them.
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Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Opening/Framing Comments: John Behrens, Vice President, Center for Digital Data, Analytics, & Adaptive Learning Pearson
Discussion of how the field of educational measurement is changing; how long held assumptions may no longer be taken for granted and that new terminology and language are coming into the.
Panel 1: Beyond the Construct: New Forms of Measurement
This panel presents new views of what assessment can be and new species of big data that push our understanding for what can be used in evidentiary arguments.
Marcia Linn, Lydia Liu from UC Berkeley and ETS discuss continuous assessment of science and new kinds of constructs that relate to collaboration and student reasoning.
John Byrnes from SRI International discusses text and other semi-structured data sources and different methods of analysis.
Kristin Dicerbo from Pearson discusses hidden assessments and the different student interactions and events that can be used in inferential processes.
Panel 2: The Test is Just the Beginning: Assessments Meet Systems Context
This panel looks at how assessments are not the end game, but often the first step in larger big-data practices at districts/state/national levels.
Gerald Tindal from the University of Oregon discusses State data systems and special education, including curriculum-based measurement across geographic settings.
Jack Buckley Commissioner of the National Center for Educational Statistics discussing national datasets where tests and other data connect.
Lindsay Page, Will Marinell from the Strategic Data Project at Harvard discussing state and district datasets used for evaluating teachers, colleges of education, and student progress.
Panel 3: Connecting the Dots: Research Agendas to Integrate Different Worlds
This panel will look at how research organizations are viewing the connections between the perspectives presented in Panels 1 and 2; what is known, what is still yet to be discovered in order to achieve the promised of big connected data in education.
Andrea Conklin Bueschel Program Director at the Spencer Foundation
Ed Dieterle Senior Program Officer at the Bill and Melinda Gates Foundation
Edith Gummer Program Manager at National Science Foundation
At Ikeen Technologies, we combine expertise in various domains, including software development, web design, data analytics, artificial intelligence, and cloud computing, to offer comprehensive solutions that meet the unique needs of our clients. Our team of skilled professionals possesses deep industry knowledge and technical
Techeduxon is a cutting-edge technology company that specializes in developing innovative solutions and educational tools for the field of education. With a strong focus on integrating technology into learning environments, Techeduxon aims to enhance the educational experience for students and educators alike.
At Techeduxon, a team of passionate engineers, designers, and educators collaborate to create high-quality products that address the evolving needs of modern education. Their range of offerings includes software applications, interactive learning platforms, hardware devices, and curriculum resources.
Higher education institutions now a days are operating in an increasingly complex and
competitive environment. The application of innovation is a must for sustaining its competitive advantage.
Institution leaders are using data management and analytics to question the status quo and develop effective
solutions. Achieving these insights and information requires not a single report from a single system, but
rather the ability to access, share, and explore institution-wide data that can be transformed into meaningful
insights at every level of the institution. Consequently, institutions are facing problems in providing necessary
information technology support for fulfilling excellence in performance. More specifically, the best practices
of big data management and analytics need to be considered within higher education institutions. Therefore,
the study aimed at investigating big data and analytics, in terms of: (1) definition; (2) its most important
principles; (3) models; and (4) benefits of its use to fulfill performance excellence in higher education
institutions. This involves shedding light on big data and analytics models and the possibility of its use in
higher education institutions, and exploring the effect of using big data and analytics in achieving performance
excellence. To reach these objectives, the researcher employed a qualitative research methodology for
collecting and analyzing data. The study concluded the most important result, that there is a significant
relationship between big data and analytics and excellence of performance as big data management and
analytics mainly aims at achieving tasks quickly with the least effort and cost. These positive results support
the use of big data and analytics in institutions and improving knowledge in this field and providing a practical
guide adaptable to the institution structure. This paper also identifies the role of big data and analytics in
institutions of higher education worldwide and outlines the implementation challenges and opportunities in the
education industry.
PAARL's 1st Marina G. Dayrit Lecture Series held at UP's Melchor Hall, 5F, Proctor & Gamble Audiovisual Hall, College of Engineering, on 3 March 2017, with Albert Anthony D. Gavino of Smart Communications Inc. as resource speaker on the topic "Using Big Data to Enhance Library Services"
A Review of Big Data Analytics in Sector of Higher EducationIJERA Editor
This paper is about the use of big data analytics in higher education. In this paper, we see what the big data is and where does it come from. We will also try to find why the big data analytics has become a buzzword in almost every sector today through our literature review on the big data analytics and its applications in higher education sector. Then we see what the big educational data is, how it is generated and analyzed. We found that the two most important types of analytics are- Learning and academic analytics which will be discussed. Several papers describe the benefits of implementation of analytics in the education sector and the opportunities provided which will be discussed in this paper. We also found that the basic characteristics such as size, speed, variety and some other factors are responsible for some issues and challenges to the use of analytics in this sector. We will discuss those issues and challenges and discuss some proposed solutions to address them.
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Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
#vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore#blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #blackmagicforlove #blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #Amilbabainuk #amilbabainspain #amilbabaindubai #Amilbabainnorway #amilbabainkrachi #amilbabainlahore #amilbabaingujranwalan #amilbabainislamabad
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
2. BIG DATA IN INSTRUCTIONAL
ELUCIDATIVES
by
Dr.S.Chandrakala, M.Sc(N), Ph.D (N).,
Principal,
Velammal College of Nursing, Madurai
Tamilnadu
3. “Instructional Designers are Quickly Bridging
the gap between learners and knowledge
providers”
“Elucidative is not just what it looks like and
feel like, Elucidative is how it works”
4.
5. INTRODUCTION:
• The Term “Big data” is relatively new, but the
concept is not new to Nursing. Nurses have used big
data to improve patient care since the down of our
profession. Florence Nightingale applied analytics to
big data by using diagram of the causes of mortality
in the Army in the East” (1854-1855) changed our
understanding of the impact of sanitation in
hospitals she did it with note cards! Imagine what we
can accomplish now using computers.
• The New Trend has transformed the whole scenario
in a bigger way and that is – Big data.
6. What is Big data:
• “Big data” is similar to “small data” but
bigger in size (Terabytes (1012 bytes) to
Zetabytes (1021 bytes)
• Big data is data that exceeds the
processing capacity of conventional data
base systems. The data is too big, moves
too fast does not fit to the structure of
traditional data base architectures. (Edd
dumbol – 2016)
• Large data set collected through multiple
computers and the analyzed in such a
way that association, trends and patterns
of human behaviour are revealed.
• It’s also known as “Predictive analytics”
8. Turning Big data into value:
The datafication of Analyzing Big data
our world
- Activities - Text analytics
- Conversations - Sentiment analytics
- Words - Face recognition
- Voice - Voice analytics
- Social media - Movement analytics
- Browser logs
- Photos
- Videos
- Sensors
etc…
Volume
Velocity
Variety
Veracity
VALUE
“Big data is not big if you know how to us it”
9.
10.
11. Benefits of Big data for Educational Research:
- Demographic - Many Participants (Tall)
- Behavioural data - Large number of variables
- Achievements data (Wide)
Collected through schools, - Multiple fine grained observations
Govt.Agencies, Attendance, - Theoretically coded (deep)
Test scores, transcripts, - Massive open online courses
Surveys, census data,
International
Test Scores, State
Standardized Test
Score
Educational Big Data
Administrative data Learning Process data
+
Address
Educational
Inequities
12. Why is Big data such a Big deal?
1. The data is massive
2. The data is messy and unstructured
3. Data has become a commodity, that can be sold
and bought.
4. The possibilities of big data are endless.
13. Needs of Big Data:
Description
Right living Informed lifestyle choices that promote well being and
the active engagement of consumers in their own care
Right Care Evidence-based care that is proven to deliver needed
outcomes for each patient while ensuring safety.
Right
Provider
Care provider (eg.nurse, physician) and setting that is
most appropriate to deliver prescribed clinical impact.
Right Value Sustainable approaches that continuously enhance
healthcare value by reducing cost at the same or better
quality.
Right
innovation
Innovation to advance the frontiers of medicine and
boost R&D productivity in discovery, development, and
safety.
14. Big data is going to impact education in a big
way. It’s inevitable, It has already begun.
15. Big data Applications in Education:
Higher Education Analytics:
• Big data enables the maximization of student
learning. The tracking of student performance,
extracurricular interactions and social behaviour
results in the creation of a profile which is mapped
with student profiles from the institution network to
suggest the most relevant major.
Student Engagement:
• Data mining can help universities to get a holistic
perspective about the students, which allows
institutions to create immersive learning experiences
for all students.
16.
17. Big data Analytics:
• Examining large amount of data which help for faster,
better decision making.
• Appropriate information
• Identification of hidden patterns, unknown
correlations.
• Competitive advantage & Education needs an
enduring technology partner.
• Better business decisions, strategic and operational
• Effective marketing, customer satisfaction, and
increased revenue.
18. Learning Analytics:
• “Information is the oil of the 21st century and
analytics is the combustion engine”
• “Learning analytics is the use of intelligent data,
learner produced data and analysis models to
discover information and social connections for
predicting and advising people’s learning”.
eg: Student dropout predictions systems, live
statistics about the learners.
19. Academic Vs Learning Analytics:
Academic Analytics Learning Analytics
A process for provider higher
education institutions with
the data necessary to
support operational and
financial decision making
The use of analytic
techniques to help target
instructional, curricular and
support resources to support
the achievement of specific
learning goals.
Focused on the business of
the institution
Focused on the student and
their learning behaviours.
Management / Executives are
the primary audience `
Learners and instructors are
the primary audience
20. Documentation Guidelines that
Promote Big Data Use
1. Use and document according to
evidence-based practice
standards.
2. Document consistently, using a
standard terminology.
3. Limit the use of free text.
4. Avoid using “within defined
limits”.
5. Support research sponsored by
organization.
6. Learn about nursing informatics.
21. Learning Analytics:
Predictive Analytics
* Predictive future outcomes
and behaviour.
Analyzing Trends
* Identify historical trends and
correlations.
Reporting data
* Summarize historical data.
22. Data Analysis:
• Big Data Analysis requires
sophisticated scalable and
interoperable algorithms.
• Hadoop is the commonly used data
analyzer for Big data.
What is Hadoop:
• “Flexible and available architecture for
large scale computation and data
processing on a network of commodity
hardware. It’s an open source
distributed storage and analysis
application that was developed by
Yahoo, based on research papers
published google.
23. Challenges:
• Technical: Handling big data, inter operability
of data systems, asking the right questions.
• Institutional: Requires a culture of data driven
decision making and transparency in models
that analyze data.
• Privacy and Ethics: Maintain student and
teacher privacy while allowing data
aggregation to drive powerful models.
24. Cont…
• Collaboration: Working sectors to build
capacity and knowledge, include learning
systems designers (often commercial entities),
learning scientists, I.T departments,
administrators and educators an teams.
• Health care data is unique, it’s complex and
diverse, making many traditional or linear
analysis in applicable, data’s are stored in
multiple places (HR software, EMRs, different
department like Radiology, Pharmacy, etc)
25. The Future:
Nurse: Let the data Speak!
• Nursing needs big data, and big data needs nursing.
As a profession we have much to gain and much to
contribute to health care system informed by the
discoveries enabled by data science.
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Instructors
Facilitators Teacher Analysts
26. Conclusion:
• The promise of massive data assets lies not
merely in their size, but in the way they are
used. Adequately utilized big data can be a
practically inexhaustible source of knowledge
to fuel a learning health care system.