Big data has become an important part of all kinds of industries in the last few years. The applications of big data is predicted to generate a revenue of 103 billion dollars by 2025. Due to its highly secured yet easy to access database,...
Big data has become an important part of all kinds of industries in the last few years. The applications of big data is predicted to generate a revenue of 103 billion dollars by 2025. Due to its highly secured yet easy to access database, it has become the crucial element in business analytics as future decisions of any industry. Due to its voluminous field of information, every industry that you name is benefitting from it in one way or the other. Here are the biggest real-time applications of big-data in various industries around the world.
The importance of big data in healthcare can be easily explained as, the access to any information on the diseases which are spreading around the world in real-time. The data generated using big data at first was not accurate and lacked the ability to standardize and consolidate data. But with new data analysis and websites, the healthcare industry is able to personalize medicines and prescriptions. Researchers are mining data with surveys and even trying to find out the spread of flu over an area. It has also proven to help in the diagnosis of illnesses, identifying side effects, and in reducing the cost according to the demands.
There are several benefits of using big data in the manufacturing industry. It is currently the biggest industry using big data for its projects. Some of the applications of big data tasks in manufacturing industries include building product quality and tracking the defects with online surveys and reviews. It is also helping in planning and tracking the supply channels. Big data is used even at the beginning of each manufacturing project to track any defects in the product. It is also helpful in increasing energy efficiency in the manufacturing and transportation processes. Today the technology has evolved in new ways to test and simulate new manufacturing processes.
Even the entertainment industry is getting benefitted with big data in various ways. It is coming up with new business models which is helping them in new ways to create, market, and distribute their content. Today the media and entertainment is available on each and every screen device. It is easily accessible but still difficult to steal the content. Big data offers the taste and interests of people around the world which helps the media to tailor their content to create mass appeal. This is done with the help of different data-mining activities. Big data helps the entertainment industry in several ways. It can predict the demands of the audience. It can target the right people with advertisements to receive potential consumers. It can monetize the content and create new ways to generate revenue.
Coping up with your studies and job should take almost all of your time of the day. Same is the case with many students who are finding it hard to take time out of their hectic schedule between college and work while also maintaining their health. Statistics assignment can become a burden for students and a hectic task to finish in time. While everyone wants to secure better grades, they are failing to provide a decent assignment for evaluation due to less time and more work. Assignment writing is a never-ending task for students, which is also inevitable during academic life. There are many issues students may face while writing the assignment, such as lack of time, limited knowledge sources, poor writing skills, insufficient research, and also boredom.
There are several online websites which offer to write the assignment on your behalf so that you do not have to worry about it and focus better on your studies, a job as well as outside life. Hiring an expert to write a paper for students has been trending recently, and with high demand, more paper writers are showing up to get the work done. Here are a few tips to get the right kind of assignment help from the experts.
Find a reliable helper
It is necessary to look for a reliable assignment helper who is trusted by many. Do proper research on the internet and check out the profile of the experts who are willing to do the job for you. Read the reviews about these experts from other students and what they had to say about a particular website which offers this service. Students must know their requirements and pick the best helper only after analysing their services.
Check the price
Price matters a lot for students since they are not permanent employees and have a minimum source of income. Before you spend more than what is required, check out the prices for which an expert is willing to help you with your assignment. Pick from the website which offers quality work at affordable fees.
Know the qualifications of the expert
Always make sure that you are taking help from a professional. Hire someone ,thorough in the subject you want the help for. Statistics experts can help do my statistics assignment for me due to their hold in-depth knowledge about the concepts and the researches. An unprofessional helper is as good as you or your friend helping you with the assignment while looking for answers over the internet. Qualification of the expert is necessary to analyse his or her previous works. It will matter while creating a quality assignment.
Provide the details of your assignment
When you have an expert, explain the details of your assignment properly. Put forth your demands and requirements. Most of the websites will have a The hiring where you can freely write down the details of your assignment. Fill in the details with accuracy and mention the deadline as well because you do not want to miss out on your submission date. Get in direct touch with your expert and keep following the progress of your assignment. Ask them for any doubts and questions that arise during the work, and they should be able to provide you with the right answers.
Writing and submitting an assignment can turn out to be really hectic for the students, especially when they have a deadline. Students face difficulties due to lack of writing skills, less understanding of the subject, or busy schedule between their classes and work. However, the students want to get good results in their school and college period to have a better profile before stepping into the professional world. Getting low grades in the assignments even after excelling in the exams can be a huge let down to the profile of the students, so they opt for the assignment help providers online who can do the job for them. Here are the five famous websites which offer help in exchange for a moderate fee.
As the name suggests, this website provides excellent quality and guaranteed on-time delivery of statistics assignment answers and is one of the most trusted company for the work. The company also promises no plagiarism at all their works and has more than fifteen thousand satisfied customers. They are popular for their help in Australia, UK, Ireland, USA, India and many other countries with reputed universities.
They are the largest and the highest rated online tutors in the world, with over 3000 expert tutors. The work under the motto “Better grades start here” and have proven to be true to their words. They have reported providing 10 million one-to-one online tutor sessions. Their major services include tuitions and assignment helps for subjects such as Maths, English, and Science.
The company aims towards reestablishing the education system with the latest means of technology and promotes a broader earning experience. Jiksha helps thousands of students every day with their school work and problems based on homework and assignments gets solved with ten minutes in 80 percent of cases. Students can also post homework questions online to get the help of the tutors.
The company follows the motto, “Everything you want to know about assignment help” and provides the help regarding the homework, assignments thesis and projects. They host three major kinds of help, namely, the assignment help, thesis help, and online tuition. There is a wide range of subjects which they offer help for such as C++, Java, finance, marketing, programing and many more. The website hosts more than a thousand online tutoring session every day.
The company was founded in 2000 and provides help with the completion of assignments to the students for various subjects such as Mathematics, English, Algebra, Chemistry, etc. for students of every grade in school. The tutors are highly educated, and they believe that every child can achieve excellence with guided teaching and personal attention. The website works on developing self-confidence in the students and slowing make them self dependent on solving their homework and assignments.
Writing a college essay might be tricky sometimes because you need to be very careful when shifting your gathered information on the paper. Your teacher is going to read the essay that you have written, therefore, you should show enough care so that they do not find any negative points in the essay that you have written. Sometimes, the marks that you gain in the essay are also included in the marks of the final exam.
So, if you want to obtain better marks, you must be very careful about writing the essay that is assigned by your teacher. If you are not good at writing essays, don’t worry because essay writing is a complicated task because you need to shift your gathered information on a piece of paper in a very creative way. These skills can be developed over time and you can even become an expert writer if you are committed to doing so.
Usually, students face trouble when writing a college essay outline but the tips we have brought for you will help you get rid of these problems. Here are the tips that may help you when writing a college essay.
Collect and discuss
The first step in writing a college essay is to collect as much information as you can. Make sure that the information you are collecting is authentic enough to convince your teacher. Now, that you have collected the information it’s time to discuss the information with your teacher or a fellow student. Thus, you’d be able to understand that whether the information collected is perfect for being a part of the essay or not.
Writing an essay isn’t a onetime attempt. You need to be prepared to make as many changes as possible. There should always be room for some change. If someone has told you that there are some flaws in the essay, then you should be ready to make revisions according to their ideas. However, make sure that the changes you are making in the essay are participating in improving your work instead of ruining it.
Don’t address the details
Depending on the length of the essay, you should avoid discussing the details. Teachers usually like to read the important points only. So, you should only discuss the main points of a topic and then move to the next one. Going to the details would take the teacher’s attention away from your essay and he won’t show any interest in reading the rest part.
The sub-headings are really important to grab the attention of the reader. The sub-headings usually describe 50 percent of the information that is described below. Therefore, you should select the sub-headings accordingly.
Because computers are becoming more common at this time and age, there is a growing need for people with computer skills. If you want to practice a computer, there are many different areas you can specialize in, some of which offer better opportunities than others. New computers are expensive, even basic ones, which prevents many people from owning a computer. With such a large amount of normal life going around computers, the need for access to the computer is growing daily.
One solution is to use free computers available in public libraries. This is a great service if you need to use it during library hours. Borrowing a computer from family and friends is another option, but it gets old quickly. You can learn more on lnrgaming.com.au/.
Many people get a new computer every few years because they simply want the latest and best technology or they need computing power to design graphics or engineering applications. They are ideal people who buy a computer using a computer because there is a good chance that when they bought a computer a few years ago, it was the best model with the fastest processor available. The computer purchased a few years ago using the fastest available processor became slower for the average user.
There are relatively few components susceptible to computer failure, which makes the due diligence process before purchasing a used computer is very simple. Some simple tests and fine controls are sufficient in most cases and do not require a computer technician and can be performed by people with basic knowledge of computers. What Makes a Computer Good?
A computer’s hard drive is necessary to run it, and it may mean more than just a computer that is not working. It may also mean the loss of data stored on it. Backing up important files is a good practice for every computer user, but especially for someone who buys a used computer. The available backup options include copying files to a DVD if your computer has a DVD burner and USB memory.
Hard drives are a multi-computer component that has moving parts that you can use. A hard drive that causes excessive noise or noise, which varies in size or size, is not a good thing. The best time to listen to a hard disk is to read or write data, such as when you start your computer.
Many elements in the computer and motherboard generate great heat, so computers have fans that keep them cool. If the computer fan is not working, it is highly likely that the components have been damaged. Dust and excess dirt on the processor cooling fins can prevent the processor from cooling properly, increasing the possibility of damaging the processor. To check if the fan is in good condition, listen to low volume.
Restart the computer several times to test the operating system. It should not take too long to start and should not be disconnected or paused during the startup process.
You must also check all the other equipment. This includes things like CD or DVD drives, you must open and boil the trays, and you should be able to read data from the disc. If it is writable, you must be able to write to the disc. You should also check your keyboard, screen, and mouse.
No other country in Latin America experienced such a profound transformation of the equipment and use of technology for education as Uruguay. The Ceibal Plan was born in 2007 and distributed computers in primary and then secondary to all students in the country. The country is the first in the region with almost total connectivity in schools. But Ceibal’s secrets are not in the equipment and connectivity. Ceibal is moving from hardware to software. The base infrastructure allowed to launch an incipient revolution in the use of learning modalities mediated by technology. What changes were introduced? How far has it come and can it arrive?
Ceibal has launched deep and expansive educational innovation devices:
1-Digital educational content.
Ceibal has an ample digital library , full of multimedia resources, didactic units and a multiplicity of activities to plan the classes aligned with the curriculum. The library also offers textbooks and reading books for students, thanks to agreements with the publishing industry. This offer is changing the idea, the market and the use of the traditional textbook .
2-Learning management system.
The communication between teachers and students in the digital cloud is mediated by a platform called CREA 2, a typical case of the Learning Management System . It is the second version because the first model was not giving results. This shows the flexibility and the concern for the efficiency of Ceibal. CREA 2 was purchased from Schoology and works as a social network. It is very intuitive and allows to organize all the contents and digital educational activities with discussion forums, an active system of communication, evaluation and qualification of the students.
3-Adaptive mathematics learning.
One of the great innovations of Ceibal is the introduction of an adaptive learning platform for learning mathematics, called PAM. The platform was purchased from the German company Bettmarks and has more than 100 thousand activities that cover the curriculum from 3 rd grade to 3 rd grade. Students perform exercises planned by their teachers and the platform automatically adjusts the level of difficulty and type of activities based on predictive algorithms. In parallel, a dashboard gives teachers a detailed report on the course and the difficulties of their students. Its usage rate is low but it is growing and recent reports they show that the teaching of mathematics is radically changing.
4- Virtual English teaching .
One of the greatest revolutions of Ceibal is underway in the teaching of English at the primary level. Given the lack of language teachers in the country, Ceibal designed in agreement with the British Council a videoconference teaching program with distance classes of professors located in different countries. The most recent evaluations show that the model achieves results identical to those obtained by students with face-to-face English teachers and that achievements are on the rise.
5- Online evaluation .
Uruguay is perhaps the country in Latin America that has the strongest pioneering experience in the implementation of an online assessment system for students . This is possible thanks to almost universal connectivity. Online assessments allow the construction of arrays of large amounts of data ( Big Data ) that open the doors to border studies that the Ceibal Foundation has begun to develop on how students learn. The assessments also allow for immediate feedback and strengthen teaching practices.
6-Administrative control system.
The Guri system , implemented by the Council of Initial and Primary Education is another innovative tool to control the flow of administrative information. The system takes attendance data from students and teachers directly online. This allows families to know in real time if their children are in school and sends alerts when they have missed consecutively. Online loading also reduced administrative times by avoiding paper format.
7-Video games, programming and robotics.
Ceibal has deployed innovative arms in various fields. An example is the creation of educational video games on the DOMO platform . Another case is the successful workshops and equipment of robotics for students and the increasing offer of programming courses. These actions are enhanced with the Robotics, Programming and Video Games Olympics .
8-The training of teachers.
More incipient is the search for digital devices of continuous training. Ceibal made an alliance with the Tu Clase system , which develops a personalized digital portfolio of teacher training. It also has a body of Ceibal support teachers (MAC) to boost pedagogical renewal with the use of technologies in schools. More recently he sealed an alliance with the Global Learning Network , led by Michael Fullan, to develop profound pedagogical changes in 100 pilot schools.
Paradoxically, Ceibal was based in a country with strong unresolved educational problems, educational results that improved much less than the Latin American average and a complex education governance model, where changes seem to be especially difficult to implement.
Ceibal innovation devices have entered with different levels of acceptance, impact and scale in the system thanks to the “Trojan Horse” of the equipment and connectivity. Ceibal is a unique case in Latin America of impulse to educational innovation mediated by technology. Its incipient results can be observed in a multiplicity of reports: ANEP , IDB , UNICEF , UNESCO . Its development is still incipient to have measurements that allow its impact to be identified. Perhaps more than traditional measures to measure their effects, it will be necessary to create new visions about what it means to learn and how the pedagogical renewal that the small southern country is trying to measure can be measured.
In 2008 Clayton Christensen and Michael Horn made a provocative prediction: in 2019 half of the courses of secondary education in the United States would be virtual. The book Disrupting Class was a controversial revelation. He announced that this process was inevitable, that it was based on the mathematical monitoring of the evolution of online education and that nothing could stop it.
A few days ago the sequel to that book was published. It is titled Blended: Using Disruptive Innovation to Improve Schools . Its authors are Michael Horn and Heather Staker. Perhaps it is the book of the year for educational innovation, at least in the weight it will have in the discussions.
Horn, the co-author of both books, indicates in 2014 that his 2008 prediction not only remains accurate, but perhaps even a bit conservative. His prediction is that schools in the United States are reaching their tipping point, based on three urgent needs for change: the desire to personalize learning, the desire to expand access to education and the desire to lower the costs of schooling.
The three paths lead to Blended (Hybrid): an educational system that will have a face and a virtual part, where students will control the time, place and pace of learning.
The authors emphasize that they do not trust completely virtual models: they do not work in practice and are surpassed by hybrid models.
The book deals with classifying hybrid models and finding concrete examples for each of them, because that label means very different things.
The Rotary Model has several types of format: station rotation, laboratory-based rotation, inverted class and individual rotation. Basically it is about students who do part of their work online, rotating in time with those activities they do with a teacher. For example, students go for a period of time to a laboratory with computers and work there online with videos and applications, with a tutor who facilitates activities. Or they see videos in their homes indicated by their teachers as homework for the next class.
This model is not disruptive. But a specific type of Rotary Model itself is disruptive. It is about individual rotation . For example, the Carpe Diem school in Arizona has a large classroom with computers. There the students rotate every 35 minutes of stations that go from online learning to individual rhythm to stations with specialized software and finally to team work stations. Each student has a road map that looks completely different from traditional groupings. You can see a video here of the experience.
The Flexible Model continues in the description of the authors. In this case the backbone of learning is in physical schools, but online. In other words, learning is fundamentally based on individual or group interactions with digital environments. A video of the San Francisco Flex Academy can be seen here.
The “A la carte” model offers complete online courses. In other words, there may be courses taken in physical schools and courses that are accredited without attending school. In the United States, this model is expanding rapidly. Six states already had in their legislation in 2014 the obligation that all students who want to graduate had to do at least one online course, to massively incentivize this format.
Finally, the “Virtual Enriched” Model , in which students take online courses directly but have the obligation to carry out face-to-face learning sessions with a teacher every week. This model arose as a consequence of the failure of pure online models, which began to open face-to-face sessions with teachers. You can see a video here of Henry County Schools .
As seen in the graph of the initial photo, these models can be a continuity of traditional education with virtual elements or a deep disruption. The authors point out that if when visiting a learning room one does not find where the center of the class is then it is likely that he is visiting a disruptive environment.
The rest of the book is a guide to generate hybrid disruptive models of schools. A free sample can be seen in the MOOC that the authors put together with the contents of the book, which is posted on the Khan Academy .
Pearson ,the world’s largest education company, has taken a new direction in its business strategy. A few days ago he sold his two huge media companies: the Financial Times for 1.3 billion dollars and The Economist for 730 million. Many wonder what Pearson will do with those extra $ 2 billion of income. The company already gave the answer: they will invest in education.
The decision justified: “We have decided to focus all our business on our greatest opportunity: helping people to progress through education … the Pearson Board is clear that this requires our absolute attention“.
It is a sign of a new world: it seems to be more profitable to invest “from below”, influencing the formation of billions of people, than “above”, influencing world politics with large media. If education is the future, Pearson wants to be sure to control it.
Its strategy advances towards an increasing expansion of the educational market. Even before these sales, it was the largest education company in the world. Its competitors have to be looked for in other leagues: the large textbook publishers (which are lagging behind) or the large technology companies that are entering the educational business, such as Google or Apple.
From being a large publishing company, it took its biggest strategic step in 2000, when it bought the largest US standardized testing company for 2.5 trillion dollars. The gigantic educational transformation commanded by the No Child Left Behind initiative made the exam industry grow in that country and Pearson took over a juicy market.
But the exams are only a strategic piece in a complex and dynamic mechanics. Pearson is everywhere:
-It is the largest textbook company in the world, although it is moving decisively in the digitization of digital educational content . Its strategic partnership with Apple and Microsoft has brought millions of tablets to schools loaded with a digital curriculum for students.
– Your partnership with Knewton , the world’s largest adaptive learning platform, is the spearhead of the customization of teaching through algorithms.
– She owns Powershool , the largest learning management system, with more than 40 million users and 50% of the schools in the United States.
He created MyLab and Mastering , one of the most successful platforms (especially in mathematics) of adaptive higher education learning, with more than 11 million users that control their learning with daily tasks, tutorials and assessments.
-It is a member of the Arizona State University , the largest university of completely online degrees in the United States.
– Administer billions of multiple choice exams per year (so many that you can not record the exact amount) and 111 million open exams (essays).
– Won tenders to administer the OECD PISA test in 2015 and 2018 in some 70 countries around the world.
– He is in charge of numerous teacher evaluations , with class filming and peer reviews, a methodology that brought much controversy in the state of New York .
-He owns hundreds of schools, from the chain of Omega private schools in African countries, where you pay daily for learning , to the Charter Connections Academy , online schools in the United States.
-He has invested more than 2 billion dollars in adult education with the CTI chain of computer learning in South Africa, Wall Street English, a large business school in China and English teaching in Brazil.
-Bought Cogmed , one of the most famous memory training programs for people with attention disorder, created by the Swedish Torkel Klingberg.
-In Brazil, she owns several “ensino systems” such as COC, Dom Bosco, Pueri Domus and NAME, which appear with a prominent place in the list of their projects, pointing out the importance of the emerging Brazilian market in education.
These are just some of Pearson’s diverse and almost countless initiatives and products. Its secret is to have appropriated the axes of education: the curriculum and the evaluation. Master what is taught and what is learned. “If you can measure it you can control the result” seems to be Pearson’s motto. The company that literally measures everything in education can try everything and know what impact it gets.
On that basis it is testing and winning markets (although it also attracts a lot of controversy ). That’s why nobody like Pearson is writing the future of education. It is like a heavy, lightweight giant: its immense textbook machinery and stable markets go hand in hand with countless new businesses and initiatives. Dominate big and small.
Proof of this is one of its most innovative initiatives: Revel . Pearson presents Revel as “exactly what you wanted” (see the video ” Exactly what you wanted “). It is an immersive platform where all the contents “come to life”. Revel is the replacement of textbooks for animations, videos, social networks, real-time challenges and multiple options to “reimagine learning”. Revel proposes to “read a little and do a little” all the time to maintain the constant enthusiasm of the new.
To get an idea of what’s coming, we recommend seeing your research and innovation network . The use of analytics for adaptive learning is at the center of its agenda, with the development of Artificial Intelligence to correct trials and create massive systems of personalization of teaching with qualitative exams.
This interview with Don Kilburn , his president in the United States, goes further and shows how Pearson thinks about the future of education. There it is observed that the center of the educational universe is in control of the data: nobody like Pearson has so much information about how students learn on this planet. What a single company will do with that information is something we should all ask ourselves.
Artificial Intelligence is reaching education. It is no longer science fiction. The use of large amounts of data (Big Data) to direct student learning is already part of real new experiments. It is a central moment in the history of education: who will control the data? What uses will they have? What benefits and what risks will they bring? Who will be the winners and losers? Many crucial questions are opening up. Here we will see two cases that help to formulate these questions and to venture possible answers.
The first path of Big Data is the model of the AltSchool, already reviewed in this blog . AltSchools are a rage in the world of EdTech. Its creator is Max Ventilla , whose previous years in Google led him to a frontier vision in the use of predictive algorithms.
The AltSchools are micro-schools, very small, with less than 150 students. Its central purpose is to become the largest educational revolution of the 21st century. That is why they invest 10% of their budget (which was agglomerated with US $ 133 million of recently collected capital, with Mark Zuckemberg of Facebook as the main investor) in research and development.
What AltSchools do today is a laboratory of what, according to Ventilla, will be a new model of schools and educational system in the next 30 years.
In the AltSchool is experiencing is the most extreme model of student observation to personalize teaching. This includes tracking with cameras and microphones all the interactions of students within the schools with software to track body and facial movements and voice recognition.
The monitoring of the expressions on the students’ faces allows us to perform an analysis of each class: the lighting of the classroom changes automatically giving a signal when the noise of the students becomes too loud. The teacher is assisted by the machines to control the course and is evaluated by the level of attention and interest of their students.
In parallel, the AltSchools have a “playlist” of learning for each student, with various personalized digital activities.
Facial recognition based on the filming of students ( see here the EngageSense system, its most advanced prototype) provides data to a computer that uses algorithms to measure the level of commitment to the task and suggest to teachers activities. To summarize (and simplify): if students do not pay attention a computer will notify the teacher.
This first model of experimental use of Big Data in education opens two big ethical questions: what happens with the privacy of the students? Who can access this border technology?
The first issue faces great legal gaps, as analyzed in this note . Big Data is almost completely deregulated all over the world. Who has the right to film and analyze the facial expressions of our children? What are the consequences of knowing that one is being filmed all the time? Is not this educational model a threat of a Big Brother-style panopticon, of absolute vigilance that can change the personality of students, their relationships and threaten their privacy?
The second question refers to equity. AltSchools are elite schools that were born in Silicon Valley: they cost approximately $ 30,000 per year for those who want to attend them. If they really have results, if they achieve the personalization of teaching through machines, will not they be widening the social gap through exponential educational changes that benefit the privileged?
The other path of Big Data in education has a very different orientation, but it shares the radical innovation component that allows advances in Artificial Intelligence based on algorithms. It involves the use of large amounts of data to analyze the functioning of an educational system, detect inequalities and act to reduce them.
A revealing example of these possibilities was systematized by different Chilean researchers who won the “New debates, Data for development” contest of the IDB. The study was titled: ” Supporting the formulation of public policies and decision making in education using techniques of massive data analysis: the case of Chile”.
Using data science techniques, the researchers analyzed open data published by the Chilean government on educational offerings, social contexts and various indicators of educational performance. One of the axes of the analysis was to study where the students lived according to the school they attend, and even measure the time it took to get to school through different transportation routes.
A map of these characteristics is a powerful predictor of school drop-out, since it allows the distance between students and schools to be personalized. With these data, the detailed creation of new schools (or transport systems) could be planned to cover unjustified demands and injustices without this level of disaggregation of information.
The study built a model to predict dropouts that initially used 127 attributes of students, establishments and the blocks where they live or are located, to feed an automatic learning algorithm. These attributes were reduced to 31, among which appear as significant variables such as the vulnerability of the school, the coexistence, participation, self-esteem and motivation of the students.
The study created a “geography of educational opportunities”, also analyzing equity in learning outcomes. The use of the disaggregated data made it possible to accurately map the educational segregation, which concentrates the students with the best socioeconomic status in the closest schools, with the easiest access and the best learning outcomes.
In sum, this new generation of data use has immense potential both to personalize teaching and to map inequalities in such a detailed way that they facilitate State action and directly attack the factors that promote school dropouts. The risks of the first model should not be underestimated: to erase the privacy of students, to control private life from large corporations or from the same State, to aggravate social gaps through technological gaps. But also their possibilities of personalization of education should be studied with rigor in the coming years.
It is time to open the questions, the debates, the experiences and create a new educational discussion: the use of Big Data to promote equity and the passion for learning. The governments of Latin America can not leave these discussions to attend to emergencies: here some of the answers to these same urgencies may be hidden.
The best investment that anyone interested in the future of education can make is to spend 10 minutes of their lives watching this video . You can do it right now and then resume this note. Here we wait for you.
Who speaks is José Ferreira, the CEO of Knewton . He is not a dreamer or a science fiction writer. He is the CEO of the world’s largest adaptive learning company.
What does Knewton do? It’s not easy to explain Knewton to someone who does not know much about adaptive learning. As defined in its recent White Paper or in the video tutorial , Knewton is a flexible platform that produces adaptive learning based on the analysis of large amounts of interactions in digital learning environments.
It does not work alone, it needs partners. What are your partners? Mainly publishers and producers of digital educational content.
What do you ask your partners and what do you offer them? It asks for contents that are used by the students, typically a digital textbook, an online evaluation and all the existing information of the students’ learning that may have a digital format. It offers an analytical system of all the information produced by millions of interactions between students, content and learning.
With this information, students’ learning can be personalized based on previous information about their learning patterns and those of millions of other students in similar situations. This allows you to progressively create a curriculum for each student each day. Not every day but every moment: the adaptation will be in real time.
If at this point they did not watch the video or chose to continue reading the note to see it later, José Ferreira tells what Knewton does. Start by saying that everything in the future will depend on the amount of information that can be measured. Currently, says Ferreira, Google or Facebook manage to get some tens of data per person every day. In contrast Knewton gets between 5 and 10 million data per day per student.
How? Everything an online student is doing is being monitored by Knewton at the atomic level of the concepts. Every word that a student reads has a tag that identifies that and other hundreds of thousands of actions per day. How much a text begins, how it reads it, when it leaves it, what it does next, if it sees a video, if it answers a quiz, if it asks something to the virtual teacher, if it is distracted on the web, if it changes the subject, if it has gaps , if it works or not, with what pace, etc.
This is a part of the immeasurable information that Knewton is processing. The other part is the learning measured by different tests. The system analyzes the learning achieved by the students and can establish predictive models with a level of atomic precision.
Ferreira says it explicitly: ” We know exactly when you will fail and we can change it. We know literally everything about how you learn and how you would learn better … We have more data about how our students learn than anyone else about anything else on earth and not even the second one is close to us . ”
Knewton then produces adaptations, individual routes for each student. If a student is reading at a slow pace or is mistaken in intermediate questions of reading control or if he does not make an inquiry on time, Knewton recreates the learning pattern of that student in his history and confronts him with millions of other cases. Then you can accurately predict the result that you will get in the test and remedy it in advance.
It’s like the movie Minority report : a crystal ball allows you to see the future and modify it. Instead of sending a policeman to capture the killer before committing the crime, Knewton sends a change of pace, contents and pedagogical formats to ensure that each student learns on time and does not fail the test.
In this way the single textbook disappears. In his replacement arrives an individual curriculum.
A student who is studying social sciences will have an individualized content about the history of the French revolution. You will start reading a short text because you can not concentrate much, then you will see a video, then you will be asked easy questions to motivate you to keep reading something else, always knowing how many words you are able to read and with what didactic style. Then you will pass a small more serious test and you will be gratified with an hour of rest, then a brief review lesson will end with the perfect study day, where the maximum learning potential of that student’s French revolution will have been achieved.
This way, each student will go through a unique, perfect learning situation, every day. Everyone will achieve the maximum possible learning.
That is the dream of adaptive learning based on computer assistance.
Is it a science fiction dream? It does not seem like a dream to see that Knewton has a strategic alliance with Pearson , the largest education company in the world. Knewton needs partners as massive as possible because their future depends on achieving the largest possible proportion of the educational market. Like Google in the internet search. Like Facebook on social networks.
Knewton is achieving that dominant position. He recently agreed on a partnership with Microsoft, is a partner of the world’s leading publishers, in France he is a partner of Le Livre Scolaire and since October 2014 he is a partner of Santillana , the largest Spanish-language textbook publisher.
In 2015 Knewton will begin to follow the learning of students who use Santillana math materials in high schools. It will be the beginning of an atomic level knowledge of students from Latin America and Spain.
What are the implications of adaptive learning? This question will perhaps be the most important of education worldwide in the next 10 years.
The platform can follow deep paths of each student’s cognitive patterns. The members of Knewton explain that their work is exciting because they are discovering, for the first time in history, how humanity learns. Not theoretically, but literally. For this they are mapping the mental state of millions of students as they go through their entire lives of school or university learning.
A fascinating path can be that of personalization and enjoyment of learning. Each student could enhance their abilities and learning could be an activity that everyone, with different styles and modalities, can enjoy.
A darker path can be that of a machine that plays at being God and knows more about each person than herself. A machine that knows the deepest secrets of the cognitive paths, behaviors, desires, passions and fears of each student, from his early childhood and throughout his life. A complete digitalization of all the interactions of a person with the world of learning could lead to a new society where privacy disappears and, as Rifkin indicates in a key book about the future of humanity , absolute transparency replaces it.
These risks were already considerable in the case of another adaptive learning platform, inBloom, which had to close its doors by opposition movements of parents in several US states.
The privacy of our children is at stake, who will dare to let the machines know everything about them? Even when Knewton and other platforms guarantee data security, nobody in the digital world can guarantee anything completely.
Information security protocols begin to be the subject of major political and legislative debates. Knewton himself signed, along with other large companies, the Student Privacy Pledge , a commitment not to sell information or use the knowledge of students to place advertising and ensure the anonymity of the data. It is a shield to protect against the shots that will come soon and will undoubtedly be many and varied. The educational debate will begin to turn soon towards the privacy of student data.
What implications will adaptive learning have for schools and teachers? This will be another decisive question of the years to come. Knewton proposes to work with the teachers, informing them in detail about the learning of their students to help them personalize the teaching. But the way could well be to ignore teachers and teach directly through computers. Is the biggest bypass in the history of education coming to a definitive end with schools?
Finally, what implications will the use of big data, analytics and predictive learning have on the social structure? Who will benefit from Knewton? What direct or indirect cost will it have for the students? What role will the State play? In Brazil, an adaptive learning platform, Geekie , is directly associating with the State to use analytics in public schools.
If everyone had access to adaptive platforms, what effects would occur? Do adaptive platforms generate more equality by providing greater learning opportunities for all? Or do they generate more inequality, maximizing each one and, therefore, erasing the equalizing power of the school and giving more weight to the differences in the social and cultural context of the families?
It’s time to look at Knewton and all the adaptive learning platforms that are emerging. It is time to start discussing the privacy of the data, the atomic level of knowledge of the students, the new pedagogical forms based on algorithms, the possibilities and threats that arise from this new world that has already begun and will not stop.
Soon a sophisticated algorithm can tell us if they watched the video before reading the note, if they read the note first, if they abandoned it after the first paragraph or if they followed it to the end. But he will not do it now that the note ends, he will do it before starting to read it. Do we want those algorithms to govern the education of the future?