|By Mark van Rijmenam||
|May 19, 2013 02:00 PM EDT||
New technologies allow schools, colleges and universities to analyze absolutely everything that happens. From student behavior, testing results, career development of students as well as educational needs based on changing societies. A lot of this data has already been stored and is used for statistical analysis by government agencies such as the National Center for Educational Statistics. With the rise of more and more online education and the development of MOOCs all the data gets a completely new meaning. Big Data allow for very exciting changes in the educational field that will revolutionize the way students learn and teachers teach. To stimulate this trend, the US Department of Education (DOE) was part of a host of agencies to share a $200 million initiative to begin applying Big Data analytics to their respective functions, as described in a post by James Locus.
The overall goal of Big Data within educational systems should be to improve student results. Better students are good for society, organizations as well educational institutions. Currently the answers to assignments and exams are the only measurements on the performance of students. During his or her student life, however, every student generates a unique data trail. This data trail can be analyzed in real-time to deliver an optimal learning environment for the student as well to gain a better understanding in the individual behavior of the students.
It is possible to monitor every action of the students. How long they take to answer a question, which sources they use, which questions they skipped, how much research was done, what the relation is to other questions answered, which tips work best for which student, etc. Answers to the questions can be checked instantly and automatically (except for essays perhaps) give instant feedback to students.
In addition, Big Data can help to create groups of students that prosper due to the selection of who is in a group. Students often work in groups where the students are not complementary to each other. With algorithms it will be possible to determine the strengths and weaknesses of each individual student based on the way a student learned online, how and which questions were answered, the social profile, etc. This will create stronger groups that will allow students to have a steeper learning curve and deliver better group results.
All this data will help to create a customized program for each individual student. Big Data allows for customization at colleges and universities, even if they have 10,000s of students. This will be created with blended learning, a combination of online and offline learning. It will give students the opportunity to develop their own personalized program, following those classes that they are interested in, working at their own pace, while having the possibility for (offline) guidance by professors. Providing mass customization in education is a challenge, but thanks to algorithms it becomes possible to track and assess each individual student.
We already see this happening in the MOOCs that are developed around the world now. When Andrew Ng taught the Machine Learning class at Stanford University, generally 400 students participated. When it was developed as a MOOC at Coursera in 2011, it attracted 100,000 students. Normally this would take Andrew Ng 250 years to teach the same amount of students. 100,000 students participating in a class generate a lot of data that will deliver insights. Being able to cater for 100,000 students at once, also requires the right tools to be able to process, store, analyze and visualize all data involved in the course. At the moment, these MOOCs are still mass made, but in the future the can be mass customized.
With 100,000 students participating in a MOOC, it will give universities the possibility to find the absolute best students from all over the world. Based on the individual behavior of the students, their grades, their social profile and their networking skills, algorithms can find the best students. These students can then receive a scholarship that will increase the overall level of the university.
When students start working on their own, in their customized blended learning program, the vast amount of teaching, which most of the time is covered by general topics that have to appeal to all students from different levels, can be done online and by themselves. The professor can monitor all students in real-time and start a much more interesting and deeper conversation on the topic of choice. This will give students the possibility to gain a better understanding of the topics.
When students are monitored in real-time, it can help to improve the digital textbooks and course outlines that are used by the students. Algorithms can monitor how the students read the texts - which parts are difficult to understand, which parts are easy and which parts are unclear. Based on how often a text is read, how long it takes to read a text, how many questions are asked around that topic, how many links are clicked for more information, etc. If this information is provided in real-time, authors can change their textbooks to meet the needs of the students thereby improving the overall results.
Even more, Big Data can give insights into how each student learns at an individualized level. Each student learns differently and the way a student learns affects the final grade of course. Some students learn very efficiently while other may be extremely inefficient. When the course materials are available online, it can be monitored how a student learns. This information can be used to provide a customized program to the student or provide real-time feedback to become more efficient in learning and thus improve their results.
All these analyses will improve the student results and perhaps also reduce dropout rates at universities or colleges. Dropouts are expensive for educational institutes as well as for society. When students are closely monitored, receive instant feedback and are coached based on their personal needs, it can help to reduce dropout rates. Hortonworks mentions that an early warning system like this can bring down dropout rates.
Using predictive analytics on all the data that is collected can give and educational institute insights in future student outcomes. These predictions can be used to change a program if it predicts bad results on a particular program or even run scenario analysis on a program before it is started. Universities and colleges will become more efficient in developing a program that will increase results thereby minimizing trial-and-error.
After graduation, students can still be monitored to see how they are doing in the job market. When this information is made public, it will help future students in their decision when choosing the right university.
Big Data will revolutionize the learning industry in the coming years. More and more universities and colleges are already turning to Big Data to improve overall student results. Smarter students who study faster will have a positive effect on organisations and society. Therefore, let's not wait and let's embrace Big Data in education!
This story was originally posted on BigData-Startups.com.
As data explodes in quantity, importance and from new sources, the need for managing and protecting data residing across physical, virtual, and cloud environments grow with it. Managing data includes protecting it, indexing and classifying it for true, long-term management, compliance and E-Discovery. Commvault can ensure this with a single pane of glass solution – whether in a private cloud, a Service Provider delivered public cloud or a hybrid cloud environment – across the heterogeneous enter...
Dec. 3, 2016 06:15 PM EST Reads: 1,506
"IoT is going to be a huge industry with a lot of value for end users, for industries, for consumers, for manufacturers. How can we use cloud to effectively manage IoT applications," stated Ian Khan, Innovation & Marketing Manager at Solgeniakhela, in this SYS-CON.tv interview at @ThingsExpo, held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
Dec. 3, 2016 05:30 PM EST Reads: 4,035
Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like “How is my application doing” but no id...
Dec. 3, 2016 05:15 PM EST Reads: 2,132
@GonzalezCarmen has been ranked the Number One Influencer and @ThingsExpo has been named the Number One Brand in the “M2M 2016: Top 100 Influencers and Brands” by Onalytica. Onalytica analyzed tweets over the last 6 months mentioning the keywords M2M OR “Machine to Machine.” They then identified the top 100 most influential brands and individuals leading the discussion on Twitter.
Dec. 3, 2016 05:15 PM EST Reads: 1,996
Information technology is an industry that has always experienced change, and the dramatic change sweeping across the industry today could not be truthfully described as the first time we've seen such widespread change impacting customer investments. However, the rate of the change, and the potential outcomes from today's digital transformation has the distinct potential to separate the industry into two camps: Organizations that see the change coming, embrace it, and successful leverage it; and...
Dec. 3, 2016 03:15 PM EST Reads: 3,220
Extracting business value from Internet of Things (IoT) data doesn’t happen overnight. There are several requirements that must be satisfied, including IoT device enablement, data analysis, real-time detection of complex events and automated orchestration of actions. Unfortunately, too many companies fall short in achieving their business goals by implementing incomplete solutions or not focusing on tangible use cases. In his general session at @ThingsExpo, Dave McCarthy, Director of Products...
Dec. 3, 2016 02:45 PM EST Reads: 518
The Internet of Things (IoT) promises to simplify and streamline our lives by automating routine tasks that distract us from our goals. This promise is based on the ubiquitous deployment of smart, connected devices that link everything from industrial control systems to automobiles to refrigerators. Unfortunately, comparatively few of the devices currently deployed have been developed with an eye toward security, and as the DDoS attacks of late October 2016 have demonstrated, this oversight can ...
Dec. 3, 2016 02:45 PM EST Reads: 687
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to impr...
Dec. 3, 2016 02:15 PM EST Reads: 6,952
More and more brands have jumped on the IoT bandwagon. We have an excess of wearables – activity trackers, smartwatches, smart glasses and sneakers, and more that track seemingly endless datapoints. However, most consumers have no idea what “IoT” means. Creating more wearables that track data shouldn't be the aim of brands; delivering meaningful, tangible relevance to their users should be. We're in a period in which the IoT pendulum is still swinging. Initially, it swung toward "smart for smar...
Dec. 3, 2016 02:00 PM EST Reads: 470
20th Cloud Expo, taking place June 6-8, 2017, at the Javits Center in New York City, NY, will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy.
Dec. 3, 2016 01:30 PM EST Reads: 2,127
Businesses and business units of all sizes can benefit from cloud computing, but many don't want the cost, performance and security concerns of public cloud nor the complexity of building their own private clouds. Today, some cloud vendors are using artificial intelligence (AI) to simplify cloud deployment and management. In his session at 20th Cloud Expo, Ajay Gulati, Co-founder and CEO of ZeroStack, will discuss how AI can simplify cloud operations. He will cover the following topics: why clou...
Dec. 3, 2016 01:15 PM EST Reads: 624
Internet of @ThingsExpo, taking place June 6-8, 2017 at the Javits Center in New York City, New York, is co-located with the 20th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. @ThingsExpo New York Call for Papers is now open.
Dec. 3, 2016 01:00 PM EST Reads: 1,872
"ReadyTalk is an audio and web video conferencing provider. We've really come to embrace WebRTC as the platform for our future of technology," explained Dan Cunningham, CTO of ReadyTalk, in this SYS-CON.tv interview at WebRTC Summit at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Dec. 3, 2016 01:00 PM EST Reads: 324
Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at Cloud Expo, Ed Featherston, a director and senior enterprise architect at Collaborative Consulting, discussed the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine.
Dec. 3, 2016 12:45 PM EST Reads: 1,952
Successful digital transformation requires new organizational competencies and capabilities. Research tells us that the biggest impediment to successful transformation is human; consequently, the biggest enabler is a properly skilled and empowered workforce. In the digital age, new individual and collective competencies are required. In his session at 19th Cloud Expo, Bob Newhouse, CEO and founder of Agilitiv, drew together recent research and lessons learned from emerging and established compa...
Dec. 3, 2016 12:45 PM EST Reads: 736
Everyone knows that truly innovative companies learn as they go along, pushing boundaries in response to market changes and demands. What's more of a mystery is how to balance innovation on a fresh platform built from scratch with the legacy tech stack, product suite and customers that continue to serve as the business' foundation. In his General Session at 19th Cloud Expo, Michael Chambliss, Head of Engineering at ReadyTalk, discussed why and how ReadyTalk diverted from healthy revenue and mor...
Dec. 3, 2016 12:15 PM EST Reads: 1,508
The 20th International Cloud Expo has announced that its Call for Papers is open. Cloud Expo, to be held June 6-8, 2017, at the Javits Center in New York City, brings together Cloud Computing, Big Data, Internet of Things, DevOps, Containers, Microservices and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding business opportunity. Submit your speaking proposal ...
Dec. 3, 2016 11:30 AM EST Reads: 2,091
We are always online. We access our data, our finances, work, and various services on the Internet. But we live in a congested world of information in which the roads were built two decades ago. The quest for better, faster Internet routing has been around for a decade, but nobody solved this problem. We’ve seen band-aid approaches like CDNs that attack a niche's slice of static content part of the Internet, but that’s it. It does not address the dynamic services-based Internet of today. It does...
Dec. 3, 2016 11:30 AM EST Reads: 850
You have great SaaS business app ideas. You want to turn your idea quickly into a functional and engaging proof of concept. You need to be able to modify it to meet customers' needs, and you need to deliver a complete and secure SaaS application. How could you achieve all the above and yet avoid unforeseen IT requirements that add unnecessary cost and complexity? You also want your app to be responsive in any device at any time. In his session at 19th Cloud Expo, Mark Allen, General Manager of...
Dec. 3, 2016 11:15 AM EST Reads: 1,640
Bert Loomis was a visionary. This general session will highlight how Bert Loomis and people like him inspire us to build great things with small inventions. In their general session at 19th Cloud Expo, Harold Hannon, Architect at IBM Bluemix, and Michael O'Neill, Strategic Business Development at Nvidia, discussed the accelerating pace of AI development and how IBM Cloud and NVIDIA are partnering to bring AI capabilities to "every day," on-demand. They also reviewed two "free infrastructure" pr...
Dec. 3, 2016 10:45 AM EST Reads: 826