Big Data and K-12 Education: The Resources You Need

k-12Big Data is revolutionizing K-12 education. Teachers have always used students’ assessment results to shape planning and instruction, and now Big Data is bringing new meaning to the term “data-driven instruction.” Today’s Big Data analytics software and apps for K-12 education are helping teachers to individualize instruction like never before.

These apps utilize adaptive learning algorithms, real-time assessment interpretation, predictive modeling, and real-time analytics to bring the power of systematic, real-time data to teachers and students. These apps and platforms provide performance-tracking capabilities, and some of them provide dashboards and other visual displays that teachers can use to drive instruction and understand students’ strengths as well as the areas in which they need extra support. In addition, students can see and track their own progress with some of these mobile apps, which provides them with immediate, individualized feedback and insights into their own learning.

As mobile devices such as tablets are increasingly being used as learning tools in schools, mobile analytics apps are giving teachers and school districts insights about how those devices are being used so that they can make informed decisions. Keep reading to discover the companies that are spearheading the use of Big Data in K-12 education.

Companies and Apps in the Big Data and K-12 Education space:

All descriptions are from companies’ websites.

EduTrends by LabStats

EduTrends tracks the use of applications, computers and devices for schools. It can track school-issued devices in the classroom, in computer labs, on mobile racks, and it can track devices issued directly to students, even when they take them home. EduTrends can report when and for how long students are interacting with classroom technology to help school leaders make edtech decisions that truly benefit the school and especially the students.

Knewton

Knewton is an education technology company that personalizes digital courses so every student is engaged and no one slips through the cracks. As students progress through a Knewton-powered course, Knewton figures out what each student knows and how that student learns best, then recommends what to study next. Teachers use Knewton-powered predictive analytics to detect gaps in knowledge and differentiate instruction for each student.

Amplify

An independent subsidiary of News Corporation, Amplify is built on the foundation of Wireless Generation, the pioneer that brought mobile assessments and instructional analytics to schools across America. To date, Amplify has supported more than 200,000 educators and 3 million students in all 50 states as they begin their digital transition. And we’re just getting started. Our digital products are leading the way in data-driven instruction, breaking new ground in mobile learning and setting the standard for next-generation digital curriculum and assessment.

LearnSmart by McGraw Hill

Each innovative product in the LearnSmart Advantage suite is powered by the proven McGraw-Hill LearnSmart engine that has helped over 2 million student users answer nearly 1.5 billion questions since 2009. All this data has been harnessed to make the LearnSmart Advantage products the most intelligent, reliable and effective adaptive learning tools that are available to students. The five powerful products in the LearnSmart Advantage suite – LearnSmart, SmartBook, LearnSmart Achieve, LearnSmart Prep and LearnSmart Labs – leverage years of historical data and advanced scientific algorithms to ensure that every minute a student spends studying with a LearnSmart Advantage product is the most efficient and productive minute possible at that specific moment for that individual student.

Junyo

Founded in 2011, by Zynga’s co-founder and first employee, Junyo develops tools and platforms that leverage the enormous power of big-data analytics. We’re developing a broad foundational database that supports multiple applications within education for both B2B and B2C markets. Early investors include angel investors, Learn Capital, NewSchools Venture Fund, and Kapor Capital.

Revolution K12

We strike a healthy balance between an adaptive program for each student and a teachable course for instructors.   While our mentor sessions provide a unique learning pathway for each student that scaffolds back to foundational Math skills, teachers receive real-time data that enables them to teach to students’ collective strengths and weaknesses more effectively and efficiently.

Declara

At the core of the Declara platform is The CognitiveGraph™, a dynamic map of how people learn based on years of research across hundreds of subjects. The CognitiveGraph™ takes every interaction an individual has over the network — be it access to a blog post, a connection to an expert, or a posting of “like” — to deliver the right content and the right learning partners to the right people at just the right time to radically improve learning outcomes. Using advanced algorithms and machine learning, the Declara CognitiveGraph™ learns as the user learns.

Learnalytics by Renaissance Learning

Founded on one of the world’s largest databases of student learning data, Learnalytics gives greater insight into what students know, what they like, and how they learn. Learnalytics empowers educators to deliver precise, timely instruction and drive effective, repeated practice.

DreamBox Learning

A key component of successfully delivering blended learning— and the highly personalized learning that results from it— is the ability to leverage data in real time as only DreamBox can. In the moment data Because Intelligent Adaptive Learning uses in-the-moment data to seamlessly integrate instruction with assessment, it is an ideal tool for the every blended learning environment. Current academic progress reporting Fine-grained reporting provides needed insights into proficiency at the district, school, classroom, and student level. DreamBox analyzes over 50,000 pieces of data per hour, to provide the most effectively individualized math learning experience possible. The system interacts with the student by analyzing the data from the student’s actions in real-time as he solves problems, explores concepts, and makes decisions.

Lexia Learning

Lexia provides explicit, systematic, personalized learning on foundational reading skills for students of all abilities, and delivers norm-referenced performance data and analysis without interrupting the flow of instruction to administer a test. This research-proven, technology-based approach accelerates reading skills development, predicts students’ year-end performance and provides teachers data-driven action plans to help differentiate instruction.

Gooru

Pair a short video with a digital textbook or a series of questions to create a Collection on various topics, like slope, cells, or the Silk Road. Create your own collections or save and customize pre-existing collections by organizing resources that you discover in search, uploading your own resources, and adding or authoring questions to check for student understanding. As your students move through a collection, they can indicate how they feel about each resource they’re studying by selecting a response, from “I can explain!” to “I need help.” Track student reactions to see which resources are resonating with them and where students need additional help. Check for understanding by including a variety of question types in your collection for students to test what they’ve learned and identify areas to review. In the Collection Analytics pane, see a summary of your students responses as well as student reactions.

inBloom

inBloom is an independent nonprofit organization resulting from efforts within the education community beginning in 2011 to solve a common technology issue facing school districts:  the inability of widely varied electronic instructional technology tools used in classrooms to work in coordination with (or “talk to”) one another. Our technology enables these tools to work together so that teachers can more easily tailor education to the needs, skill level and learning pace of each individual student. It can also help engage parents more deeply in their children’s learning, and save teachers time and schools money. In addition, inBloom’s technology offers a substantial security upgrade to the common resources being used, including paper records or disconnected and antiquated databases with few security features.

Check Out These Resources for Insights on Big Data and K-12 Education:

http://www.ednetinsight.com/news-alerts/hellerresults/big-data-in-k-12–attack-of-the-recommendation-engines—part-i.html

http://www.insidepolitics.org/brookingsreports/education%20big%20data.pdf

http://www.edtechmagazine.com/k12/article/2013/06/what-big-data-means-k-12-0

http://www-03.ibm.com/press/us/en/pressrelease/42759.wss

http://www.dreambox.com/blog/10-ways-big-data-changing-k-12-education-2

http://www.edutopia.org/blog/personalized-learning-big-data-schools-matt-levinson

http://www.reuters.com/article/2013/03/03/us-education-database-idUSBRE92204W20130303

http://www.technicianonline.com/news/article_95887a1e-2fd0-11e3-8f43-001a4bcf6878.html

http://edtechtimes.com/2013/12/18/big-data-perspective-big-players-data-analytics/

https://www.brighttalk.com/webcast/10477/96989

http://www.newschools.org/blog/closer-look-2013

http://www.bethkanter.org/emerging-tech/

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