September 27, 2016 | Written by: Matt Young
Categorized: AI/Watson | Cloud | Education | IBM: The Backstory
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New technologies are changing the face and future of education. As we shared last week, IBM is working with Sesame Workshop to evaluate how best to bring personalized learning to young children. Truth is, a number of our clients are working tirelessly to bring technology advances to the world of education at all levels.
The basic subjects of reading, writing and arithmetic of course still remain. What’s really changing are the teaching methods, tools and efficiencies behind the scenes. And, how students apply the lessons they learn in this changing landscape to the “real world.”
Developing math skills: Private math tutoring with Tabtor
Most children at some point in time seem to get “stuck” in math. It seems that way from my experience raising three kids anyway. Math cries out for individualized learning. There is not only a concept to learn, but also a correct, replicable process. And you can’t wing it. There is only one correct answer.
When a child gets something wrong in homework or a test, the teacher, parent or tutor must set them back on the correct path, so the child understands where the misstep occurred. Otherwise, the child will be hopelessly lost in the particular math discipline.
Tabtor Math has developed an app that develops individualized tutoring for math students. The app also allows the teachers to grade beyond right or wrong. This allows the student to understand why the error was made, and to avoid the same mistake in other problems. The award-winning Tabtor Math platform is being used in schools in the United States and India, and has over 60,000 registered users across 12 countries. Read the Tabtor Math case study to learn more.
Moving on to college: Hackathons and workshops at Ryerson University
By the time a person reaches university age, he or she is expected to do more than repeat facts or memorize processes. This is especially true for rapidly evolving subjects like data science, where subject content becomes outdated rapidly.
Using IBM Watson and IBM Cognitive tools, plus Ryerson know-how, Ryerson University students are able to access, analyze and manipulate data. Especially relevant, the students are able to take real-life situations and solve them, themselves.
Ryerson has three goals. It strives to have students use the tools in workshops and hackathons, which are more relative to the way the “real world” works. It aims to inspire broader student appeal in analysis of data and statistics. And, it wants to help students find jobs in all fields that have an increasing demand for data scientists. Learn how by reading the Ryerson University case study.
Stepping into the job market: Matching university IT graduates with employers
Millions of IT students enroll at universities each year, but many graduates struggle to find jobs. This is where Opteamize steps in. The company is building an e-learning solution to help students succeed in the job market. Ultimately, it is matching students to available jobs pertinent to their skills.
To accomplish this, the platform had to be available to both the potential employer and the student. Opteamize needed to gather data about the students, including structured and unstructured data such as images, certificates, blogs and more.
Opteamize is solving a key problem for the wider IT industry: How to find individuals that possess the knowledge and skills to get the job done. Read more in the Opteamize case study.
Our clients are at the forefront of educational transformation from grade school to graduation and beyond. Visit our IBM in education webpage to learn more.