One of the biggest advantages of "online" education services is that it allows you to repeat certain topics whenever you have difficulty understanding them. So, in an attempt to turn your online study into something more interesting and efficient, would it be possible to set a varied amount of learning and/or a different learning sequence for each individual by reflecting their personal disposition? The big data technology based on the graph database has come up with an answer "Yes."
Amid an explosion of interest in "Edutech," which equips education with the major technologies of the 4th industrial revolution such as Big Data and AI, Kyowon Co., Ltd. ("Kyowon"), a Korea-based education service company, has recently launched a personalized education service known as "REDPEN AI Math." Kyowon has been in the industry for 34 years, offering a range of learning content for major subjects including math, languages, and science. With the launch of its latest service "REDPEN AI Math," Kyowon aims to provide students with a set of optimized educational content services which will allow them to feel a sense of accomplishment and finally attain their goals.
According to Kyowon, the "AI Teacher" of REDPEN AI Math analyzes the learning data of the members taking a mathematics course online to recommend a set of customized questions in real time and then identifies the cause(s) of any incorrect answers in each phase. They stated that the AI Teacher is extremely helpful especially when you want to figure out which areas you need to catch up with and receive an optimal learning path accordingly. It also provides an iterative-learning opportunity by analyzing the individual oblivion cycles, and visualizes the state of knowledge acquired by concept; with the visualized graph, each user will be able to comprehend their learning progress at a glance.
Most conventional players provide options which allow you to adjust the difficulty level and learning progress as well, but their monolithic curriculum never changes. With REDPEN AI Math, artificial intelligence (AI) analyzes the real-time learning pattern and presents a fully-customized, selective curriculum for the next stage to every user.
Such an "AI Teacher" is enabled by AgensGraph, a graph database management solution. "To enable a personalized curriculum, all the concepts should stay connected to one another on a network so that when the time comes, they can be shuffled in any order," said Cheolsun Kang, CEO of Bitnine, the developer of AgensGraph.
The relational database (RDB) that stores and manages data in the form of tables is actually not suitable for correlating data. It also takes a considerable amount of time and resources to extract the data from each table of RDB and grasp the relation of them again. Although Kyowon has accumulated enormous amounts of learning data over the last 34 years, they have been in RDB. Under the structure of RDB, they faced a series of limitations in managing the knowledge space. Unlike RDB, the graph database utilizes graphs linked by points and lines to store and manage each aspect of data, thus enabling analysis of a large volume of data in a short period of time.
According to Cheolsun Kang, CEO of Bitnine, "The education sector is one of the key areas where capitalizing on Big Data and AI has been most expected. By introducing AI technology as a supplementary tool not only for private education services but also for the public education system, we will be able to make a dramatic impact."
As it is a multi-model graph database management solution that combines the PostgreSQL-based relational database and graph database, AgensGraph delivers significant differentiators to its clients in several ways:
- AgensGraph minimizes the change in clients’ legacy RDB when they're migrating graph database
- Large scale relational data is secured to be used with or as graph data model
- Use of graph or relational model is optional (or both can be used simultaneously) upon the type or the purpose of data with AgensGraph, maximizing efficiency of enterprise system
- AgensGraph allows the utilization of existing programming languages and the investments in trained personnel for developing graph-based applications
For more information on AgensGraph please visit www.bitnine.net.
Bitnine is a dedicated graph database solution company which provides the technological basis for swift analysis and visualization of multi-sourced data with its graph database solution 'AgensGraph.' for more information, visit www.bitnine.net or follow @AgensGraph