Personalized learning is one of the top buzzwords in education now; it suggests a host of different learning methods that are institution-driven. Students will be in control not only on when they learn, but also demand that they contribute to their learning through discussions and collaboration, creating content while doing so. This student-driven phenomenon suggests that schools and higher education institutions will need to respond by creating learning programs that acknowledge that the learner is seeking this kind of personalized learning experience.
The changing economic climate and its impact on the educational and research sector, have led to increased awareness of the need for digital education that creates a tremendous amount of data about all aspects of teaching and learning.
Machine learning is one such digital platform, which finds the pattern in the collected data and use algorithms to make decisions or data-driven predictions in a continuous process with real-time insights.
Cognitive School Information System (SIS)
It’s time to transform the “School information system” in a way in which the students learn what they need the most. It requires an alternative platform to the traditional classroom methods and reshapes the way in which the education institutions are structured. Students should have the opportunity to work remotely at a time that suits them. This can be obtained by a new generation learning platform that continuously curates and learns topics through different data sources and provide the students and the institution’s new insights with optimized learning paths.
How SIS functions?
The data sources are pulled by crawlers through different educational content providers and store it in cloud-based repositories. Further it also continuously facilitates the content providers and educational Institutes to upload new courses, add study materials, post blog contents and maintain their contents consistently. The content uploaded will be filtered and classified to avoid unwanted data. Further, the user and SIS admin will be also be notified the unwanted content and if required will prohibit that user from uploading further content
Contents can be of Video, documents, or even Adaptive learning technologies like Virtual reality games that will help students to understand the concepts in a real-time interactive session with the system or with the live tutors.
Students will be able to browse through the contents of their choice and cognitive intelligence will immediately identify the interest of the students, provides an optimal pathway of courses and materials to make them an expert in their particular fields. These cognitive systems will enable personalized education through research papers, blogs, Video contents, Adaptive learning technologies and related articles to the students on the go, based on their surfing and ultimately improve the educational experience.
This system is capable of finding out interlinks between cross-field research and suggest alternate pathways expand their knowledge base and to expertise in new research. The system is also designed to find appropriate contents for the students based on their knowledge level, interest and keep them engaged.
In turn, this system is also empowering teachers, by providing easy-to-use platforms for monitoring and assessing students’ progress. The teachers can identify the students who are most at risk, why they are struggling, as well as insights into the interventions needed to overcome those challenges.With real-time insights on the data, the institutions can also track the impact of the strategies to put in place.