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Future School: Personalization Plus Intelligence

Future School: Personalization Plus Intelligence
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Author(s): Eugenijus Kurilovas (Vilnius University, Lithuania & Vilnius Gediminas Technical University, Lithuania)
Copyright: 2017
Pages: 31
Source title: Information Technology Integration for Socio-Economic Development
Source Author(s)/Editor(s): Titus Tossy (Mzumbe University, Tanzania)
DOI: 10.4018/978-1-5225-0539-6.ch001

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Abstract

What learning content, methods and technologies are the most suitable to achieve better learning quality and efficiency? In Lithuania, we believe that there is no correct answer to this question if we don't apply personalised learning approach. We strongly believe that “one size fits all” approach doesn't longer work in education. It means that, first of all, before starting any learning activities, we should identify students' personal needs: their preferred learning styles, knowledge, interests, goals etc. After that, teachers should help students to find their suitable (optimal) learning paths: learning methods, activities, content, tools, mobile applications etc. according to their needs. But, in real schools practice, we can't assign personal teacher for each student. This should be done by intelligent technologies. Therefore, we believe that future school means personalisation plus intelligence. In this chapter, Lithuanian Intelligent Future School project is presented aimed at implementing learning personalisation and educational intelligence.

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