Open AccessIMPROVING ADAPTIVE LEARNING IN A SMART LEARNING ENVIRONMENT
Author(s) -
Gilberto Marzano,
Anda Abuže,
Yeliz Nur
Publication year - 2021
Publication title -
vide. tehnoloģija. resursi/environment. technology. resources
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.113
H-Index - 8
eISSN - 2256-070X
pISSN - 1691-5402
DOI - 10.17770/etr2021vol2.6509
Subject(s) - adaptive learning , personalized learning , digital learning , employability , computer science , educational technology , experiential learning , open learning , learning sciences , synchronous learning , active learning (machine learning) , unit (ring theory) , knowledge management , learning environment , multimedia , cooperative learning , artificial intelligence , teaching method , mathematics education , psychology , pedagogy
It has been broadly argued that, in the near future, the demand for skilled labor will increase whilst that for routine activities will decrease. In this regard, the need for making greater investments in education to re-skill workers and support continuous learning has been invoked as an essential requirement for preserving people’s employability.Digital technology is deemed increasingly necessary to sustain the educational endeavor, for the possibilities it offers to make more accessible and low-cost educational interventions. It allows for the creation of personalized learning paths and customized digital learning solutions, for courses to be available to a large attendance of learners, and for teaching-learning activities to be offered at significantly reduced cost.In this article, a learning unit structure designed to improve adaptive learning is proposed, and mechanisms for adaptive learning in a smart learning environment are discussed.The implemented teaching-learning solution is also illustrated. This is a preliminary application based on an approach that combines the teacher experience with learning analytics.