Learning Analytics Framework Applied To Training Context

November 25, 2022

Currently, business organizations are struggling with the increasing demand for learning needs to address their knowledge gaps. They must have a structure that can reach all employees in terms of training and extract all the important data that Learning Management Systems collect during instruction or learning. This data will be of extreme importance for better business decisions. The deployment and usage of a specified Learning Analytics Framework can provide actionable information to teaching staff so that they can issue early warnings of students at risk of dropping out or personalized recommendations to students to adjust their training path to improve the teaching and learning path. Although, due to constant evolution and strict organizational requirements, there is much to be improved and gaps to be filled. This research aims to develop guidelines for a reference model that could fill this knowledge gap and help business organizations allocate resources better and improve the decision-making process and its instructional and learning process.

Authors in the community:

• 

  J

  João Tiago Borges de Sousa Dias

  ist198764

electrical-engineering-electronic-engineering-information-engineering - Electrical engineering, electronic engineering, information engineering

eng - English

Instituto Superior Técnico