Improvement of microlearning with help of learning analytics in enterprises

Zandbergs, U.; Judrups, J.; Plane, E.; Uscins, R.

Modern organisation environment is characterised by constant change, which creates the need for the employees to constantly acquire new knowledge and learn new skills to retain a competitive advantage. Professional learning in such an environment needs to be adjusted to become fast-paced, chunk-sized and self-directed for relevancy and efficiency. COVID-19 pandemic has enhanced the problem, making traditional classroom training unavailable and the efficiency of self-directed learning hard to evaluate. Microlearning approach provides small sized development opportunities for employees without spending lots of time outside their actual work and the opportunity to apply the new knowledge almost immediately to work situations. Learning analytics helps evaluate the need and effectiveness of microlearning, it is useful in training situations that want to predict and manage the success of their students, but is harder to apply in professional environment because of how indicators for learning results translate to success in work situations. The paper describes the initial results of a case study of development and implementation of work-related microlearning modules and training tests and the use of learning analytics to predict the training results based on progress and to supply the managers with information for decision making. In this case participation in microlearning activities and positive attitude towards them was linked to increased test scores suggesting that it can be used for predicting employee success in work situations. © 2021 Latvia University of Life Sciences and Technologies. All rights reserved.