The literature on adaptive learning suggests that it can provide significant improvements to the educational process … and numerous studies have found a necessity for personalised learning, which is one of the strong suits of adaptive … learning. Adaptive learning platforms require that content be effective, and lack thereof has hindered large-scale adoption by …

Annual Developer Survey" dataset and machine learning methods such as principal component analysis, K-means clustering, and … independent learning rather than skills acquired in the academic field. …

In machine learning and data science literature, clustering is the task of dividing the observations (data points) into … falls under the class of unsupervised learning techniques. It is primarily a tool to classify individuals on the basis of … countries of the world based on several economic and social indicators. The most appropriate clustering algorithm has been …

is to identify the skills necessary for the specific digital learning environment of Romanian higher education to …

learners. Finding the proper tools to integrate AI into the learning framework represents a test for current and future … administrative tasks, personalising learning plans, and saving time. However, learners are unfamiliar with most benefits of AI tools …

The didactical game can be considered part of an educational scenario in teaching and learning. This article aims to … are found in games, facilitating realimaginary relationship throughout the game and enhancing learning motivation. The … specific learning objectives, age particularities of students, time and space-related resources, the technical requirements of …