The online learning activities have gained prominence during the past three years, and an appreciable amount of significant learning components were adapted for online learning patterns. Pandemic enhanced the conceptual and practical preoccupations concerning the online learning processes, with an emphasis on the overall development of the networking techniques, software tools and services. There are various learning materials, such as open papers, books, coding examples, dictionaries and online trainings, which are dedicated to specific didactic processes, or transmitted through animation-based approaches. Thus, the existing scientific literature proposes new machine learning and natural language processing-based mechanisms, which are related to, for example, materials dedicated to learning foreign languages. The consideration of such learning methods may be efficiently used in order to enhance the study of structured learning scopes, such as computer science, mathematics, or other subjects. Consequently, the relevant learning processes are re-structured and enhanced. This work addresses approaches that relate to the combination of classical learning techniques like recognition, intercalation, recall time, and written notes, with proper tools and improved educational processes. This paper presents an integrated online learning paradigm, which is validated considering the didactic interaction with relevant student groups. Additionally, this article discusses the real-world benefits of the proposed learning model, and on the open research questions that will be approached by future research projects.