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With the recent hit of the Pandemic study process is shifted to E-learning. Measuring the actual progress of a student in Asynchronous e-learning because of machine-human interaction and feedback is also considered a primary issue in this area. With the rapid development of artificial intelligence, computers can capture surroundings. Image processing is a rising technique in Artificial Intelligence (AI). Recognition of an individual's emotion helps identify the person's inner state. It is easy to measure a student's feedback about the session by doing it. The main functionality of this project is to capture the student's enough frames during the study session and provide the analysis of the average emotions to the administration panel. This prototype was used on 10 minutes of lecture to capture the emotion. The primary goal of this proposed system is to capture the learner's emotion at a specific interval during the e-learning session and provide the feedback of it to the instructor.

The objective of the research is to determine e-learning solutions for the implementation of the spaced learning in university students’ sustainable education. In the spaced e-learning method, the course content includes few-minute pauses between repetitions, during which students let their brain “rest” with different content and then return to the course. Information technology solutions are based on the identification of students’ individual and situational interests and the following promotion of students’ interests for personal development by the content of spaces. Current research is oriented to the search for benefits from synergy of the technological and pedagogical e-learning developments. The study includes three cycles of education action research. The first and second cycles aim at finding the most effective method to include content for sustainable personality development in the course. At Riga Technical University, a prototype of two blended learning Master level courses was created and approbated with Master level students. Outcomes of the research were evaluated by reflection on students’ opinions and analysis of user behavior data in the e-learning environment OpenEdX. The results obtained in the first and second cycles of the action research and reflection are the basis for the conceptual development of the Living Lab solution in the MOODLE environment with personalized content. Technological solutions for the implementation of personalized content of spaces for personality development are based on the student’s self-assessment of his/her individual interests. The research shows the potential of the spaced e-learning for instructional learning and personality development, thus leading to learning for sustainability in the broadest sense as a perspective of pedagogy with inherently sustainable nature, that we denote as “fostering” in the study. The spaced e-learning method was seriously influenced by the COVID-19 crisis due to the replacement of blended learning with fully online learning.

This study aims to address the e-inclusion problem related to digital skills improvement and meaningful use. In professional work, more and more jobs require the use of digital skills. Combining e-learning and face-to-face training is a convenient and affordable way to learn new digital skills. However, the problem is the low number of e-learning graduates and the even lower number of those who use the newly acquired skills for professional or personal purposes. Machine learning approach is used to predict student achievement and other events. However, no comprehensive study has been conducted, analyzing how to improve digital skills training by ensuring that newly acquired skills are meaningfully used in professional life.

The present paper is a literature and experience summary about contradictions existing in higher education, nowadays. Thus, it is important to understand the underlying reasons and historical background to find ability to move towards higher education system for sustainability. Seven main contradiction groups have been distinguished and an overview is given in the article. The analysis is more focused on a situation in Latvia and the post-soviet space since the authors are well acquainted with the system. The main future research object is university mission, since from the mission statement analysis it has been found that low rated universities lack the distinction between education and training, having bigger stress on training, and that is growing into future problems and this situation interferes with the sustainable education goal.

Blockchain educational technology has created assessment and management tools for learner credentials that are permanent, transparent and sustainable while giving users direct access. Personal encrypted credentials enable users to shape lifelong learning pathways and personalizes education according to individual values and needs. They allow for the permanent documentation of both formal and informal learning based on transversal competencies, adjustable across the economic sector and responsive to situational needs. Badging was the initial response to online credentialing. Mozilla’s open digital badges have become the unofficial global standard and the specifications remain free. They may be viewed in e-portfolios and social networks. Yet, if issuers cease hosting badges, they become invalid even when authentic. Some experiments with blockchain technology remedy this situation by creating a permanent, secure and sustainable infrastructure for learning records. The MIT Media Lab has produced the bitcoin based Blockcerts; whereas the Knowledge Institute, Open University, UK has developed Ethereum’s Smart Contracts to document Microcredentials (Badges). Both are Open Source products. Most EU nations are experimenting with educational blockchain. The technology creates an infrastructure to document, store and manage credentials and provides learners with a sustainable record of achievements they can control. It also benefits universities by reducing administrative costs and bureaucracy.