No abstract

Following COVID-19, new accreditation standards include digitization, entrepreneurship, social inclusion and the circular economy. Blockchain can help to simplify difficult accreditation processes that ensure worldwide teaching, learning, practice and business communication excellence. The paper proposes a Collaborative Learning and Student Work Evaluation (CLSWE) model based on blockchain technologies (BCTs) encompassing selected concepts from the scientific research peer-review process. BCTs are used to develop a safe platform for storing and exchanging data about students’ projects and evaluations. The CLSWE model offers the possibility of improving cooperation between higher-education institutions and companies that seek the “employable skills” of proactive students. Before implementing the CLSWE model, a questionnaire was conducted to survey lecturers about their attitudes related to the potential application of BCTs. The results of the surveys are encouraging and reveal a desire and willingness to introduce BCTs in education. A project scheme with the main functionalities of the model and a description of the roles of the prominent participants was designed. A platform with a database created in the MySQL language for the testing model was built. This research also contributes to higher education literature in terms of the sustainability of the education process and collaborative learning with BCTs.

The fact is that mobile phones are increasingly replacing computers with features such as Internet access, emailing, access to social networks. With the advent of smartphones, the role of computers in information communication networks is reduced. Modern phones take on the role of participants in the cyberspace, both the potential victim and the object of protection, and the possible means of cyberattacks. With these facts, the field of evidence moves from tangible things into an intangible and hardto-prove field. Mobile phones become a source of data storage, which in addition to pointing to the commission of a criminal offense, performing and detecting communications and location of the phone users. With the help of them, we obtain a further complete picture of the planning and the place where the crime was committed. Since the data in the phone's memory is not completely erased with their dedicated removal, their obtaining is possible with the help of forensic tools specifically for this purpose. Digital Forensics that relates to computer forensics is necessary to complete with specialized forensic tools for smartphones. Therefore, the tendency is to apply and improve the forensics of mobile devices as a type of digital forensics and the development of forensic tools that will be specialized for these devices.