Artificial Intelligence, Machine Learning and Extended Reality: Potential Problem Solvers for Higher Education Issues
Valentin Kuleto, Larisa Mihoreanu, Daniel Gabriel Dinu, Milena P. Ilić, Dan Gheorghe Păun · Springer series on cultural computing · 2023
This chapter investigates the potential of new digital technologies and innovative tools in solving Higher Education issues.Higher Education establishments in both Serbia and Romania have experienced dramatic challenges under the process of building up a resilient educational system defined though sound cross-cutting competences according to market demands. Some changes resulted from the EU’s transformational reforms approved, the new technologies applied, and teaching and learning methodologies implemented. The primary examples of technology are Massive Open Online Courses (MOOCs) and e-learning platforms, Artificial Intelligence, Machine Learning, Extended Reality, and Blockchain. Examples of innovative teaching techniques include problem-solving, games, interactive instruction, the development of transversal competencies, and knowledge transfer. The targeted and well-structured approach of the agile management within Higher Education has helped to incorporate some of the educational market needs, outlining the potential to get rid of internal injustices as well. The chapter focuses on the survey method used to look at the opinions of students from the Information Technology School in Belgrade (Serbia) and the Spiru Haret University in Bucharest (Romania). Students took part in an exploratory survey to find out more about their knowledge of Extended Reality, Machine Learning, and Artificial Intelligence as well as their perspectives regarding the difficulties and potential uses of these tools.