Needs and Performance Analysis for Changes in Higher Education and Implementation of Artificial Intelligence, Machine Learning, and Extended Reality
Bibliographic Data
| ID | 22046652 |
|---|---|
| Authors | Milena Ilić (0000-0002-9719-175X, University of Arts in Belgrade, corresponding author), Dan Gheorghe Păun (0000-0002-9859-7399, Spiru Haret University), Dan Păun (Spiru Haret University), Nevenka Popović Šević (0000-0002-7435-2979, University of Arts in Belgrade), Aleksandra Hadžić (Belgrade Open School), Rocsana Bucea-Manea-Țoniș (0000-0003-2708-1325, Spiru Haret University) |
| Year | 2021 |
| Volume | 11 |
| Issue | 10 |
| Pages | 568 |
| Publication date | 2021-09-23 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2227-7102 • E-ISSN: 2227-7102 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/educsci11100568 |
| OpenAlex | W3199209374 |
| Language | EN |
| Citations received | 7 |
| References cited | 13 |
Higher education in the Republic of Serbia needs to be reformed. This paper presents a performance analysis of the changes that the authors assume are mandatory, presenting the research problem this article addresses. Cabinet research, performed by analyzing the theoretical building blocks of available knowledge and experience, is underway. Articles and studies from various publications, such as academic journals and institutes, were used as sources. In addition, academic articles and papers and studies about artificial intelligence, machine learning, and extended reality were also consulted. The authors consider that these technologies could be of great assistance in developing a new higher education strategy. Further, this research is exploratory given that information from the 100 Serbian students from selected higher education institutions was used to better understand if these technologies are welcomed by students. Based on SmartPls software, the research analysis proved that artificial intelligence (AI) and machine learning (ML) are appropriate technologies implemented in higher education institutions (HEI) to develop skills among students, a collaborative learning environment, and an accessible research environment. Additionally, extended reality (XR) facilitates increased motivation, engagement, and learning-by-doing activities between students, offering a realistic environment for learning
Exploratory research · Higher education · Knowledge management · Learning environment · Mathematics education · Political science · Serbian · Social science · Sociology · Computer Science · E-Learning and Knowledge Management · Online Learning and Analytics · Psychology · Scientific Research and Technology · Artificial Intelligence
Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education
Predicting the use of artificial intelligence based on digital competencies in postgraduate education using a machine learning approach
Co-Created Virtual Reality (VR) Modules in Landscape Architecture Education
Smartphone Handwritten Circuits Solver Using Augmented Reality and Capsule Deep Networks for Engineering Education
Possibilities of Extended Reality in education
Artificial Intelligence in Education
Ten Essential Pillars in Artificial Intelligence for University Science Education
| Citations per year | 1.4 |
|---|---|
| Citation span | 2021 - 2026 (6) |
| Highly cited | No |