E-learning

Theoretical classes

Education, development and training. Classification of education. The concept and process of learning. Formal, non-formal and informal learning. Learning theories. Basic didactic principles. Development of e-education. E-education in the function of employee development. Training in IT. Communication in e-learning. Personal learning environment. Connecticism. Designing courses and teaching materials. Instructional design models. Creating content for teaching materials in an electronic environment. Learning objects. Blum’s taxonomy.Methods and forms of teaching in e-education. Presentation of knowledge in e-education, graphs of knowledge. E-learning technologies. Electronic and distance education systems. Integration with digital libraries and external knowledge repositories. Adaptive and personalized e-learning. Criteria for adaptation in e-learning. Mobile education. Mobile technologies in formal and non-formal e-learning. Learning through play. Social media in e-learning. Application of virtual and augmented reality in e-learning. Application of simulators in education.Smart educational environments. Smart classrooms. Personalization of smart educational environments based on ambient intelligence and neuroscience. Testing and evaluation of knowledge in e-education. Application of chatbots in e-education. Application of business intelligence and big data analytics in e-education. Blockchain technologies in e-learning. Privacy and data protection in e-learning. Specifics of e-education in primary, secondary, university and lifelong learning. Skills needed for e-learning. Motivation for e-learning. Evaluation and assessment of knowledge in e-learning. Problems of application of information technologies in education. Student-teacher relationship. E-education for interdisciplinary fields. Methods and technologies for assistive and inclusive e-learning. E-learning in companies. Modern approaches to e-learning in companies based on advanced information technologies. Application of intranets, internal social networks and advanced services for communication and cooperation for e-learning in companies. Mobile and micro-learning in the workplace. Trends in e-learning and harmonization with the labor market.

Practical teaching:

Mapping the dimensions of the learning process. Expanding the personal learning environment. Development of individual digital skills. Development of skills needed for e-learning. Development of e-learning courses using the Moodle course management system. Development of adaptive and personalized e-education systems. Designing educational content. Application of mobile technologies in e-education. Implementation of learning concepts through play in e-learning. Application of social media in e-education. Designing educational services based on virtual and augmented reality. Designing smart educational environments. Big data analytics in e-learning. Design of assistive and inclusive e-learning services.

The aim of the course is to consider the complexity of the learning process and e-learning, as well as to introduce students to advanced technologies of e-learning. Then, training for independent design of e-learning systems and designing teaching materials for different contexts.

Students are able to perform analyzes related to the concepts of e-learning and draw conclusions taking into account the social component of the educational process. They are qualified for independent design of electronic education systems based on modern information technologies. They are able to independently create content for e-learning. They are able to critically process the proposed e-learning solutions.

1.B. Radenković, M. Despotović-Zrakić, Z. Bogdanović, D. Barać, A. Labus, E-business, ISBN 978-86-7680-304-0;Faculty of Organizational Sciences, Belgrade, 2015.
2. Despotović-Zrakić, M., Milutinović, V., &Belić, A. (2014). Handbook of Research on High Performance and Cloud Computing in Scientific Research and Education (pp. 1-476). Hershey, PA: IGI Global. doi:10.4018/978-1-4666-5784-7.
3. Despotović-Zrakić, M., Marković, A., Bogdanović, Z., Barać, D., &Krčo, S. (2012). Providing adaptivity in Moodle LMS courses. Journal of Educational Technology & Society, 15(1), 326-338, ISSN 1436-4522.
4. ZahirovićSuhonjić, A., Despotović-Zrakić, M., Labus, A., Bogdanović Z., &Barać, D. (2018). Fostering students’ participation in creating educational content through crowdsourcing, Interactive Learning Environments, 27(1), pp. 72-85, ISSN: 1744-5191.
5. Labus, A., Despotović-Zrakić, M., Radenković, B., Bogdanović, Z., &Radenković, M. (2015). Enhancing formal e-learning with edutainment on social networks. Journal of Computer Assisted Learning, 31(6), 592-605, ISSN: 0266-4909
6. Bogdanović, Z., Barać, D., Jovanić, B., Popović, S., &Radenković, B. (2014). Evaluation of mobile assessment in a learning management system. British Journal of Educational Technology, 45(2), 231-244, doi: 10.1111/bjet.12015, ISSN 0007-1013.
7. AnđelkovićLabrović, J., Milosavljević, G. (2015) „ Possibilities of applying the concept of personal environment for e-learning 2.0 “, Andragogical studies, 1, 175-194, UDK 37.018.43:004.738.5 , http://www.as.edu.rs/pdf/articles/379
8. Petrović, N., AnđelkovićLabrović, J. (2019). Possibilities of data-based approach in learning process management. Andragogical studies, 1, 135-155, doi:10.5937/AndStud1901135P , http://www.as.edu.rs/pdf/articles/452
9. Petrović, N., AnđelkovićLabrović, J., Milinković, I. &Kovačević I. (2019). Data analytics on e-learning engagement, SPIN ’19, Beograd, str. 583-590, http://spin.fon.bg.ac.rs/wp-content/uploads/2019/11/SPIN19_Zbornik_radova.pdf
10. Materials in e-form, from the e-learning portal www.moodle.elab.fon.bg.ac.rs.