The Effectiveness of Presentations in Higher Education: Teacher and Student Perspectives




Abstract:
The aim of this paper is to explore and analyze the opinions and attitudes of university students and professors regarding the use of presentations as the most prevailing teaching tool in modern hybrid education, across various teaching subjects. Having in mind numerous advantages and positive aspects of delivering content through PowerPoint presentations, this paper also aims to examine the shortcomings and limitations of using presentations in classes in a university environment. The research was conducted to consider the attitudes of students and teachers, to improve the use of presentations in classes and further enhance the quality of teaching. Based on the analysis of survey results with both teachers and students, it can be concluded that presentations may have an impact on the reduced interaction between students and teachers in class. They are not an essential tool without which the class itself would be less effective. Neither is the class monotonous due to the continuous use of presentations nor is students' attention weakened due to focusing on presentation content. The role of teaching competencies is crucial for maintaining interaction in class, selecting meaningful materials, and provide the dynamics of effective content presentation

CITATION:

IEEE format

M. Veljković Michos, M. Pupovac, D. Lunić, J. Nikolić, M. Čolović, “The Effectiveness of Presentations in Higher Education: Teacher and Student Perspectives,” in Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2024, pp. 316-321. doi:10.15308/Sinteza-2024-316-321

APA format

Veljković Michos, M., Pupovac, M., Lunić, D., Nikolić, J., Čolović, M. (2024). The Effectiveness of Presentations in Higher Education: Teacher and Student Perspectives. Paper presented at Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2024-316-321

BibTeX format
Download

RefWorks Tagged format
Download