Blended learning is an effective strategy for acquiring competence in public health biostatistics

Natasa Milic (), Srdjan Masic, Vesna Bjegovic-Mikanovic, Goran Trajkovic, Jelena Marinkovic, Jelena Milin-Lazovic, Zoran Bukumiric, Marko Savic, Andja Cirkovic, Milan Gajic and Dejana Stanisavljevic
Additional contact information
Natasa Milic: University of Belgrade
Srdjan Masic: University of Belgrade
Vesna Bjegovic-Mikanovic: University of Belgrade
Goran Trajkovic: University of Belgrade
Jelena Marinkovic: University of Belgrade
Jelena Milin-Lazovic: University of Belgrade
Zoran Bukumiric: University of Belgrade
Marko Savic: University of Belgrade
Andja Cirkovic: University of Belgrade
Milan Gajic: University of Belgrade
Dejana Stanisavljevic: University of Belgrade

International Journal of Public Health, 2018, vol. 63, issue 3, No 13, 428 pages

Abstract: Abstract Objectives We sought to determine whether blended learning is an effective strategy for acquiring competence in public health biostatistics. Methods The trial was conducted with 69 Masters’ students of public health attending the School of Public Health at University of Belgrade. Students were exposed to the traditional and blended learning styles. Blended learning included a combination of face-to-face and distance learning methodologies integrated into a single course. Curriculum development was guided by competencies as suggested by the Association of Schools of Public Health in the European Region (ASPHER). Teaching methods were compared according to the final competence score. Results Forty-four students were enrolled in the traditional method of education delivery, and 25 to the blended learning format. Mean exam scores for the blended learning group were higher than for the on-site group for both the final statistics score (89.65 ± 6.93 vs. 78.21 ± 13.26; p 0.8). Conclusions A blended learning approach is an attractive and effective way of acquiring biostatistics competence for Masters of Public Health (MPH) graduate students.

Keywords: Public health; Master; Competences; Biostatistics; Blended learning (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s00038-017-1039-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijphth:v:63:y:2018:i:3:d:10.1007_s00038-017-1039-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/00038

DOI: 10.1007/s00038-017-1039-5

Access Statistics for this article

International Journal of Public Health is currently edited by Thomas Kohlmann, Nino Künzli and Andrea Madarasova Geckova

More articles in International Journal of Public Health from Springer, Swiss School of Public Health (SSPH+)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().