LEARNERS SATISFACTION FACTORS IN NEUROLOGY RELATED MOOCs

Ionela Maniu, George Constantin Maniu and Bogdan Neamtu
Additional contact information
Ionela Maniu: Research and Telemedicine Center in Neurological Diseases in Children, Pediatric Clinical Hospital Sibiu; “Lucian Blaga” University, Sibiu, Romania
George Constantin Maniu: “Lucian Blaga” University, Sibiu, Romania
Bogdan Neamtu: Research and Telemedicine Center in Neurological Diseases in Children, Pediatric Clinical Hospital Sibiu; “Lucian Blaga” University, Sibiu, Romania

SEA - Practical Application of Science, 2017, issue 15, 463-469

Abstract: The aim of this article is to investigate the factors that are influencing student satisfaction in case of neurology related massive open online courses (MOOCs). We analyzed data collected from learners enrolled in 40 neurology related MOOCs, by manually looking for information in these courses reviews. The main identified satisfaction factors can be grouped into the following categories: content related factors: course content, additional materials, assignments, external research and teaching - learning related factors (teacher presentation techniques / style): engaging, clear, coherent, knowledgeable, sharing / explanation, interactive, excitement, considering student’s needs, inspiring, sense of humor. Competences, skills and objectives pursued by neurology related MOOCs are also discussed. Analyzing these factors can be useful in new courses management (design and implementation) and also in understanding the needs (motivation, behaviors, perception) of 21st century learners interested in neurology related fields.

Keywords: Neurology; Masive open online courses (MOOCs); Satisfaction factors; Teaching; Learning (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://seaopenresearch.eu/Journals/articles/SPAS_15_19.pdf (application/pdf)

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:cmj:seapas:y:2017:i:15:p:463-469

Access Statistics for this article

SEA - Practical Application of Science is currently edited by Romanian Foundation for Business Intelligence

More articles in SEA - Practical Application of Science from Romanian Foundation for Business Intelligence, Editorial Department
Bibliographic data for series maintained by Serghie Dan ().