A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Blended or Distance Learning? Comparing Student Performance Between University and Open University
Tekijät: Erkki Kaila, Henri Kajasilta
Toimittaja: Maria Bielikova, Tommi Mikkonen, Cesare Pautasso
Konferenssin vakiintunut nimi: International Conference on Web Engineering
Kustantaja: Springer
Julkaisuvuosi: 2020
Journal: Lecture Notes in Computer Science
Kokoomateoksen nimi: Web Engineering: 20th International Conference, ICWE 2020, Helsinki, Finland, June 9–12, 2020, Proceedings
Tietokannassa oleva lehden nimi: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Sarjan nimi: Lecture Notes in Computer Science
Vuosikerta: 12128
Aloitussivu: 477
Lopetussivu: 484
ISBN: 978-3-030-50577-6
ISSN: 0302-9743
DOI: https://doi.org/10.1007/978-3-030-50578-3_32
Programming and computer science are nowadays taught in various institutions to a very heterogeneous group of people. Open universities are a typical example of non-traditional educational institutes. Online learning and blended learning models are often utilized in open universities because the students rarely study full time. In this paper, we present a study where four programming and computer science courses were taught in the Open University and in the university at the same time. A blended learning methodology was used to teach the courses in the university. The students in the open university could decide freely whether they wanted to take the courses fully online or to participate into classroom sessions as well. Moreover, no lectures were given in the open university. Instead, the students could download lecture handouts and other material online. The results from continuous assessment and the final exam of four shared IT/CS courses were analyzed. We found out that although there are some statistical differences in the results of individual sections, in general the course results are quite similar in both universities. However, the incomplete data of chosen methodologies prevents us from fully answering the research questions.