A4 Vertaisarvioitu artikkeli konferenssijulkaisussa

Blended or Distance Learning? Comparing Student Performance Between University and Open University




TekijätErkki Kaila, Henri Kajasilta

ToimittajaMaria Bielikova, Tommi Mikkonen, Cesare Pautasso

Konferenssin vakiintunut nimiInternational Conference on Web Engineering

KustantajaSpringer

Julkaisuvuosi2020

JournalLecture Notes in Computer Science

Kokoomateoksen nimiWeb Engineering: 20th International Conference, ICWE 2020, Helsinki, Finland, June 9–12, 2020, Proceedings

Tietokannassa oleva lehden nimiLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Sarjan nimiLecture Notes in Computer Science

Vuosikerta12128

Aloitussivu477

Lopetussivu484

ISBN978-3-030-50577-6

ISSN0302-9743

DOIhttps://doi.org/10.1007/978-3-030-50578-3_32


Tiivistelmä

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.



Last updated on 2024-26-11 at 23:22