Web-Based Learning in Computer Science: Insights into Progress and Problems of Learners in MOOCs

Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearchpeer review

Authors

Research Organisations

External Research Organisations

  • Technical University of Munich (TUM)
View graph of relations

Details

Original languageEnglish
Title of host publicationNon-Formal and Informal Science Learning in the ICT Era
Place of PublicationCham
Pages51-79
Number of pages29
ISBN (electronic)978-981-15-6747-6
Publication statusPublished - 15 Sept 2020

Publication series

NameLecture Notes in Educational Technology
ISSN (Print)2196-4963
ISSN (electronic)2196-4971

Abstract

Web-based resources and massive open online courses (MOOCs) are promising forms of non-formal and technology-enhanced learning. Advantages are the flexibility regarding location and time and the possibilities for self-regulated learning. Furthermore, web technologies have considerably evolved over the past years, enabling complex interactive exercises and communication among the learners. However, online learning also has its challenges regarding, e.g., the motivation and low-completion rates in MOOCs. Following a design-based research methodology, we designed, developed, and evaluated a MOOC for the introduction of object-oriented programming. In three course runs, we collected extensive textual feedback from the participants which we analyzed inductive qualitative content analysis (QCA) by Mayring. We complement this with quantitative analyses regarding the performance of the learners in the course. The results give insights into the progress, preferences, and problems of learners in MOOCs. We furthermore used these results as a basis for adapting the course in the following iterations of our design-based research and observed a significant increase in the course completion rate.

ASJC Scopus subject areas

Cite this

Web-Based Learning in Computer Science: Insights into Progress and Problems of Learners in MOOCs. / Krugel, Johannes Arno; Hubwieser, Peter.
Non-Formal and Informal Science Learning in the ICT Era. Cham, 2020. p. 51-79 (Lecture Notes in Educational Technology).

Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearchpeer review

Krugel, JA & Hubwieser, P 2020, Web-Based Learning in Computer Science: Insights into Progress and Problems of Learners in MOOCs. in Non-Formal and Informal Science Learning in the ICT Era. Lecture Notes in Educational Technology, Cham, pp. 51-79. https://doi.org/10.1007/978-981-15-6747-6_4
Krugel, J. A., & Hubwieser, P. (2020). Web-Based Learning in Computer Science: Insights into Progress and Problems of Learners in MOOCs. In Non-Formal and Informal Science Learning in the ICT Era (pp. 51-79). (Lecture Notes in Educational Technology).. https://doi.org/10.1007/978-981-15-6747-6_4
Krugel JA, Hubwieser P. Web-Based Learning in Computer Science: Insights into Progress and Problems of Learners in MOOCs. In Non-Formal and Informal Science Learning in the ICT Era. Cham. 2020. p. 51-79. (Lecture Notes in Educational Technology). doi: 10.1007/978-981-15-6747-6_4
Krugel, Johannes Arno ; Hubwieser, Peter. / Web-Based Learning in Computer Science: Insights into Progress and Problems of Learners in MOOCs. Non-Formal and Informal Science Learning in the ICT Era. Cham, 2020. pp. 51-79 (Lecture Notes in Educational Technology).
Download
@inbook{c10ba6bb7d944668bf33c801b412a46c,
title = "Web-Based Learning in Computer Science: Insights into Progress and Problems of Learners in MOOCs",
abstract = "Web-based resources and massive open online courses (MOOCs) are promising forms of non-formal and technology-enhanced learning. Advantages are the flexibility regarding location and time and the possibilities for self-regulated learning. Furthermore, web technologies have considerably evolved over the past years, enabling complex interactive exercises and communication among the learners. However, online learning also has its challenges regarding, e.g., the motivation and low-completion rates in MOOCs. Following a design-based research methodology, we designed, developed, and evaluated a MOOC for the introduction of object-oriented programming. In three course runs, we collected extensive textual feedback from the participants which we analyzed inductive qualitative content analysis (QCA) by Mayring. We complement this with quantitative analyses regarding the performance of the learners in the course. The results give insights into the progress, preferences, and problems of learners in MOOCs. We furthermore used these results as a basis for adapting the course in the following iterations of our design-based research and observed a significant increase in the course completion rate.",
author = "Krugel, {Johannes Arno} and Peter Hubwieser",
note = "Funding information: This work was partially supported by the Dr.-Ing. Leonhard Lorenz-Stiftung (Grant No. 949/17) and the European Union{\textquoteright}s Horizon 2020 research and innovation programme (grant agreement No. 787476). We thank Alexandra Funke and Marc Berges for developing parts of the course. We would furthermore like to thank all course participants for taking the time to provide their valuable feedback and the reviewers for the comments that helped to improve the exposition.",
year = "2020",
month = sep,
day = "15",
doi = "10.1007/978-981-15-6747-6_4",
language = "English",
isbn = "978-981-15-6746-9",
series = "Lecture Notes in Educational Technology",
pages = "51--79",
booktitle = "Non-Formal and Informal Science Learning in the ICT Era",

}

Download

TY - CHAP

T1 - Web-Based Learning in Computer Science: Insights into Progress and Problems of Learners in MOOCs

AU - Krugel, Johannes Arno

AU - Hubwieser, Peter

N1 - Funding information: This work was partially supported by the Dr.-Ing. Leonhard Lorenz-Stiftung (Grant No. 949/17) and the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 787476). We thank Alexandra Funke and Marc Berges for developing parts of the course. We would furthermore like to thank all course participants for taking the time to provide their valuable feedback and the reviewers for the comments that helped to improve the exposition.

PY - 2020/9/15

Y1 - 2020/9/15

N2 - Web-based resources and massive open online courses (MOOCs) are promising forms of non-formal and technology-enhanced learning. Advantages are the flexibility regarding location and time and the possibilities for self-regulated learning. Furthermore, web technologies have considerably evolved over the past years, enabling complex interactive exercises and communication among the learners. However, online learning also has its challenges regarding, e.g., the motivation and low-completion rates in MOOCs. Following a design-based research methodology, we designed, developed, and evaluated a MOOC for the introduction of object-oriented programming. In three course runs, we collected extensive textual feedback from the participants which we analyzed inductive qualitative content analysis (QCA) by Mayring. We complement this with quantitative analyses regarding the performance of the learners in the course. The results give insights into the progress, preferences, and problems of learners in MOOCs. We furthermore used these results as a basis for adapting the course in the following iterations of our design-based research and observed a significant increase in the course completion rate.

AB - Web-based resources and massive open online courses (MOOCs) are promising forms of non-formal and technology-enhanced learning. Advantages are the flexibility regarding location and time and the possibilities for self-regulated learning. Furthermore, web technologies have considerably evolved over the past years, enabling complex interactive exercises and communication among the learners. However, online learning also has its challenges regarding, e.g., the motivation and low-completion rates in MOOCs. Following a design-based research methodology, we designed, developed, and evaluated a MOOC for the introduction of object-oriented programming. In three course runs, we collected extensive textual feedback from the participants which we analyzed inductive qualitative content analysis (QCA) by Mayring. We complement this with quantitative analyses regarding the performance of the learners in the course. The results give insights into the progress, preferences, and problems of learners in MOOCs. We furthermore used these results as a basis for adapting the course in the following iterations of our design-based research and observed a significant increase in the course completion rate.

UR - http://www.scopus.com/inward/record.url?scp=85091404869&partnerID=8YFLogxK

U2 - 10.1007/978-981-15-6747-6_4

DO - 10.1007/978-981-15-6747-6_4

M3 - Contribution to book/anthology

SN - 978-981-15-6746-9

T3 - Lecture Notes in Educational Technology

SP - 51

EP - 79

BT - Non-Formal and Informal Science Learning in the ICT Era

CY - Cham

ER -

By the same author(s)