7.2 Future work
Since this is a new framework without much testing, it should be tested in multiple courses using different online platforms. In LUT, some existing courses such as the Computer Science 1 and object-oriented programming are using recorded lecture videos, quizzes and online assignments. The courses that are already mostly online and already implement many parts of this framework on their own could be redesigned to use the provided framework and see if the satisfaction increases. This testing would provide valuable results about the framework’s effects.
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8 CONCLUSIONS
This thesis research is conducted in Lappeenranta University of Technology as a study to create an online independent learning course on geographical information systems. For the course, a framework is created to be able to create an effective online learning environment. There are no existing geographical information system courses in Lappeenranta University of Technology, so the whole course had to be created from scratch. Most often geographical information system courses are taught in geography-oriented universities or programs and it is rarer to have such course in a technical university.
This thesis addresses the gap in design frameworks for designing online courses. There are no practical frameworks for creating online courses. Most of the existing frameworks are either too abstract or list pedagogical attributes, such as motivation, that should be implemented without explaining how to do it. The framework in this thesis tackles the problem of ambiguity and tries to explain how different pedagogical attributes can be implemented in an online environment, what activities an online course should implement and how to connect the different activities within a course together.
Some courses in LUT already make use of things described in the framework, such as having short videos and questions in-between videos. One such course was well evaluated during the last semester. That course got an overall grade of 3.83 out of 5 in motivation from participants. The course was to be studied independently except for the voluntary exercises where students could receive guidance. In these exercises, there usually were no students present. Those who came usually attended because they could not install the software at home. Overall, more than 90 % of the students did everything at home.
The results from the testing and survey are promising. In the survey most agreed with the ideas that are implemented in the framework and most problems from testing are related to the content rather than the framework itself. These problems are easily fixed for the first real testing of the course. Overall, this study can be seen as successful.
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APPENDIX 1. Final papers from systematic literature review on online course design and framework
Search terms Title Source
“online course” + framework
(metadata)
Adapting Workflow Technology to Design-based Research: Development of a Method for Organizing the "Messiness" of Research in Technology-rich Online Learning Environments
ACM
An application of fuzzy AHP for evaluating course website quality Science Direct
“online course design” (full text)
An empirical examination of factors affecting college students’ proactive stickiness with a web-based English learning environment
Science
An Innovative Educational Change: Massive Open Online Courses in Robotics and Robotic Vision
IEEE
“online course design” (full text)
An Online curriculum design framework based on 3P model from the perspective of knowledge transfer
IEEE
“online course design” (full text)
An Online Graduate Requirements Engineering Course IEEE
“online course design” (full text)
A strategy for monitoring and evaluating massive open online courses Science Direct
“online course design” (full text)
A Traditional Teaching Model Embedded in Online Course Design IEEE
“online course design” (full text)
Balancing pedagogy, student readiness and accessibility: A case study in collaborative online course development
Science Direct
“online course design” (full text)
Calibration checklist to use in an automated pedagogical evaluation process of web based E-Learning
IEEE
(continues)
APPENDIX 1 (continues)
“online course” + framework
(metadata)
Can more interactivity improve learning achievement in an online course?
Effects of college students' perception and actual use of a
Effects of college students' perception and actual use of a