Abstract
Web mining and visualization techniques are used to discover the underlying patterns of online learning experience. Yet, the analytics are often limited to merely behavioral data lacking other critical dimensions that form an important part of the learning experience such as learners’ cognitive involvement and emotional experience. Therefore, it is critical to find a method that can capture a holistic online learning experience while a learner progresses in an online course. This chapter introduces the Experience Sampling Method (ESM) that can be used to supplement Web Log Analysis (WLA) by collecting data on learners’ cognitive involvement and emotion in each learning task. Then this chapter reports a case study of utilizing the ESM and WLA to examine online learning experiences in a discussion-focused online course and a design-/development-focused online course. Lastly, a visualized learning experience dashboard is presented to show an individual learner's learning experience based upon the three dimensions of learning experience.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
