Development of Mobile Application for Word Reordering Problems: An Attempt Oriented to Learning Analytics

摘要

The authors have developed a mobile application for Word Reordering Problems (WRPs) which was designed to collect learners' study logs, such as finger trajectories, to calculate parameter values used in detecting hesitation of learners. Additionally, the authors also have developed a simple Learning Management System (LMS) to store learners' study logs and visualize various parameters or data charts generated by the logs. By comparing the study logs collected on the WRP mobile application with its web version, it is discussed whether or not the parameters provided by the mobile application could also be used to locate the hesitation correctly as previously researched using web application with supervised learning. Another objective of this research is to exploit the practical use of new data types provided by physical sensors embedded in mobile devices. A pilot study showed how the accelerometer values are influenced in the event of accidents such as a sudden stop of a train. By analyzing multiple new data types, we attempt to acquire more information in the process of solving WRPs on mobile devices.