Alvin Fungai’s scientific contributions

The Internet made it easier to access information almost anywhere at anytime. With all sorts of analytics such as pageview, behaviorist can see how users browsed the web. However there is a limit to how much data pageview analytic can provide. Pageview can answer what, when, and where a webpage is viewed but cannot answer how a page is viewed. Simply saying it cannot show the reading pattern of a user on a page. Therefore this work proposes to extend the tracking capability of the pageview feature where the monitoring is done as far as the sections of the page. The demonstrated web application developed consists of Javascript which provides the main feature of reading pattern tracking, Java to store the data into the database which later on can be used for analytics, and these were tested on a simple HTML page. The web application can show the date accessed to a particular section and the duration spent on that section by the user. It can also provide data that shows the reading pattern of a reader which in the future can be used for analysis by other researchers.

Many researchers had used the page view feature to identify the behavior of online users. Evaluators on e-learning for example used content views, quiz attempts, and scores to analyze the students' performance. However, these data still lacks some details compare to thorough face to face evaluation. The data can answer what, when, and where, but cannot answer how a page is viewed. To answer that question it is needed to track as detail as the page section level. This introductory work shows a path to that answer by demonstrating tracking of the date and duration viewed of a HTML page section using Javascript. This extended feature will open up new possibilities for those researching the behaviors of online users alike.