Activities per year
Abstract
The Virtual Neutrons for Teaching project (vnt.nmi3.org) has converted traditional text book material into a wiki-style online text book that contains the same text and equations as the traditionally styled text book but has added features due to the online nature. Two of these features are hypertext navigability (in-text and navigation bar) and socalled wiki-problems some of which have associated hints and solutions. For these problems, students actively choose whether and when to show problem hints and solutions during problem solving. Students might also navigate the page as part their problem solving strategy. In this study, we use web analytics software to track student online behavior by recording what particular objects on particular web-pages students click on and when each click occurs. For each recorded session, we create networks based on student clicks: A directed link between two nodes, 1 and 2, is drawn, if the object represented by node 2 is clicked right af the object represented by node 1. Preliminary analysis of these networks show two general types of behavior: In one type, there is little interaction with the online contents. The student navigates to the page on which the problem occurs and quickly presses "show hint"/"show solution" when these options are available. Networks of these sessions are characterized by big loops and relatively few hubs. In the other type, there seems to be more interaction with the online content. The student navigates pages, returns to the problem text, presses "show hint"/"show solution", but hides them again and sometimes re-open after having visited.
Translated title of the contribution | Kortlægning af studerendes online handlinger |
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Original language | English |
Publication date | 27 Mar 2015 |
Publication status | Published - 27 Mar 2015 |
Event | Complenet 2015 - New York, United States Duration: 25 Mar 2015 → 27 Mar 2015 |
Conference
Conference | Complenet 2015 |
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Country/Territory | United States |
City | New York |
Period | 25/03/2015 → 27/03/2015 |
Keywords
- Faculty of Science
- networks
- learning
- e-learning
- complexity
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