Foroughi, Roya ; Taponecco, Francesca (2005)
A Visualization Tool for Student Assessment and Evaluation in Online Learning.
Proceedings of the IADIS International Conference Applied Computing 2005. Volume II. CD-ROM.
Conference or Workshop Item, Bibliographie
Abstract
Through learner interaction with content objects, in online learning, much data is exchanged and stored in databases. This data is potentially a valuable source of information both in evaluation of learning progress of the learners and in quality control for instructional content and design. Often however this data remains as large amounts of data elements stored in rows and tables, in form on individual numerical or text values with no visible relationship with one another. This presents a challenge to the users of learning managements to extract any meaningful information from the data. With the help of data mining and graphical visualization, however it is possible to get a good overview of the whole data, and to recognize any underlying processes, patterns of behavior and even detect unusual cases. This paper presents a graphical system based on a novel spiraling coordinate system, besides the Cartesian set; this system offers ease of use, various user options and flexibility and allows visual analysis of large datasets and in particular sequential data which is typical in online learning. The system can be used in order to detect regular and irregular patterns, trends, cyclic behavior and outliers in the data.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2005 |
| Creators: | Foroughi, Roya ; Taponecco, Francesca |
| Type of entry: | Bibliographie |
| Title: | A Visualization Tool for Student Assessment and Evaluation in Online Learning. |
| Language: | English |
| Date: | 2005 |
| Publisher: | IADIS Press |
| Event Title: | Proceedings of the IADIS International Conference Applied Computing 2005. Volume II. CD-ROM |
| Abstract: | Through learner interaction with content objects, in online learning, much data is exchanged and stored in databases. This data is potentially a valuable source of information both in evaluation of learning progress of the learners and in quality control for instructional content and design. Often however this data remains as large amounts of data elements stored in rows and tables, in form on individual numerical or text values with no visible relationship with one another. This presents a challenge to the users of learning managements to extract any meaningful information from the data. With the help of data mining and graphical visualization, however it is possible to get a good overview of the whole data, and to recognize any underlying processes, patterns of behavior and even detect unusual cases. This paper presents a graphical system based on a novel spiraling coordinate system, besides the Cartesian set; this system offers ease of use, various user options and flexibility and allows visual analysis of large datasets and in particular sequential data which is typical in online learning. The system can be used in order to detect regular and irregular patterns, trends, cyclic behavior and outliers in the data. |
| Uncontrolled Keywords: | Information visualization, Data mining, E-Learning, Management systems, Standards |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 16 Apr 2018 09:04 |
| Last Modified: | 16 Apr 2018 09:04 |
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