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ERIC Number: ED560542
Record Type: Non-Journal
Publication Date: 2015-Jun
Pages: 3
Abstractor: As Provided
Reference Count: 14
Data Analysis Tools and Methods for Improving the Interaction Design in E-Learning
Popescu, Paul Stefan
International Educational Data Mining Society, Paper presented at the International Conference on Educational Data Mining (EDM) (8th, Madrid, Spain, Jun 26-29, 2015)
In this digital era, learning from data gathered from different software systems may have a great impact on the quality of the interaction experience. There are two main directions that come to enhance this emerging research domain, Intelligent Data Analysis (IDA) and Human Computer Interaction (HCI). HCI specific research methodologies can be used to present the user what IDA brings after learning and analyzing user's behavior. This research plan aims to investigate how techniques and mechanisms available in both research areas can be used in order to improve learners' experiences and overall effectiveness of the e-Learning environment. The foreseen contributions relate to three levels. First is the design and implementation of new algorithms for IDA. The next level is related to design and implementation of a generic leaning analytic engine that can accommodate educational data in attempt to model data (i.e., users, assets, etc.) and provide input for the presentation layer. Last and top level is represented by the presentation layer where the output of the underlying levels adapts the user interface for students and professors. [For complete proceedings, see ED560503.]
International Educational Data Mining Society. e-mail:; Web site:
Publication Type: Speeches/Meeting Papers; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: International Educational Data Mining Society