| Autor: |
E. Magesh, Ch. A. S. Murty, B Viswanath Reddy, Uday Kumar Mothukuri, Kumar Mandula, Ramu Parupalli, P Naveen Reddy, Sarada Gutti |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
2017 5th National Conference on E-Learning & E-Learning Technologies (ELELTECH). |
| DOI: |
10.1109/eleltech.2017.8074995 |
| Popis: |
As technology progresses, understanding online learner's behavior is the key for successful implementation of digital learning. The more we know about learners, the more tailored learning experiences will be. Analyzing the learner's preferences will help to predict the behavior of learner's so that required support and guidance can be provided on time. For achieving this much more efficient systems are required to process all types of the learner interactions with the learning management system during their each learning activity. This paper discusses the importance of learning analytics, and presents its usage in eLearning. It describes how learning analytics can help the learners, instructors and institutions to look into ongoing learning processes and how the online educational processes can be improved. It also depicts about the proposed system how the learning styles can be used for improving learning experience. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
