Document Type : Academic research papers
Authors
1
Girls College of Arts, Science and Education, Ain Shams University - Department of Education and Information Technology
2
Faculty of women for arts science and education, Ain shams university, Egypt
3
Girls College of Arts, Sciences and Education - Ain Shams University- Department of Education and Information Technology
Abstract
Abstract:
The current research aims to arrive at a list of criteria for designing an intelligent advisor based on learning analytics in an e-learning environment. To achieve this goal, the researchers used the descriptive analytical research approach in presenting, analyzing and studying the research, that is to extract the criteria, and in turn, present them to the arbitrators, and extract the final criteria in light of the arbitrators’ opinions. Studies and research were presented and analyzed, and the sources for deriving the standards and the methods of classifying them, analyzing them, and developing their indicators were also reviewed. The researchers arrived at an initial list of standards and their indicators, and they were judged by specialists in the field of educational and information technology. Hence, a final list was reached, that included (10) main criteria which are: (design of the environment interaction interface, instructions and directions, educational objectives, characteristics of the target group, design of educational content, design of educational tasks and activities, evaluation, feedback, design of the smart advisor, and design of learning analytics). Within the final list, a number of (160) sub-indicators emerged, divided into three main parts that included (design standards for the e-learning environment - design standards for the intelligent advisor – and design standards for learning analytics). These criteria can be used when designing an intelligent advisor based on learning analytics in e-learning environments. The research recommended the necessity of using the list of design criteria when designing an intelligent advisor based on learning analytics.
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