09-09-2017, 09:33 AM
Today, due to lack of face-to-face contact, distance-learning instructors have real difficulties in knowing who their students are, how their students behave in the virtual course, what difficulties they encounter, how likely they are to pass the course. In short, feedback is necessary to help improve the learning-teaching process. Although most Learning Content Management Systems (LCMSs) provide a reporting tool, they generally do not show a clear picture of each student's academic progression. In this paper, we propose a decision-making system that helps instructors to answer these and other questions using data mining techniques applied to LCMS database data. The goal of this system is that instructors do not require knowledge of data mining, they only need to request a pattern or model, interpret the result and take the educational actions they deem necessary.
With the advancement of science and technology and the growing impact of information technology on human life, the learning process itself has taken on a new shape. E-learning is a new topic in educational settings and has gradually found its place in recent training methods. But because there is no direct contact between teachers and students in e-learning systems, neither teachers nor students of the course are aware of the behavior of others, so in these types of systems, the need for feedback between students and teachers, this will help improve the teaching and learning process. While most of these systems may offer a reporting tool, teachers in general can not provide a clear view of the status of their students. In this paper we investigate the efficient search of queries as well as global issues, aiming to solve this problem with a new approach in the design of systems to support decision making, a system that would allow teachers to answer questions such as these to understand students' using data mining techniques based on data from the database management system for educational content. Finally, the paper concludes and suggests that teachers in these courses do not require data mining and learning techniques, but only a model or models are needed to interpret the results of teachers and other educational activities that are essential to help.
With the advancement of science and technology and the growing impact of information technology on human life, the learning process itself has taken on a new shape. E-learning is a new topic in educational settings and has gradually found its place in recent training methods. But because there is no direct contact between teachers and students in e-learning systems, neither teachers nor students of the course are aware of the behavior of others, so in these types of systems, the need for feedback between students and teachers, this will help improve the teaching and learning process. While most of these systems may offer a reporting tool, teachers in general can not provide a clear view of the status of their students. In this paper we investigate the efficient search of queries as well as global issues, aiming to solve this problem with a new approach in the design of systems to support decision making, a system that would allow teachers to answer questions such as these to understand students' using data mining techniques based on data from the database management system for educational content. Finally, the paper concludes and suggests that teachers in these courses do not require data mining and learning techniques, but only a model or models are needed to interpret the results of teachers and other educational activities that are essential to help.