An intelligent recommendation system framework for student relationship management

In order to enhance student satisfaction, many services have been provided in order to meet student needs. A recommendation system is a significant service which can be used to assist students in several ways. This paper proposes a conceptual framework of an Intelligent Recommendation System in order to support Student Relationship Management (SRM) for a Thai private university. This article proposed the system architecture of an Intelligent Recommendation System (IRS) which aims to assist students to choose an appropriate course for their studies. Moreover, this study intends to compare different data mining techniques in various recommendation systems and to determine appropriate algorithms for the proposed electronic Intelligent Recommendation System (IRS). The IRS also aims to support Student Relationship Management (SRM) in the university. The IRS has been designed using data mining and artificial intelligent techniques such as clustering, association rule and classification

An investigation on the performance of four learning instruction designs in virtual experimenting learning for educating Thai youths on traffic rules

Road accident is a major cause of mortality in many countries. In Thailand, youths have a higher rate of accidents than the average population. One of the strategic action plans is to educate Thai Youths in order to improve their understanding of traffic rules and to increase their awareness of road safety. This article is an initial report aiming to investigate the performance of four learning instruction designs for Virtual Experiential Learning (VEL) based on different learning instructional materials. This study compared the learning results between pre-test and post-test scores of four groups of participants. The results support the hypotheses that all the learning instructions have the capacity to educate the Thai youths on traffic rules. This paper also discusses the next phase of this study which will investigate the effectiveness of the use of Virtual Experiential Learning (VEL) with an aim to reduce cognitive