An Adaptive E-learning System Based on Storytelling for Civil Mediation
نویسندگان
چکیده
In March 2011 the Italian Government introduced mandatory pre-trial mediation of civil and commercial cases. The Italian mediation model is capable of sensibly speed-up the settlement of disputes but, on the other end, citizens need to be sensitized to the benefits of mediation and must be trained on how mediation works and how to access it. The purpose of this paper is to describe a learning model based on Storytelling and its application in the context of training for civil mediation helping to build challenging training resources that explain, to common citizens with little or no background about legal topics, concepts related to legal mediation in general and in specific areas like e-commerce and civil liability. The defined model has been contextualized with respect to relevant literature and implemented through the development of two software components that have been integrated in an existing e-learning environment.
منابع مشابه
A Storytelling Learning Model for Legal Education
The purpose of this paper is to describe a learning model based on Storytelling and its application in the context of legal education helping build challenging training resources that explain, to common citizens with little or no background about legal topics, concepts related to Legal Mediation in general and in specific areas like e-commerce and civil liability. The defined model has been con...
متن کاملThe Role of Student Characteristics, Content Quality and Knowledge Management in Using E-Learning by Medical Students through Mediation of E-Learning Acceptance (Case Study: Shiraz University of Medical Sciences)
Introduction: Considering the importance of using e- learning in the medical education system, this study aims to investigate the role of students' characteristics, content quality and knowledge management in using e- learning system through the mediation of e-learning acceptance among students of Shiraz University of Medical Sciences. Methods: In terms of purpose and nature, this research is ...
متن کاملAn Energy Based Adaptive Pushover Analysis for Nonlinear Static Procedures
Nonlinear static procedure (NSP) is a common technique to predict seismic demands on various building structures by subjecting a monotonically increasing horizontal loading (pushover) to the structure. Therefore, the pushover analysis is an important part of each NSP. Accordingly, the current paper aims at investigating the efficiencyof various algorithms of lateral load patterns applied to the...
متن کاملAdaptive Neural Fuzzy Inference System Models for Predicting the Shear Strength of Reinforced Concrete Deep Beams
A reinforced concrete member in which the total span or shear span is especially small in relation to its depth is called a deep beam. In this study, a new approach based on the Adaptive Neural Fuzzy Inference System (ANFIS) is used to predict the shear strength of reinforced concrete (RC) deep beams. A constitutive relationship was obtained correlating the ultimate load with seven mechanical a...
متن کاملPerfect Tracking of Supercavitating Non-minimum Phase Vehicles Using a New Robust and Adaptive Parameter-optimal Iterative Learning Control
In this manuscript, a new method is proposed to provide a perfect tracking of the supercavitation system based on a new two-state model. The tracking of the pitch rate and angle of attack for fin and cavitator input is of the aim. The pitch rate of the supercavitation with respect to fin angle is found as a non-minimum phase behavior. This effect reduces the speed of command pitch rate. Control...
متن کامل