Implementation, use and analysis of open source learning management system “Moodle” and e-learning for the deaf in Jordan

When learning mathematics, deaf children of primary school age experience difficulties due to their disability. In Jordan, little research has been undertaken to understand the problems facing deaf children and their teachers. Frequently, children are educated in special schools for the deaf; the majority of deaf children tend not to be integrated into mainstream education although efforts are made to incorporate them into the system. Teachers in the main stream education system rarely have knowledge and experience to enable deaf students to reach their full potential. The methodological approach used in this research is a mixed one consisting of action research and Human Computer interaction (HCI) research. The target group was deaf children aged nine years (at the third grade) and their teachers in Jordanian schools. Mathematics was chosen as the main focus of this study because it is a universal subject with its own concepts and rules and at this level the teachers in the school have sufficient knowledge and experience to teach mathematics topics competently. In order to obtain a better understanding of the problems faced by teachers and the deaf children in learning mathematics, semi-structured interviews were undertaken and questionnaires distributed to teachers. The main aim at that stage of research was to explore the current use and status of the e-learning environment and LMS within the Jordanian schools for the deaf in Jordan. In later stages of this research, semi-structured interviews and questionnaires were used again to ascertain the effectiveness, usability and readiness of the adopted e-learning environment “Moodle. Finally pre-tests and post-tests used to assess the effectiveness of the e-learning environment and LMS. It is important to note that it was not intended to work with the children directly but were used as test subjects. Based on the requirements and recommendations of the teachers of the deaf, a key requirements scheme was developed. Four open source e-learning environments and LMS evaluated against the developed key requirements. The evaluation was based on a software engineering approache. The outcome of that evaluation was the adoption of an open source e-learning environment and LMS called “Moodle”. Moodle was presented to the teachers for the purpose of testing it. It was found it is the most suitable e-learning environment and LMS to be adapted for use by deaf children in Jordan based on the teachers requirements. Then Moodle was presented to the deaf children’s to use during this research. After use, the activities of the deaf and their teachers were used and analysed in terms of Human Computer Interaction (HCI) analysis. The analysis includes the readiness, usability, user satisfaction, ease of use, learnability, outcome/future use, content, collaboration & communication tools and functionality

The frequency of falls in children judo training

Purpose: Falling techniques are inseparable part of youth judo training. Falling techniques are related to avoiding injuries exercises (Nauta et al., 2013). There is not good evidence about the ratio of falling during the training in children. Methods: 26 children (age 8.88±1.88) were video recorded on ten training sessions for further indirect observation and performance analysis. Results: Research protocol consisted from recording falls and falling techniques (Reguli et al., 2015) in warming up, combat games, falling techniques, throwing techniques and free fighting (randori) part of the training session. While children were taught almost exclusively forward slapping roll, backward slapping roll and sideward direct slapping fall, in other parts of training also other types of falling, as forward fall on knees, naturally occurred. Conclusions: Judo coaches should stress also on teaching unorthodox falls adding to standard judo curriculum (Koshida et al., 2014). Various falling games to teach children safe falling in different conditions should be incorporated into judo training. Further research to gain more data from groups of different age in various combat and non-combat sports is needed

Fear of crime and victimization among the elderly participating in the self-defence course

Purpose. Self-defence training could enhance seniors´ defensive skills and fitness. There is lack of evidence about fear and concerns of seniors participating in the self-defence course. Methods. 18 elderly persons (16 female, 1 male; age 66.2, SD=5.86) participated in the self-defence course lasting 8 training units (each unit 60 minutes). Standardized tool for fear of crime and victimization analysis previously used in Euro-Justis project in the Czech Republic (2011) was used in pretest and posttest. Results. We explored the highest fear of crime by participants in their residence area after dark (mean=2,77; median=3; SD=0,80), lower fear at the night in their homes (mean=2,29; median=2; SD=0,75) and in their residence area at the daytime (mean=2,00; median=2; SD=0,77) at the beginning of the course. We noticed certain decrease of fear of crime after the intervention. Participant were less afraid of crime in their residence area after dark (mean=2,38; median=2; SD=0,77), they felt lower fear of crime at the night in their homes (mean=2,00; median=2; SD=0,48) and in their residence area at the daytime (mean=1,82; median=2; SD=0,63). Conclusions. The approach to self-defence teaching for elderly should be focused not just on the motor development, but also on their emotional state, fear of crime, perception of dangerousness of diverse situations and total wellbeing. Fear of crime analysis can contribute to create tailor made structure of the self-defence course for specific groups of citizens

WSN based sensing model for smart crowd movement with identification: a conceptual model

With the advancement of IT and increase in world population rate, Crowd Management (CM) has become a subject undergoing intense study among researchers. Technology provides fast and easily available means of transport and, up-to-date information access to the people that causes crowd at public places. This imposes a big challenge for crowd safety and security at public places such as airports, railway stations and check points. For example, the crowd of pilgrims during Hajj and Ummrah while crossing the borders of Makkah, Kingdom of Saudi Arabia. To minimize the risk of such crowd safety and security identification and verification of people is necessary which causes unwanted increment in processing time. It is observed that managing crowd during specific time period (Hajj and Ummrah) with identification and verification is a challenge. At present, many advanced technologies such as Internet of Things (IoT) are being used to solve the crowed management problem with minimal processing time. In this paper, we have presented a Wireless Sensor Network (WSN) based conceptual model for smart crowd movement with minimal processing time for people identification. This handles the crowd by forming groups and provides proactive support to handle them in organized manner. As a result, crowd can be managed to move safely from one place to another with group identification. The group identification minimizes the processing time and move the crowd in smart way