زهرا نظری

This study investigates the impact of Iranian EFL learners' motivational goal orientations on their behavioral, cognitive, and emotional engagement in the classroom. Utilizing a mixed-methods design, the research involved 200 intermediate EFL learners from language schools in Iran, who completed the Oxford Quick Placement Test (OQPT), a Goal Orientation Survey, and a Student Engagement Questionnaire. The results show that mastery goal orientations, both approach and avoid, positively predict these engagement dimensions, while performance goal orientations do not significantly affect engagement. The findings highlight the importance of fostering mastery goals to enhance student engagement and improve language learning outcomes. The implications of this study suggest that educators should create a supportive learning environment that emphasizes mastery goals, thereby facilitating deeper engagement and better academic performance among EFL learners. This study investigates the impact of Iranian EFL learners' motivational goal orientations on their behavioral, cognitive, and emotional engagement in the classroom. Utilizing a mixed-methods design, the research involved 200 intermediate EFL learners from language schools in Iran, who completed the Oxford Quick Placement Test (OQPT), a Goal Orientation Survey, and a Student Engagement Questionnaire. The results show that mastery goal orientations, both approach and avoid, positively predict these engagement dimensions, while performance goal orientations do not significantly affect engagement. The findings highlight the importance of fostering mastery goals to enhance student engagement and improve language learning outcomes. The implications of this study suggest that educators should create a supportive learning environment that emphasizes mastery goals, thereby facilitating deeper engagement and better academic performance among EFL learners.

Devices that are connected on the internet and are exchanging data with internet brokers to receive requested services are a significant part of internet users. In order to manage and account well to IoT requests maximum processing power, speed in data transfer, and proper combining services in minimum time is needed. Since there is a large number of IoT devices which have a large scale, we have to use the abilities and services of cloud environment in order to solve its problems. So, service composition in a cloud environment is paid attention recently. We want to suggest an algorithm with the approach in this research, of improving factors propounded in the service composition problem like the number of clouds involved in service, number of services examined before responding to users’ requests SP and load balance between clouds. In this paper, the factor, similarity measure, is introduced and used to find the best cloud and composition plan in each phase which in addition to improving QoS metrics propounded in previous papers, it caused improving QoS metric of load balancing between clouds, prevention of formation of a bottleneck in clouds entrance. These changes, besides the proper load balancing, have avoided the clouds stop working suddenly and satisfied the users by presenting the services faster.