The present study was an attempt to investigate the comparative effect of teacher-, peer-, andself-assessment on EFL learners’ vocabulary achievement. Accordingly, 90 female Englishlanguage learners selected out of an initial 140 intermediate EFL learners based on theirperformance on a sample piloted PET took part in the study. All three groups were taught bythe same teacher using the same cour...

introducrion: self and peer a ssessment provides important information about the individual’s performance and behavior in all aspects of their professional environment work. the aim of this study is to evaluate the professional behavior and performance in medical students in the form of team based assessment. methods: in a cross-sectional study, 100 medical students in the 7th year of education...

Motivation is an important issue to consider when designing learning activities, including mobile and assessment. While previous research provides evidence for the motivational impact of learning, not many pedagogical frameworks exist design mobile-assisted The current study grounded in Self-Determination Theory motivation proposes a framework formative assessment, aiming at enhancing student m...

this paper presents a comprehensive robust distributed intelligent control for optimum self-healing activities in smart distribution systems considering the uncertainty in loads. the presented agent based framework obviates the requirements for a central control method and improves the reliability of the self-healing mechanism. agents possess three characteristics including local views, decentr...

This article proposes that there are strong theoretical and practical connections between student engagement and student self-assessment. The idea is that deeper levels of student self-assessment are critical aspects of pedagogical processes aiming to encourage students to be substantively engaged in their classroom learning experiences. This argument was developed in the Fair Go Project, actio...

During our digital social life, we share terabytes of information that can potentially reveal private facts and personality traits to unexpected strangers. Despite the research efforts aiming at providing efficient solutions for the anonymization of huge databases (including networked data), in online social networks the most powerful privacy protection “weapons” are the users themselves. Howev...