We study how peers impact worker productivity growth among salespeople in the cosmetics department of a department store. We first exploit a shift assignment policy that creates exogenous variation in salespersons’ peers each week to identify and quantify sources of worker learning. We find that peer-based learning is more important than learning-by-doing for individuals, and find no evidence o...

Peer assessment is a special form of collaborative learning, in which peer students learn through assessing others‟ work. Recently, the design of collaboration scripts is a new focus area within the CSCL community. In this paper, we present a method based on open e-learning standards to script peer assessment processes. A standard-compatible tool can help users to script various forms of peer a...

the present study intended to look into and compare the possible effects of competitive team-based learning (ctbl) with learning together (lt) or cooperative group-based learning (cgbl) – the most popular method of cooperative learning (cl) -- on oral performance of iranian efl intermediate students. after administering the oral interview, this researcher selected a group of 40 almost homogeneo...

Peer to peer lending is famous for easy and fast loans from complicated traditional institutions. Therefore, big data machine learning are needed credit risk analysis, especially potential defaulters. However, imbalance high computation have a terrible effect on prediction performance. This paper proposes stacking ensemble with features selection based embedded techniques (gradient boosted tree...

This  paper  describes  how  English  as  a  Foreign  Language  (EFL)  teachers  can  bring  reliable, valid, user-friendly assessment into their classrooms, and thus improve the quality of learning that  occurs  there.  Based  on  the  experience  of  the  author  as  a  an  EFL  teacher  and  teacher-trainer, it is suggested that the promotion and development of autonomy, intrinsic motivation...

Adaptive organisation-centred multi-agent systems can dynamically modify their organisational components to better accomplish their goals. Our research line proposes an abstract distributed architecture (2-LAMA) to endow an organisation with adaptation capabilities. This paper focuses on regulationadaptation based on a machine learning approach, in which adaptation is learned by applying a tail...

Peer-to-peer structures are becoming more and more popular and an exhilarating new class of groundbreaking, internet-based data management systems. Query load balancing is an important problem for the efficient operation of unstructured P2P networks. The key issue is to identify overloaded peers and reassign their loads to others. This paper proposes a novel mobile agent based two-way load bala...