This work presents a novel method for modeling collaborative learning as multi-issue agent negotiation using fuzzy constraints. Agent negotiation is an iterative process, through which, the proposed method aggregates student marks to reduce personal bias. In the framework, students define individual fuzzy membership functions based on their evaluation concepts and agents facilitate student-stud...

This paper reports on an analyis of data from a novel Peer Instruction application, named DALITE. The Peer Instruction paradigm is well suited to take advantage of peer-input in web-based learning environments. DALITE implements an asynchronous instantiation of peer instruction: after submitting their answer to a multiple-choice question, students are asked to write a rationale for their choice...

We report on our experiences with a project-based robotics class in which students designed a gardening multi-robot system, able to autonomously take care of tomato plants. We study the efficiency of different modes of interaction within the class and observe the emergence of peer-to-peer learning that has substantially contributed to the perceived learning experience. Results are based on an a...

BACKGROUND Peer learning is an educational process wherein someone of the same age or level of experience level interacts with other students interested in the same topic. There is limited evidence specifically focusing on the practical use of peer learning in Iran. The aim of this study was to explore nursing students' experiences of peer learning in clinical practice. MATERIALS AND METHODS ...

This paper describes a qualitative study which took place over a two year period with academic staff engaged on a blended Masters programme delivered with the learning environment based around problem-based learning. At the pedagogical level, transformative practice has the potential to engage students as critical thinkers, by encouraging them to be both participatory and active. By exploring t...

With the development of electricity market, peer-to-peer (P2P) transaction plays an important role in promoting local consumption renewable energy and arousing enthusiasm prosumers. However, due to diversification prosumers, confidentiality information interaction between there are increasing challenges for traditional model-based optimisation methods both P2P modelling model solution accuracy....

Intelligent fault diagnosis for a single wind turbine is hindered by the lack of sufficient useful data, while multi-turbines have various faults, resulting in complex distributions. Collaborative intelligence can better solve these problems. Therefore, peer-to-peer network constructed with one node corresponding to cluster. Each equivalent and functional replicable new federated transfer learn...

Many studies have proposed a peer-to-peer energy market where the prosumers’ actions, including consumption, charge and discharge schedule of storage systems, transactions in local markets, are controlled by central operator. In this paper, actions not an operator, prosumers freely participate to trade with other prosumers. We designed modeled management algorithm that uses community for who co...

Learning analytics is focused on the educational challenge of optimizing opportunities for meaningful learning. Assessment deeply influences learning, but at the same time data about assessment are rarely considered and utilized by learning analytics. Current approaches to analysis and reasoning about peerassessment lack rigor and appropriate measures of reliability assessment. Our paper addres...