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This paper describes a cryptocurrency to reward students for their studies. The currency bears the apt name Smileycoin or SMLY and is used within the tutor-web online learning platform. In order to make the SMLY attractive to students several approaches have been used, including support from companies whose services can be purchased for SMLY. The paper describes the use of the SMLY as a reward mechanism in a large undergraduate calculus course, including student adoption, student use of SMLY, coinbase use for education in low-income areas, and response to abuse.

This document reports progress and conclusions on deliverable D7.3, Tutor-web FarFish initial setup, in project FarFish. The report describes the launch of the FarFish part of www.tutor-web.net making available existing teaching material directed to the target audience. The material is made available in the tutor-web as a course, under the heading "Methods and techniques for data-limited fisheries." This course consists of multiple tutorials, providing material and drills at various stages of development, on topics from prerequisite mathematics, statistics and programming, through introductory fish population dynamics to methods for data-limited fisheries. ; This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 727891.

PurposeThis paper aims to derive and verify a collaborative framework that specifies the role of different parties in contemporary logistics setups.Design/methodology/approachTo prepare this paper, a study of the logistics literature has been conducted together with several case studies. The empirical evidence has been collected in Europe as well as in the USA. Different aspects of collaboration between organizations in logistics setups have been studied where the services and the activities have been analyzed to understand the characteristics of the role of third‐party service providers.FindingsThe results from the work cluster the different third‐party service providers in three different groups: carriers, logistics service providers (LSPs) and logistics service intermediaries (LSIs). All of these parties have different roles and provide various services in outsourced logistics setups. A collaborative logistics management (CLM) model has been derived that embraces the role of the different parties, the information and material flows between them, the interface attributes and the information systems architecture. In this paper, a focus is mainly on the part of the model that reveals the role of the third‐party service providers.Practical implicationsThe practical implications of the work has its foundation in that activities, performed by two parties, can be adapted to each other so that their combined efficiency is improved. The CLM model can be applied when designing and negotiating third‐party services for specific logistics assignments.Originality/valueThe paper offers a model of logistics collaboration between the different parties in contemporary, outsourced logistics setups.

Paper presented at the 4th Strathmore International Mathematics Conference (SIMC 2017), 19 - 23 June 2017, Strathmore University, Nairobi, Kenya. ; The reflections reported in this paper involve an intervention using a tablet as a tool for enhancing teaching and learning of mathematics in a prison education centre in Kenya. The tablet is connected wirelessly to a server running the tutor-web mathematics software, installed at the Centre. The first duty of prison staff-teachers is security and then teaching. With these priorities, the teachers sometimes do not attend to their mathematics lessons for hours or days and hence inmate-students miss continued mathematical instructions. To address the challenge, the use of tablet was implemented as a tool to facilitate continued instructions times and subsequent learning. The participants were Form 1 students in the secondary section of the Centre. Findings show that the use of technology did not only facilitate continued learning, but also changed the inmate-students' negative attitude towards mathematics, motivated them and improved their mathematics performance. Challenges of using the tablet as a tool were noted. In general, the project continues to facilitate achievement of the mission of Kenya Prison Service (KPS) of containment and rehabilitation of offenders, responsive administration of justice, social reintegration and community protection. Future improvements on the project have been suggested. The findings inform the government's implementation of digital learning of mathematics which is key for the development of the country. ; Kiriri Women's University of Science and Technology Nairobi, Kenya University of Iceland, Iceland gstefans@gmail.com; Naivasha Maximum Security Prison Inmates Education Centre, Naivasha, Kenya

Publisher's version (útgefin grein) ; Icelandic waters are very productive and the fisheries are economically important for the Icelandic nation. The importance of the fisheries has led to progressive fisheries management and extensive monitoring of the ecosystem. However, fisheries management is mainly built on single species stock assessment models, and multi-species or ecological models are essential for building capacity around ecosystem-based fisheries management. This paper describes the first end-to-end model for the Icelandic waters using the Atlantis modeling framework. The modeled area is 1,600,000 km2, and covers the area from Greenland through Icelandic waters to the Faroe Islands. The ocean area was divided into 51 spatial boxes, each with multiple vertical layers. There were 52 functional groups in the model: 20 fish groups (8 at a species level), 5 groups of mammals, 1 seabird group, 16 invertebrates, 5 primary producers, 2 bacteria and 3 detritus groups. The reliability of the model was evaluated using a skill assessment and a sensitivity analysis was conducted to understand the dynamics of the system. The sensitivity study revealed that saithe, redfish and tooth whales had the greatest effect on other groups in the system. The skill assessment showed that the model was able to replicate time-series of biomass and landings for the most important commercial groups and that modeling of the recruitment processes was important for some of the groups. This model now provides a solid basis for evaluating alternative ecosystem and fisheries management scenarios, and should produce reliable results for the most important commercial groups. ; This study has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 613571 for the project MareFrame and from the European Commission's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 634495 for the project Science, Technology, and Society Initiative to minimize Unwanted Catches in European Fisheries (Minouw). Funding from the Icelandic Research Fund (rannis, No. 152039051) is also acknowledged. ; Peer Reviewed