Expected Outcomes. Each Faculty member as a result of the five- year TEC process will: • Gather and review feedback from student evaluations in a minimum of 3 different classes during the five-year cycle. • Gather data on courses and/or program to determine trends and opportunities to improve student success. • Gather and review feedback from cohort member classroom observations. Each member of the TEC will visit the classroom at least once within the 5 year cycle and provide written and oral feedback to the TEC member. • Complete a self-evaluation based upon student evaluations, data trends, peer feedback and learning insights to fulfill the professional development goals. This is done at the conclusion of the five-year cycle. • Meet with their division xxxx at the conclusion of the five-year cycle to review their completed self-evaluation based upon peer feedback, data, student evaluations, and professional development goals; and discuss the administrative evaluation which must include at least one classroom observation.
Expected Outcomes. The educational goals and objectives for improving student achievement, including how much academic improvement students are expected to show each year, how student progress and performance will be evaluated and the specific results to be attained, as described in Section 5a of the application: Student Performance, Assessment and Evaluation.
Expected Outcomes. 4.1 Before or on the Due Date, the Contractor shall furnish to DRC the deliverables (the “Deliverables”) as listed and explained in the Terms of Reference attached to this Contract as Annex B.
Expected Outcomes. Strengthened institutional framework to ensure legal protection and care for the most vulnerable group of migrants, namely unaccompanied children Well-functioning asylum system in place, enabling asylum- seekers to bring forward their claim for international protection, have their claim processed in due time and be offered accommodation during processing of their case, or to return voluntary to their country of origin Programme Operator: European and Development Programmes Division within the Ministry of Interior and Administrative Reconstruction Donor programme partner: The Norwegian Directorate of Immigration (UDI)
Expected Outcomes. ScalaLife to provide EGI-InSPIRE with active or potential research communities that could become connected to EGI user communities working in the same discipline (the connection points will include the User Community Board at the user level). Information will feed into the VRC analysis. • EGI-InSPIRE will provide the necessary support towards defining the potential benefits and related mechanisms around the VRC model. • EGI-InSPIRE will provide the necessary support to interface the LSGC VRC with the ScalaLife Competence Center. • ScalaLife will make available to EGI-InSPIRE training material, application details, documentation and presentations, either directly via ScalaLife’s web portal or by depositing it in the EGI Training Marketplace or in the EGI Application Database provided by EGI- InSPIRE. Similarly, ScalaLife will feature relevant EGI training material in their Competence Center. • Prioritised requirements from ScalaLife submitted on a periodic cycle to be agreed. • All actions will be reported as part of the standard formal EGI-InSPIRE and/or ScalaLife deliverables. The other party will be invited to contribute to these reports.
Expected Outcomes. Live broadcasting over IP has been a challenge for a while. It is hard to have reliability, (bandwidth) cost and latency meet in the middle. The experiments conceptually focus on both sides of the news delivery process: 🡺 Ingest of content: where traditionally ultra-low latency beats cost 🡺 Broadcast content: where cost beats latency Upon the traditional chain of content delivery, we want to experiment with a complete media analytics chain. 🡺 Technical outcome • Experiment if FLAME can offer a possible solution in the IP latency debate. • Better understanding of media services and how they add to the screen to screen delays. • Low latency on multi-cam live stream ▪ Instigate the debate on enabling services with a streaming protocol (UDP, RTP, WebRTC, etc.) 🡺 Business outcome • Validate the use of media analytic services in the edge. • Better control of media transport based on accurate cost prediction. • Lower production cost: from journalist to editorial room. • Lower broadcast cost: from editorial room to public. 4 PERSONALIZED MEDIA MOBILITY This experiment focuses on the Personalisation, Interaction, Mobility and Localisation (PIML) aspects of the media distribution in the Smart City. In particular, we are building a platform and experiments to evaluate how media service providers can serve users on the go within the Smart City taking benefit of some key FLAME platform services like: • Intelligent service endpoint management • Dynamic service routing to direct traffic to the most appropriate local service instance • Reduction of network traffic through localizing traffic wherever possible, also addressing the aforementioned latency reduction. The PMM experiment aims to validate how FLAME can allow to go beyond the traditional content delivery network (CDN) architectures currently available for media distribution over IP, and test a PMM service over the FLAME platform deployed in Barcelona (Spain) to evaluate which surrogate functions for media distribution can be better used to serve various endpoints in the FLAME- empowered Smart City. In our PMM experiment, end-users can get access to their personal contents and interact with the origin media server from anywhere. On top of the FLAME platform we will manage to have media distribution service chains automatically deployed and adjusted while users move in the Smart City and reach areas covered by FLAME network access points.
Expected Outcomes. The experiment is designed to primarily provide results on technical and business feasibility of the PMM scenarios based on the “Follow-Me media”. Two viewpoints are to be considered: The Media/VoD service provider perspective, e.g. the role and benefits of a broadcaster using the FLAME infrastructure to serve their Smart City customers The Media/VoD technology provider, e.g. a solution provider like Nextworks who intends to validate a media product offering in an experimental facility like the one built through FLAME. The expected outcomes from the experiment in the City of Barcelona can be grouped in two major categories: Technical outcomes, to achieve A better understanding of the mechanisms to optimize bandwidth and resources among the core and edge parts of the city infrastructure The assessment of the feasibility of personalised media streaming services in the software defined infrastructures An evaluation of the benefits of the FLAME benefit through FLIPS routing among surrogate functions with respect to traditional Content Distribution networks Business feasibility outcomes, to evaluate The user acceptance and interest in such PMM service, through the trial phases in public areas. The applicability of a PMM service model to Smart Cities, e.g. to stimulate new offers for value-added touristic services by the municipalities or for enhanced user information streamed via various devices and access points (e.g. digital signage totems) Further analyses of the collected results will be elaborated in D4.4 “Insights from Broadcast, Gaming and Transmedia Experiments”.
Expected Outcomes. With the commitment of City Year to deliver whole school supports and targeted student interventions (as noted in section 4), and the commitment of District and City Year towards shared planning and ensuring adherence to operating conditions that will maximize the ability of City Year to deliver its service to schools (as noted in sections 5-7), City Year anticipates that it will be able to achieve the following results:
Expected Outcomes. The consultancy’s outcomes must be consistent with the specific objectives of this TOR as detailed below:
Expected Outcomes. During the second year and part of the third year of the eViP project all the partners of the consortium will use the central EVDB-database and the instruments concerning curricular integration, compiling their mutual experiences with the repurposing of VPs. At the moment simple reporting of student responses and the possibility to download these responses in Excel format is available for the design instruments. In the future more elaborate reporting (e.g. on multiple VPs) can be expected. To give an impression how the simple reporting of student responses look like, some screenshots of the response of 100 Polish students who used the case ‘71-letnia kobieta z bólami głowy’ (A 71 year old patient with headache) are shown below:
