Application of a virtual scientific experiment model in different educational contexts

E-learning practice is continuously using experimentation in order to enhance the basic information transfer model where knowledge is passed from the system/ tutors to the students. Boosting student productivity through on-line experimentation is not simple since many organizational, educational and technological issues need to be dealt with. This work describes the application of a Learning Model for Virtual Scientific Experiments (VSEs) in two different scenarios: Information and Communication Technologies and Physics. As part of the first, a VSE for Wireless Sensor Networks was specified and deployed while the second involved the specification and design of a collaborative VSE for physics experiments. Preliminary implementation and deployment results are also discussed

Use What You Have: Video Retrieval Using Representations From Collaborative Experts

The rapid growth of video on the internet has made searching for video content using natural language queries a significant challenge. Human-generated queries for video datasets `in the wild' vary a lot in terms of degree of specificity, with some queries describing specific details such as the names of famous identities, content from speech, or text available on the screen. Our goal is to condense the multi-modal, extremely high dimensional information from videos into a single, compact video representation for the task of video retrieval using free-form text queries, where the degree of specificity is open-ended. For this we exploit existing knowledge in the form of pre-trained semantic embeddings which include 'general' features such as motion, appearance, and scene features from visual content. We also explore the use of more 'specific' cues from ASR and OCR which are intermittently available for videos and find that these signals remain challenging to use effectively for retrieval. We propose a collaborative experts model to aggregate information from these different pre-trained experts and assess our approach empirically on five retrieval benchmarks: MSR-VTT, LSMDC, MSVD, DiDeMo, and ActivityNet. Code and data can be found at www.robots.ox.ac.uk/~vgg/research/collaborative-experts/. This paper contains a correction to results reported in the previous version.Comment: This update contains a correction to previously reported result

TransNets: Learning to Transform for Recommendation

Recently, deep learning methods have been shown to improve the performance of recommender systems over traditional methods, especially when review text is available. For example, a recent model, DeepCoNN, uses neural nets to learn one latent representation for the text of all reviews written by a target user, and a second latent representation for the text of all reviews for a target item, and then combines these latent representations to obtain state-of-the-art performance on recommendation tasks. We show that (unsurprisingly) much of the predictive value of review text comes from reviews of the target user for the target item. We then introduce a way in which this information can be used in recommendation, even when the target user's review for the target item is not available. Our model, called TransNets, extends the DeepCoNN model by introducing an additional latent layer representing the target user-target item pair. We then regularize this layer, at training time, to be similar to another latent representation of the target user's review of the target item. We show that TransNets and extensions of it improve substantially over the previous state-of-the-art.Comment: Accepted for publication in the 11th ACM Conference on Recommender Systems (RecSys 2017

Ability as an additional support need: Scotland’s inclusive approach to gifted education

No abstract available

Experience Management for Very Small Entities: Improving the Copy-paste Model

International audienceThe emerging ISO/IEC 29110 standard Lifecycle profiles for Very Small Entities is developing a "Generic" profile group applicable to a vast majority of very small entities (enterprises, organizations, departments or projects) having up to 25 people, that do not develop critical software and have typical situational factors. The developers of the standard, ISO/IEC JCT1/SC7 Working Group 24, recommended the use of pilot projects as a mean to trial the adoption of the new International standard in small organizations. Accordingly an ISO/IEC 29110 pilot project has been established between the Software Engineering group of Brest University and a 14-person company with the aim of establishing an engineering discipline for a new web-based project. As the project proceeded, it became apparent that the current set of ISO/IEC 29110 documents describing a first profile, the Basic profile, was not sufficient to sustain this VSE in its SE activities. What was needed was to organize the knowledge contained in them. The results of this pilot study are providing VSEs with a simple Experience Management system which is compatible with the emerging ISO/IEC 29110 standard. It is founded on two principles: 1) keeping the Content Management System-based Experience Management infrastructure as simple as possible, structured with the decomposition of the ISO/IEC 29110 processes; and 2) the requirement of Experience Management dedicated processes, taken from D. Schon's work on the reflection-on-action approach to learning

Community-oriented Service-Learning: A university experience for preventing cannabis abuse in vulnerable adolescents and young people

Learning integrated into community action promotes a more active citizenry. More specifically, service-learning (S-L) embedded into higher education can represent a big challenge yet also an opportunity to involve the whole university community in social and community development. This paper addresses this teaching method by identifiying and reviewing the different components that define S-L, that is: civic engagement, social responsibility, civic education, partnership, and reflection. The ways in which S-L can be introduced into the curriculum are explained, through detailing experiences already carried out in the teaching of psychology. Current available data on its efficacy in university education are analyzed. The focus now turns to a university experience involving Community Psychology students across Bachelor’s and Master’s degrees. During this experience, students on both programmes make their final-year projects to develop a prevention resource aimed at young people at high risk of problematic cannabis use. Ultimately, this program not only teaches students the principles of Community Psychology but also give them an opportunity to put them into practice

Towards Experience Management for Very Small Entities

International audienceThe ISO/IEC 29110 standard: Lifecycle profiles for Very Small Entities, provides several Process Reference Models applicable to the vast majority of very small entities (defined by the ISO as "an entity (enterprise, organization, department or project) having up to 25 people") which do not develop critical software and share typical situational factors. An ISO/IEC 29110 pilot project has been established between the Software Engineering group at Brest University and a 14-employee company with the aim of establishing an engineering discipline for a new Web-based project. As the project proceeded, it became apparent that setting up the ISO/IEC 29110 standard has to be performed in two steps: 1) provide self-training materials to the VSE employees on this new standard; and 2) support good practices with a simple Experience Management system which is compatible with the ISO/IEC 29110 standard. This paper reports the lessons learned about training from the pilot project, and addresses the research issues associated with the Experience Management system

Algorithms for advance bandwidth reservation in media production networks

Media production generally requires many geographically distributed actors (e.g., production houses, broadcasters, advertisers) to exchange huge amounts of raw video and audio data. Traditional distribution techniques, such as dedicated point-to-point optical links, are highly inefficient in terms of installation time and cost. To improve efficiency, shared media production networks that connect all involved actors over a large geographical area, are currently being deployed. The traffic in such networks is often predictable, as the timing and bandwidth requirements of data transfers are generally known hours or even days in advance. As such, the use of advance bandwidth reservation (AR) can greatly increase resource utilization and cost efficiency. In this paper, we propose an Integer Linear Programming formulation of the bandwidth scheduling problem, which takes into account the specific characteristics of media production networks, is presented. Two novel optimization algorithms based on this model are thoroughly evaluated and compared by means of in-depth simulation results

Virtual student engagement through the admissions process

Students pursing higher education are inundated with information meant to recruit them to the college or university. Institutions compete for a prospective student’s attention through multiple mediums and platforms (Hagedorn, 2006). It is to the institutions benefit to continue to update recruitment practices to maintain a competitive advantage. The university admissions office central role is to recruit students and implement recruitment strategies. The COVID-19 global pandemic forced admissions offices to pivot efforts into increasing or relying solely on virtual student engagement to meet safety requirements. The transition highlighted the need to fill gaps in virtual student engagement initiatives and knowledge. The focus of this research examines what virtual student engagement are universities leveraging and what virtual student engagement best practices are used to assist prospective students through the admissions process

Importance of debriefing in high-fidelity simulations

Vodena razprava (angl. debriefing) je najpomembnejši del učenja s simulacijami visoke stopnje posnemanja resničnosti, v kateri mentor pozove učeče se, da kritično ocenijo znanje in spretnosti, ki so jih pokazali med izvedbo scenarija. Kljub številnim raziskavam, ki proučujejo izobraževanje s simulacijami, je področje vodene razprave še razmeroma slabo opredeljeno. V prispevku so o sodobni literaturi povzete bistvene značilnosti vodene razprave, njene faze, tehnike in metode. Poudarjena je vloga mentorja, saj je učinkovitost vodene razrave v veliki meri odvisna ravno od njegove usposobljenosti. Podane so smernice, s katerimi mentor lahko oceni lastno uspešnost pri vodenju razprave. Prav tako je izpostavljen pomen pri kontinuiranem izobraževanju v kliničnem okolju, saj vodena razprava omogoča oceno uspešnosti izvedbe klinične obravnave in možnosti postavljanja novih strategij s ciljem doseči večjo usposobljenost zdravstvenega tima. Čeprav je vodena razprava temelj izobraževanja s simulacijami visoke stopnje posnemanja resničnosti, je tudi pomemben način učenja v kliničnem okolju. Mnogi vidiki vodene razprave so še vedno slabo raziskani, zato bo temu segmentu v prihodnosti potrebno nameniti večjo pozornost