53,319 research outputs found

    A collective intelligence approach for building student's trustworthiness profile in online learning

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    (c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.Information and communication technologies have been widely adopted in most of educational institutions to support e-Learning through different learning methodologies such as computer supported collaborative learning, which has become one of the most influencing learning paradigms. In this context, e-Learning stakeholders, are increasingly demanding new requirements, among them, information security is considered as a critical factor involved in on-line collaborative processes. Information security determines the accurate development of learning activities, especially when a group of students carries out on-line assessment, which conducts to grades or certificates, in these cases, IS is an essential issue that has to be considered. To date, even most advances security technological solutions have drawbacks that impede the development of overall security e-Learning frameworks. For this reason, this paper suggests enhancing technological security models with functional approaches, namely, we propose a functional security model based on trustworthiness and collective intelligence. Both of these topics are closely related to on-line collaborative learning and on-line assessment models. Therefore, the main goal of this paper is to discover how security can be enhanced with trustworthiness in an on-line collaborative learning scenario through the study of the collective intelligence processes that occur on on-line assessment activities. To this end, a peer-to-peer public student's profile model, based on trustworthiness is proposed, and the main collective intelligence processes involved in the collaborative on-line assessments activities, are presented.Peer ReviewedPostprint (author's final draft

    A review on massive e-learning (MOOC) design, delivery and assessment

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    MOOCs or Massive Online Open Courses based on Open Educational Resources (OER) might be one of the most versatile ways to offer access to quality education, especially for those residing in far or disadvantaged areas. This article analyzes the state of the art on MOOCs, exploring open research questions and setting interesting topics and goals for further research. Finally, it proposes a framework that includes the use of software agents with the aim to improve and personalize management, delivery, efficiency and evaluation of massive online courses on an individual level basis.Peer ReviewedPostprint (author's final draft

    Breakthroughs in Shared Measurement and Social Impact

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    A surprising new breakthrough is emerging in the social sector: A handful of innovative organizations have developed web-based systems for reporting the performance, measuring the outcomes, and coordinating the efforts of hundreds or even thousands of social enterprises within a field. These nascent efforts carry implications well beyond performance measurement, foreshadowing the possibility of profound changes in the vision and effectiveness of the entire nonprofit sector. This paper, based on six months of interviews and research by FSG Social Impact Advisors, examines twenty efforts to develop shared approaches to performance, outcome, or impact measurement across multiple organizations. The accompanying appendices include a short description of each system and four more in-depth case studies

    Up and down the number line: modelling collaboration in contrasting school and home environments

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    This paper is concerned with user modelling issues such as adaptive educational environments, adaptive information retrieval, and support for collaboration. The HomeWork project is examining the use of learner modelling strategies within both school and home environments for young children aged 5 – 7 years. The learning experience within the home context can vary considerably from school especially for very young learners, and this project focuses on the use of modelling which can take into account the informality and potentially contrasting learning styles experienced within the home and school

    Supporting teachers in collaborative student modeling: a framework and an implementation

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    Collaborative student modeling in adaptive learning environments allows the learners to inspect and modify their own student models. It is often considered as a collaboration between students and the system to promote learners’ reflection and to collaboratively assess the course. When adaptive learning environments are used in the classroom, teachers act as a guide through the learning process. Thus, they need to monitor students’ interactions in order to understand and evaluate their activities. Although, the knowledge gained through this monitorization can be extremely useful to student modeling, collaboration between teachers and the system to achieve this goal has not been considered in the literature. In this paper we present a framework to support teachers in this task. In order to prove the usefulness of this framework we have implemented and evaluated it in an adaptive web-based educational system called PDinamet.Postprint (author's final draft

    Adolescents’ psychological functioning and unintentional injuries: motor vehicles and sports accidents

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    Adolescence represents a crucial period for psychological development. Adolescents have been shown more prone to injuries than adults have and they are frequently involved in motor vehicle and sports accident. Although adolescents’ injuries have been widely investigated in international literature, victims’ psychological profiles associated with different types of accidents have been scarcely addressed. The present study aimed to identify adolescents’ psychological functioning associated with different types of injuries among a population of Italian adolescents who visited an emergency department. Moreover, the present paper intended to compare psychological profiles of adolescents who have had road and sports accidents. The sample was composed by N= 60 adolescents who attended an emergency department in central Italy. Subjects completed self-report measures assessing emotional and behavioural functioning and the use of defence mechanisms. Both road and sport accidents were associated with adolescents’ maladaptive psychological functioning. Adolescents involved in motor vehicle accidents showed a problematic emotional and behavioural functioning in general and a massive use of defense strategies; their peers who had sport accidents also show various difficulties in internalizing and externalizing functioning. Several adolescents’ emotional-behavioural variables are associated with injuries rates. Risk taking behaviours and other victims’ psychological profiles should be considered to have an exhaustive picture of individual factors that can impair a healthy development
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