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检索条件"任意字段=3rd International Conference on Smart Learning Ecosystems and Regional Development, SLERD 2018"

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3rd international conference on smart learning ecosystems and regional development, slerd 2018

3rd International Conference on Smart Learning Ecosystems an...

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3rd international conference on smart learning ecosystems and regional development, slerd 2018

ISBN: (纸本)9783319920214

The proceedings contain 16 papers. The special focus in this conference is on smart learning ecosystems and regional development. The topics include: When smartness of a Participatory learning Ecosystem Should Not Be Interpreted as Mediation by Technology: Case-Study of Golbaf Town, Iran;smart Schools with K9 Student Opinions: The Aveiro José Estêvão Case;Unravelling the Role of ICT in regional Innovation Networks: A Case Study of the Music Festival ‘Bons Sons’;sharing Community Data: Platform Collectivism for Managing Water Quality;tiles-Reflection: Designing for Reflective learning and Change Behaviour in the smart City;people-Centered development of a smart learning Ecosystem of Adaptive Robots;a System of Innovation to Activate Practices on Open Data: The Open4Citizens Project;urban Innovation Through Co-design Scenarios: Lessons from Palermo;informing Informal Caregivers About Dementia Through an Experience-Based Virtual Reality Game;ReadME - Generating Personalized Feedback for Essay Writing Using the ReaderBench Framework;what Is the Cat Doing? Supporting Adults in Using Interactive E-Books for Dialogic Reading;the Robbers and the Others - A Serious Game Using Natural Language Processing;identifying Students Struggling in Courses by Analyzing Exam Grades, Self-reported Measures and Study Activities;automated Prediction of Student Participation in Collaborative Dialogs Using Time Series Analyses.

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The Interplay of Data, Technology, Place and People for smart learning: Proceedings of the 3rd international conference on smart learning ecosystems ...

引用

2018年

作者： Hendrik Ole Knoche Elvira Popescu Antonio Cartelli

ISBN: (纸本)9783319920214

This book gathers contributions to the 3rd international conference on smart learning ecosystems and regional developments (slerd 2018), held at Aalborg University, Denmark on 2325 May 2018. What characterizes smart learning ecosystems? What is their role in city and regional development and innovation? How can we promote citizen engagement in smart learning ecosystems? These are some of the questions addressed at slerd 2018 and documented in these proceedings, which include a diverse range of papers intended to help understand, conceive, and promote innovative human-centric design and development methods, education/training practices, informal social learning, and citizen-driven policies. The papers elaborate on the notion of smart learning ecosystems, assess the relation of smart learning ecosystems with their physical surroundings, and identify new resources for smart learning. slerd 2018 contributes to foster the social innovation sectors, ICT and economic development and deployment strategies, as well as new policies for smarter, more proactive citizens. As such, these proceedings are relevant for researchers and policymakers alike.

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Is Maximum Entropy Deep Inverse Reinforcement learning Suitable for Pedestrian Path Prediction? 3rd

Is Maximum Entropy Deep Inverse Reinforcement Learning Suita...

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3rd international conference on Cognitive Mobility, CogMob 2024

作者： Dietl, Laura Facchi, Christian C-ECOS Technische Hochschule Ingolstadt Ingolstadt Germany Technische Hochschule Ingolstadt Ingolstadt Germany

ISBN: (纸本)9783031817984

Predicting pedestrian trajectories plays a critical role within the context of Vehicle-to-Everything (V2X) communication technology. The main value lies in the enhancement of traffic safety and efficiency to ensure smart Mobility. By accurately predicting future paths, vehicle can anticipate potential collisions and decrease the risk of accidents and increase pedestrian awareness. However, the prediction of pedestrian trajectories is multifaceted, caused by the complexity and unpredictability of human behaviour. Various factors contribute to the path a pedestrian follows, making it a challenging task to create precise prediction. This paper evaluates the suitability of the Maximum Entropy Deep Inverse Reinforcement learning (MEDIRL) methodology for predicting multi-modal trajectories using the Stanford Drone Dataset (SDD). The environments range from infrastructure that strongly guides pedestrian behavior up to unstructured environments. The algorithm was implemented for the paper, along with the appropriate preprocessing steps. The findings indicate that the trained model is capable of producing multi-modal predictions and forecasting short-term trajectories of pedestrians. However, the accuracy of the model’s predictions decreases in scenarios where pedestrians have greater freedom in their path choices. Based on these results the usability of MEDIRL for pedestrian path prediction has been evaluated. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Deep reinforcement learning

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Escape from Dungeon-Modeling User Intentions with Natural Language Processing Techniques 5th

Escape from Dungeon-Modeling User Intentions with Natural La...

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5th international conference on smart learning ecosystems and regional development (slerd)

作者： Toncu, Stefan Toma, Irina Dascalu, Mihai Trausan-Matu, Stefan Univ Politehn Bucuresti 313 Splaiul Independentei Bucharest 060042 Romania Acad Romanian Scientists Str Ilfov 3 Bucharest 050044 Romania

ISBN: (纸本)9789811573835;9789811573828

Educational games are a powerful solution for pedagogical problems, both from students' and teachers' points of view. Students may experience the inability to focus on lectures in a traditional learning environment, as they cannot understand the lecture materials, are not motivated to study, or the subjects are not challenging enough. Research on learning strategies shows that students are more likely to remain focused and engaged in a smart learning environment that makes use of gamification, instead of a classical classroom scenario, where teachers present formal lectures. Our game, Escape from Dungeon, falls in the category of serious games for problem solving that integrate natural language processing (NLP) techniques adopted to model user intentions. We focused on ensuring appealing graphics and ease of interaction, while relying on novel technologies. The main character of the game is controlled through vocal commands that are interpreted using NLP tools. The game was tested by ten users throughout a pilot test. Users considered the game innovative and entertaining. However, users suggested additional game scenes for an extended gameplay, as well as more actions and intents to be covered within the interaction with the character.

关键词： Serious games smart learning environment Natural language processing Voice recognition Virtual reality

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A Quantitative Analysis of Romanian Writers' Demography Based on the General Dictionary of Romanian Literature 5th

A Quantitative Analysis of Romanian Writers' Demography Base...

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5th international conference on smart learning ecosystems and regional development (slerd)

作者： Neagu, Laurentiu-Marian Toma, Irina Dascalu, Mihai Trausan-Matu, Stefan Hanganu, Laurentiu Simion, Eugen Univ Politehn Bucuresti 313 Splaiul Independentei Bucharest 060042 Romania Acad Romanian Scientists Str Ilfov 3 Bucharest 050044 Romania Romanian Acad G Calinescu Inst Literary Hist & Theory Calea 13 Septembrie Bucharest Romania

ISBN: (纸本)9789811573835;9789811573828

Literature is an essential part of a nation's cultural identity, and each member of the community should be acquainted with the names and significant works of its most representative writers. In schools, literature is taught in traditional teacher-centered methods, using written literary studies or essays that students often memorize and reproduce. With the development of online environments, there is a need to enhance the teaching process, to shift to e-learning environments by providing online materials, statistical studies, and methods for evaluating the acquired knowledge. For Romanian literature, the General Dictionary of the Romanian Literature (DGLR) is a comprehensive work which includes information on authors, publications, institutions, and literary movements. The work is available in 7 written volumes and through the INTELLIT Web platform will be available online, to the general public, as a learning ecosystem. Besides the original information from DGLR, the platform will include statistical information extracted from the DGLR corpus, such as writers' demographic information and places visited by important authors with modern visualizations. The purpose of this study is to provide the general audience visual overviews and snapshots of the Romanian literature as a whole.

关键词： Quantitative analysis Statistical methods E-learning Online learning environment General dictionary of Romanian literature

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People-Centered Benchmarking of smart School ecosystems: A Study with Young Students from Aveiro Region 5th

People-Centered Benchmarking of Smart School Ecosystems: A S...

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5th international conference on smart learning ecosystems and regional development (slerd)

作者： Mealha, Oscar Nunes, Jose Ferreira, Carlos Santos, Fernando Delgado Ferreira, Joao Univ Aveiro DigiMedia Res Ctr Dept Commun & Art Aveiro Portugal ASLERD Rome Italy Univ Aveiro Dept Econ Management Ind Engn & Tourism IEETA Aveiro Portugal Agrupamento Escolas Jose Estevao Aveiro AEJE Aveiro Portugal Agrupamento Escolas Estarreja Estarreja Portugal

ISBN: (纸本)9789811573835;9789811573828

This paper proposes a smartness benchmarking process capable of comparing the smartness dimensions in different school ecosystems in each stakeholder's perspective. The process uses a mixed-method approach supported by Aslerd smartness questionnaires used to gather stakeholder opinions with closed and open questions organized into eight different smartness dimensions. All these dimensions inform stakeholder's motivations and needs considering their relationship with the ecosystem's territory, its institutions, and the people that share it. Quantitative data from closed questions is used as a valorization indicator of related opinions in open-ended questions. The methodological approach adopted for the benchmarking process flows as a result of the iterative relational analysis of these three modules: (i) descriptive statistics (opinion valorization) calculation;(ii) statistical deeper probing with nonparametric tests;and (iii) qualitative pertinence processing and clustering of issues/problems per smartness dimension. The benchmarking process was tested with three cohorts of seventh-ninth grade students from three different schools in the Aveiro region, Portugal. The data was gathered in May/June 2018 at Jose Estevao school (n(1) = 156), School No. 2 at Sdo Bernardo (n(2) = 60) and at Estarreja school (n(3) = 81). Results contain evidence of process validation as a multilevel inspection benchmarking solution and reveal that the process can validate the affordance of the questionnaires. Results depict a misinterpretation of one of the questions in two different data processing phases, situation that was validated with the relational analysis of this data. The mixed-method methodological approach produces different results, shown in this paper with different degrees of complexity, from a holistic perspective to a detailed clustered subjective opinion of a cohort's specific population.

关键词： School smartness Mixed methods Benchmarking Co-design Communication Educational community

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When smartness of a Participatory learning Ecosystem Should Not Be Interpreted as Mediation by Technology: Case-Study of Golbaf Town, Iran 3rd

When Smartness of a Participatory Learning Ecosystem Should ...

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3rd international conference on smart learning ecosystems and regional development, slerd 2018

作者： Maleki, Ali Yazdi, Najmoddin Jalalvand, Milad Reza Tabibzade, Seyed Sharif University of Technology Tehran Iran

ISBN: (纸本)9783319920214

Sustainable development is coined with ongoing social learning processes. As part of a sustainable regional development project in Golbaf town, Iran, development of a participatory community-based learning ecosystem (social learning) was soon found to be a requisite. This in turn was seen to be hampered by lack of social capitals, namely trust, self-confidence and participatoriness. The interim results of the project indicate the followings as a way towards smartness (survivability) of a participatory learning ecosystem in developing contexts where mistrust, inactiveness and lack of confidence prevail: (1) Facilitating rather than doing by conveners, (2) learning by doing by citizens, and (3) gradual trust formation. It also questions suitability and survivability of highly technology-mediated learning ecosystems in such cases characterised by mistrust and lack of confidence. The results suggest a progressive approach towards mediation of technologies. In fact, above socio-cultural barriers required us to proceed face-to-face for the regeneration of social capital in order to make the newly-born learning ecosystem survivable and embeddable by time. © Springer international Publishing AG, part of Springer Nature 2019.

关键词： Sustainable development

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People-Centered development of a smart learning Ecosystem of Adaptive Robots 3rd

People-Centered Development of a Smart Learning Ecosystem of...

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3rd international conference on smart learning ecosystems and regional development, slerd 2018

作者： Fischer, Daniel K. B. Kristiansen, Jakob Mariager, Casper S. Frendrup, Jesper Rehm, Matthias Department of Architecture Design and Media Technology Aalborg University Aalborg9000 Denmark

ISBN: (纸本)9783319920214

Robots are currently moving out of the laboratory and company floor into more human and social contexts including care, rehabilitation and education. While those robots are usually envisioned as a kind of social interaction partner, we suggest a different approach, where robots become adaptive tools for facilitating social interaction and learning in special needs education. The paper presents a people-centered design and development process of such a system that is rooted in the close collaboration between the developers and a network of users and caregivers. © Springer international Publishing AG, part of Springer Nature 2019.

关键词： Robots

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Interactive learning in smart learning ecosystems 3rd

Interactive Learning in Smart Learning Ecosystems

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3rd international conference on smart learning ecosystems and regional development, slerd 2018

作者： Merdian, Irene Tullius, Gabriela Hertkorn, Peter Burgert, Oliver Reutlingen University Alteburgstraße 150 Reutlingen72762 Germany

ISBN: (纸本)9783319920214

The increasing heterogeneity of students at German Universities of Applied Sciences and the growing importance of digitalization call for a rethinking of teaching and learning within higher education. In the next years, changing the learning ecosystem by developing and reflecting upon new teaching and learning techniques using methods of digitalization will be both - most relevant and very challenging. The following article introduces two different learning scenarios, which exemplify the implementation of new educational models that allow discontinuity of time and place, technology and process in teaching and learning. Within a Blended learning approach, the first learning scenario aims at adapting and individualizing the knowledge transfer in the course Foundations of Computer Science by providing knowledge individually and situation-specifically. The second learning scenario proposes a web-based tool to facilitate digital learning environments and thus digital learning communities and the possibility of computer-supported learning. The overall aim of both learning scenarios is to enhance learning for diverse groups by providing a different smart learning ecosystem in stepping away from a teacher-based to a student-centered approach. Both learning scenarios exemplarily represent the educational vision of Reutlingen University - its development into an Interactive University. © Springer international Publishing AG, part of Springer Nature 2019.

关键词： E-learning

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Improving Massive Alternance Scheme: The Paradigmatic Case History of the Incubator of Projectuality at the Ferrari School of Rome 3rd

Improving Massive Alternance Scheme: The Paradigmatic Case H...

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3rd international conference on smart learning ecosystems and regional development, slerd 2018

作者： Giovannella, Carlo Crea, Ida Brandinelli, Giuseppe Ielpo, Bianca Solenghi, Cristina ISIM_Garage Department of History Cultural Heritage Education and Society University of Rome Tor Vergata Rome Italy ASLERD Association for Smart Learning Ecosystems and Regional Development Rome Italy IIS E. Ferrari Rome Italy

ISBN: (纸本)9783319920214

Since three years the Italian Ministry of Education (MIUR) has introduced a massive alternance scheme, completely new to Europe, whose implementation still shows several critical issues and requires a special effort by all potential players - schools, associations, enterprises, local communities, etc. - to design and experiment models and strategies capable to mitigate them. In this article we present the first validation of an approach, based on the simulation of innovation processes, that can be considered innovative in the context of the Italian School Work Alternance (SWA) scheme. The outcomes of the experimentation are encouraging and show an average increase of more than one point over ten in the student satisfaction with respect to that of peers who have experienced other schemes of SWA activities during the previous school year. Not by chance our proposal has been selected as best practice by the local association of the entrepreneurs. Despite of such positive result, as discussed in the body of the paper, there exists a considerable room for improvements. © Springer international Publishing AG, part of Springer Nature 2019.

关键词： ecosystems

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