Ambient Intelligence – Software and Applications –, 9th International Symposium on Ambient Intelligence / / edited by Paulo Novais, Jason J. Jung, Gabriel Villarrubia González, Antonio Fernández-Caballero, Elena Navarro, Pascual González, Davide Carneiro, António Pinto, Andrew T. Campbell, Dalila Durães |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (436 pages) |
Disciplina | 004.019 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
ISBN | 3-030-01746-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910483596503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference / / edited by Marcelo Milrad, Nuno Otero, María Cruz Sánchez‑Gómez, Juan José Mena, Dalila Durães, Filippo Sciarrone, Claudio Alvarez-Gómez, Manuel Rodrigues, Pierpaolo Vittorini, Rosella Gennari, Tania Di Mascio, Marco Temperini, Fernando De la Prieta |
Autore | Milrad Marcelo |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (275 pages) |
Disciplina | 006.3 |
Altri autori (Persone) |
OteroNuno
Sánchez‑GómezMaría Cruz MenaJuan José DurãesDalila SciarroneFilippo Alvarez-GómezClaudio RodriguesManuel VittoriniPierpaolo GennariRosella |
Collana | Lecture Notes in Networks and Systems |
Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
ISBN | 3-031-41226-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization of MIS4TEL 2023 -- Contents -- Statistical Analysis of the Influence of Teaching Experience on the Perception of Virtual Reality -- 1 Introduction -- 2 Materials and Methods -- 2.1 Participants -- 2.2 Variables -- 3 Methodological Approach -- 3.1 Instrument -- 3.2 Methodology -- 4 Results -- 5 Discussion -- 6 Conclusions -- References -- Multiple-Choice Questions Difficulty Prediction with Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data -- 3.2 Features -- 3.3 Models -- 4 Results -- 4.1 Baseline -- 4.2 Results and Analysis of the Proposed Models -- 4.3 Discussion and Future Work -- 5 Conclusion -- References -- Mixed Study on the use of Flipped Classroom Methodology in the Subject of Community Mental Health Care -- 1 Introduction -- 2 Methodology -- 2.1 Participant and Settings -- 2.2 Research Design -- 2.3 Data Collection -- 2.4 Data Analysis -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Assessing the Impact of Computer Simulations on Physics and Chemistry Learning -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Participants -- 3.2 Lesson Plans -- 3.3 Support Materials -- 3.4 Students' Learning Evaluation -- 4 Results and Discussion -- 5 Conclusions and Future Work -- References -- Analysis of the Digital Competence of the Students of Mathematics Sciences of the Francisco de Morazán National Pedagogical University -- 1 Introduction -- 2 Methodology -- 2.1 Participant and Settings -- 2.2 Research Design -- 2.3 Data Collection -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Leveraging Topic Modeling to Investigate Learning Experience and Engagement of MOOC Completers -- 1 Introduction -- 2 Research Method -- 3 Results and Discussion -- 4 Conclusion and Future Work -- References.
AI4Architect: An Intelligent Help System to Support Students in the Design Domain -- 1 Introduction -- 2 Related Work -- 3 The AI4Architect System -- 3.1 The Fine-Tuning Pre-processing Step -- 3.2 The System -- 4 Methods -- 5 Conclusions and Future Work -- References -- DeeJay in Action: Evaluating it by its Application in Technology-Enhanced Learning -- 1 Introduction -- 2 Background -- 2.1 Evaluating a Methodological Framework: State-of-the-Art -- 2.2 The DeeJay Methodological Framework: The Foundations -- 3 Applying DeeJay in Two TEL Projects Across Different Application Domains -- 3.1 The CrazySquare Project -- 3.2 The MONICA Project -- 4 A Preliminary Evaluation of DeeJay -- 5 Conclusion and Future Works -- References -- Prediction of Students' Grades Based on Non-academic Data -- 1 Introduction -- 2 Literature Review -- 3 Data Mining -- 3.1 Data Preparation -- 3.2 Discussion -- 4 Conclusion -- References -- Linking Swedish Learning Materials to Exercises through an AI-Enhanced Recommender System*-5pt -- 1 Introduction -- 2 Textual Similarity Technology and Model Selection -- 3 Data -- 4 Method -- 4.1 Pooling Method -- 4.2 Evaluation Metrics -- 5 Results -- 5.1 Paragraph-Level Pooling -- 5.2 Model Results -- 5.3 Error Analysis -- 6 Conclusion and Future Work -- References -- Technology as a Vehicle Towards Full Inclusion in the Classroom -- 1 Introduction -- 2 Inclusive Education -- 3 ICT as an Enabler of Inclusion in Classrooms -- 4 ICT Tools and Materials for Inclusion -- 5 Conclusion -- References -- Use of Exergames with Elderly Adults, a Qualitative Study -- 1 Introduction -- 2 Methodology -- 3 Results -- 3.1 Article Content Analysis -- 4 Discussion and Conclusions -- References -- Reflections on Methods for Eliciting Teachers Understanding, Attitudes and Emotions About AI -- 1 Introduction. 2 Current Theoretical Perspectives on AI in Education -- 2.1 Integrating AI and Digital Literacy in Education -- 2.2 The Teacher's Perspective -- 2.3 Methods to Investigate Teachers' Knowledge Structures, Attitudes and Beliefs Towards Digital Technologies -- 3 Methodological Considerations When Eliciting Teachers' Knowledge, Attitudes and Emotions of AI -- 3.1 From Written Individual Responses to Group Discussion: Consistencies, Inconsistencies and Gaps -- 3.2 Reflecting on the Methods Used and Their Implications for Study Design -- 3.3 Analysing the Potential Inquiring Approaches for Eliciting Teachers' Understanding -- 4 Conclusions and Future Work -- References -- OSAS Virtual Reality Lab: An Experience in OSH Training -- 1 Introduction -- 1.1 Immersive Technologies for Education and Cognitive Aspects in Learning -- 2 Aims -- 3 Material and Methods -- 3.1 The Virtual Laboratory -- 3.2 Evaluation Tool -- 4 Results -- 5 Discussion and Conclusion -- References -- First Evaluation of an Adaptive Tool Supporting Formative Assessment in Data Science Courses -- 1 Introduction -- 2 Related Work -- 3 Study -- 3.1 Material and Methods -- 3.2 The Adaptive rDSA System -- 3.3 Results -- 3.4 Discussion -- 4 Conclusions and Future Work -- References -- Domain-Specific Automatic Item Generation for Higher Competence Levels: A Comparative Study on Three Cases -- 1 Introduction -- 1.1 The Educational Perspective -- 1.2 The Technological Perspective -- 1.3 Contributions -- 2 Item Generation Process -- 3 Sample Item Comparison -- 3.1 Case 1: Computer Science -- 3.2 Case 2: Electrical Engineering -- 3.3 Case 3: Language Learning -- 3.4 Comparison Overview -- 4 Conclusions and Future Work -- References -- PathIt: Computational Thinking Training for Visually Impaired Individuals -- 1 Introduction -- 2 Visually Impaired People -- 3 PathIt Overview. 3.1 PathIt Runtime Examples -- 4 PathIt System Architecture -- 5 PathIt Development -- 6 Conclusion -- References -- Delivering Engaging Curricular Lessons - A Case of Mixed Reality Technology in Education -- 1 Introduction -- 2 Background Literature -- 3 Mixed Reality Prototype Implementation -- 4 Preliminary Case Study -- 5 Analysis and Results -- 5.1 Pedagogic and Teaching Perspectives -- 5.2 Technology Perspectives -- 5.3 Students' Engagement Perspectives -- 6 Discussion -- 6.1 Mixed Reality Technology for Students' Engagement -- 6.2 Teaching Strategies for Delivering Engaging Lessons in Mixed Reality -- 7 Conclusions -- References -- Distance Mathematics Teaching During the Pandemic - Experiences from Secondary Schools in Romania -- 1 Introduction -- 2 Student Survey -- 2.1 Description of the Questionnaire -- 2.2 Findings Regarding Educational Platforms and Personal Logistics -- 2.3 Findings Regarding the Effectiveness of the Online Teaching Approach -- 2.4 Findings Regarding an Ideal Platform for Distance Mathematics Education -- 3 Teacher Interviews -- 4 Discussion and Conclusion -- References -- Technology Enhanced Learning in Training Medical Residents in Anesthesiology. The Experience with a New Generation Simulator to Perform PECS II BLOCK in Breast Surgery -- 1 Introduction -- 2 The Research Project -- 2.1 Participants -- 2.2 Setting -- 2.3 Procedures -- 2.4 Measures -- 2.5 Statistical Analysis -- 3 Results -- 4 Discussion and Conclusions -- References -- Using Nearpod for Reviewing Lessons to Increase Motivation and Academic Performance: A Case Study with Engineering Students -- 1 Introduction -- 1.1 Use of Technology in Education -- 1.2 Implementation of SRS Tools -- 1.3 Aim of the Study -- 2 Methodology -- 2.1 Overview of the Nearpod tool -- 2.2 Creation of the Nearpod Review Sessions -- 2.3 Participants and Data Collection. 3 Results -- 3.1 Previous Experience of the Students -- 3.2 Content and Duration -- 3.3 Perception about the Use of Nearpod in the Lessons -- 3.4 Effect on Motivation -- 3.5 Effect on Learning Performance and Knowledge Retention -- 4 Conclusions -- References -- Computational Thinking & -- Artificial Intelligence in K-12 Education: Two Distinct but Still Complementary Worlds -- 1 Introduction -- 2 The Background of CT and AI in K-12 -- 2.1 CT in K-12 Education -- 2.2 AI in K-12 Education and a New View on CT -- 3 Methodological Approach -- 3.1 Literature Search -- 3.2 Inclusion and Exclusion Criteria -- 3.3 Review of the Literature -- 3.4 CT Versus AI Over Time -- 4 Analysis -- 4.1 Concepts and Practices of CT -- 4.2 AI, the Five Big Ideas and How They Relate to CT -- 4.3 Differences between CT and AI -- 5 Discussions and Conclusions -- References -- Predicting Student Performance with Virtual Resources Interaction Data at Different Stages of the Course -- 1 Introduction -- 2 Related Work -- 3 Material and Methods -- 3.1 Dataset -- 3.2 Problem Definition -- 3.3 Classifiers -- 4 Experiments and Results -- 4.1 Experimental Setup -- 4.2 Binary Classification -- 4.3 Multiclass Classification -- 5 Discussion -- 6 Conclusions -- References -- Mindfulness Lessons in a Virtual Natural Environment to Cope with Work-Related Stress -- 1 Reduce Work-Related Stress Through a Mindfulness in Nature Virtual Practice -- 1.1 Stress in Work Environments -- 1.2 The Role of Mindfulness and Nature in Coping with Stress -- 1.3 Mindfulness Classes in a Virtual Natural Environment -- 2 A Digital Training Platform to Address Work-Related Stress: MINDLIVEN -- 3 Preliminary Results from the Pilot Test -- 4 Conclusions -- References -- Collaborative Learning in Mixed Reality Using WebXR and H5P -- 1 Introduction -- 2 Related Work. 3 Collaborative WebXR-Based H5P Learning Module. |
Record Nr. | UNINA-9910743697803321 |
Milrad Marcelo | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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