| 000 | 05791cam a2200529Mi 4500 | ||
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| 001 | 96133 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102112739.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 170605s2017 sz o 101 0 eng d | ||
| 020 |
_a3319608193 _q(electronic bk.) |
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| 020 |
_a9783319608198 _q(electronic bk.) |
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| 020 | _z3319608185 | ||
| 020 | _z9783319608181 | ||
| 040 |
_aYDX _cYDX _dN$T _dGW5XE _dN$T _dEBLCP _dUAB _dESU _dAZU _dUPM _dOCLCF _dIOG _dCOO _dMERER _dOCLCQ _dU3W _dES-MaUEC _bspa |
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| 050 | 4 |
_aLB1028.3 _bM484 2017 EB |
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| 111 | 2 |
_aInternational Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning _n(7th : _d2017 : _cPorto, Portugal) |
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| 245 | 1 | 0 |
_aMethodologies and intelligent systems for technology enhanced learning : _b7th International Conference _cPierpaolo Vittorini, Rosella Gennari, Tania Di Mascio, Sara Rodríguez, Fernando De la Prieta, Carlos Ramos, Ricardo Azambuja Silveira, editors. |
| 246 | 3 | _aMIS4TEL 2017 | |
| 264 | 1 |
_aCham _bSpringer _c2017. |
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| 300 | _a1 recurso en línea | ||
| 336 |
_aTexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF |
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| 490 | 0 |
_aAdvances in intelligent systems and computing _x2194-5357 _vv. 617 |
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| 500 | _aIncluye índice de autor | ||
| 500 |
_aSpringerLink _bSpringer Engineering eBooks 2017 English+International |
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| 505 | 0 | _aPreface; Organisation of MIS4TEL 2017; General Chair; Local Organization Chair; Paper Co-chair; Technical Program Chair; Proceedings Chairs; Steering Committee; Local Organization; Program Committee; Contents; Artificial Intelligent Technologies and Algorithms for TEL; A Fuzzy-Based Multi-agent Model for Group Formation in Collaborative Learning Environments; Abstract; 1 Introduction; 2 Related Works; 3 Model Proposed; 4 Model Implementation and Validation; 5 Conclusions and Future Work; Acknowledgments; References. | |
| 505 | 8 | _a3 Results3.1 Evolution of Simulation Models; 3.2 Technological-Enhanced Simulation; 4 Discussion; 5 Conclusion; References; Use of Internet and Wellbeing: A Mixed-Device Survey; Abstract; 1 Introduction; 1.1 Internet Use and Wellbeing; 1.2 The Present Study; 2 Method; 2.1 Participants; 2.2 Material and Procedure; 2.2.1 Virtual and Non-virtual use of Weekly Time; 2.2.2 Weekly Emotions; 2.2.3 Life Satisfaction; 2.3 Analysis Procedure; 3 Results and Discussion; 3.1 Virtual Use of Time; 3.2 Virtual and Non-virtual Use of Time and Emotions. | |
| 505 | 8 | _a5.3 Results6 Discussion and Conclusions; References; Methodologies for the Design, Personalisation, User Modelling and Adaptation in TEL; Assessing the Role of Computer Simulation in Chemistry Learning; Abstract; 1 Introduction; 2 Knowledge Representation and Reasoning; 3 Methods; 3.1 Participants; 3.2 Lesson Plans; 3.3 Teacher Support Materials; 3.4 Students' Learning Assessment; 4 Results and Discussion; 5 Conclusions; Acknowledgments; References; Literature-Based Analysis of the Potentials and the Limitations of Using Simulation in Nursing Education; Abstract; 1 Introduction; 2 Methods. | |
| 505 | 8 | _aAnswer Identification Model for Methodological Question in Student TextsAbstract; 1 Introduction; 2 Related Work; 3 Data Description; 4 Model Overview; 5 Language Model; 6 AIS: Answer Identification Scanning; 7 Conclusions; References; The Design of a Smart Tray with Its Canteen Users: A Formative Study; 1 Introduction; 2 Related Work; 3 GAPH Design Goal and Requirements; 3.1 GAPH Main Users and Design Goal; 3.2 Context of Use and Design Requirements; 4 GAPH Design Choices; 5 Field Study for Rapid Design Decisions with End Users; 5.1 Goal, Setting and Participants; 5.2 Data Collection. | |
| 505 | 8 | _aUsing Large Margin Nearest Neighbor Regression Algorithm to Predict Student Grades Based on Social M ... Abstract; 1 Introduction; 2 Educational Dataset; 3 The Large Margin Nearest Neighbor Regression Algorithm; 4 Results and Discussion; 4.1 Performance of Classic Regression Algorithms; 4.2 Performance of the LMNNR Algorithm; 5 Conclusions; Acknowledgements; References; Adaptive Agent-Based Environment Model to Enable the Teacher to Create an Adaptive Class; Abstract; 1 Introduction; 2 Agents' Model; 3 System Workflow; 4 Implementation; 5 Final Remarks; Acknowledgments; References. | |
| 520 | 3 | _aThis book presents the outcomes of the 7th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning (MIS4TEL'17), hosted by the Polytechnic of Porto, Portugal from 21 to 23 June 2017. Expanding on the topics of the previous conferences, it provided an open forum for discussing intelligent systems for technology enhanced learning (TEL) and their roots in novel learning theories, empirical methodologies for their design or evaluation, stand-alone and web-based solutions, and makerspaces. It also fostered entrepreneurship and business startup ideas, bringing together researchers and developers from industry, education and the academic world to report on the latest scientific research, technical advances and methodologies. | |
| 650 | 7 |
_aInnovaciones educativas _2embne _0(OCoLC)fst00903483 _0 _9158536 |
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| 700 | 1 | _aDe la Prieta, Fernando. | |
| 700 | 1 |
_aDi Mascio, Tania _999712 |
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| 700 | 1 |
_aGennari, Rosella _999713 |
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| 700 | 1 | _aRamos, Carlos. | |
| 700 | 1 | _aRodriguez, Sara. | |
| 700 | 1 | _aSilveira, Ricardo Azambuja. | |
| 700 | 1 |
_aVittorini, Pierpaolo. _999715 |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-60819-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 988 | _aEBOOK, asignarmaterias, EBSPRINGER_2017D | ||
| 998 |
_b02/2018 _dz _e- _zSI |
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| 999 |
_c96133 _d96133 _x1 |
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