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| 020 | _a9783030293260 | ||
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_a10.1007/978-3-030-29326-0 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aLB1027 _b2020 EB |
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| 245 | 0 | 0 |
_aEngineering Data-Driven Adaptive Trust-based e-Assessment Systems. _bChallenges and Infrastructure Solutions _cedited by David Baneres, M. Elena Rodríguez, Ana Elena Guerrero-Roldán. |
| 250 | _a1st ed. 2020. | ||
| 264 | 1 |
_aCham _bSpringer International Publishing : _bImprint: Springer _c2020. |
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| 300 |
_a1 recurso en línea (XXIII, 327 páginas) _b71 ilustraciones, 65 ilustraciones a color. |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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_aLecture Notes on Data Engineering and Communications Technologies _x2367-4512 _v34 |
|
| 490 | 0 | _aIntelligent Technologies and Robotics (Springer-42732) | |
| 505 | 0 | _aForensic Analysis Recognition -- Plagiarism Detection -- Biometric Tools for Learner Identity in e-Assessment -- Engineering Cloud-based Technological Infrastructure -- Security and Privacy in the TeSLA Architecture -- Design and Implementation of Dashboards to Support Teachers Decision-Making Process in e-Assessment Systems -- Design and execution of TeSLA Pilots -- Ethical, Legal and Privacy Considerations for Adaptive Systems -- Underpinning Quality Assurance in Trust-based e-Assessment Procedures. . | |
| 520 | 3 | _aThis book shares original innovations, research, and lessons learned regarding teaching and technological perspectives on trust-based learning systems. Both perspectives are crucial to enhancing the e-Assessment process. In the course of the book, diverse areas of the computer sciences (machine learning, biometric recognition, cloud computing, and learning analytics, amongst others) are addressed. In addition, current trends, privacy, ethical issues, technological solutions, and adaptive educational models are described to provide readers with a global view on the state of the art, the latest challenges, and potential solutions in e-Assessment. As such, the book offers a valuable reference guide for industry, educational institutions, researchers, developers, and practitioners seeking to promote e-Assessment processes. | |
| 988 | _aPrimersemestre_2020_Robotics | ||
| 650 | 7 |
_2embne _aInnovaciones educativas _9158536 |
|
| 700 | 1 |
_aBaneres, David. _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aRodríguez, M. Elena. _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aGuerrero-Roldán, Ana Elena. _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 773 | 0 | _tSpringer eBooks | |
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_iPrinted edition: _z9783030293253 |
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_iPrinted edition: _z9783030293277 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-29326-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_2lcc _cLE _n0 |
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_b03/2020 _dz _ek _zSI |
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