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020 _a9783030966447
024 7 _a10.1007/978-3-030-96644-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aLB1028.43
_b2022 EB
245 0 0 _aData Analytics in e-Learning: Approaches and Applications
_cedited by Marian Cristian Mihăescu
250 _aFirst edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (VII, 165 páginas)
_b64 ilustraciones, 21 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aIntelligent Systems Reference Library
_x1868-4408
_v220
520 _aThis book focuses on research and development aspects of building data analytics workflows that address various challenges of e-learning applications. This book represents a guideline for building a data analysis workflow from scratch. Each chapter presents a step of the entire workflow, starting from an available dataset and continuing with building interpretable models, enhancing models, and tackling aspects of evaluating engagement and usability. The related work shows that many papers have focused on machine learning usage and advancement within e-learning systems. However, limited discussions have been found on presenting a detailed complete roadmap from the raw dataset up to the engagement and usability issues. Practical examples and guidelines are provided for designing and implementing new algorithms that address specific problems or functionalities. This roadmap represents a potential resource for various advances of researchers and practitioners in educational data mining and learning analytics.
988 _aSpringer_Robotics_2022
650 7 _2embne
_aInteligencia artificial
_xAspectos educativos
_9413115
650 7 _2embne
_9158536
_aInnovaciones educativas
700 1 _aMihaescu, Marian Cristian
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9684479
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030966430
776 0 8 _iPrinted edition:
_z9783030966454
776 0 8 _iPrinted edition:
_z9783030966461
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-96644-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b07/2022
_dz
_eIG
_zSI