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020			_a9789813346819
024	7		_a10.1007/978-981-33-4681-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _erda _dES-MaUEC
050		4	_aLB1028.43 _b2021 EB
100	1		_aSweta, Soni _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9678147
245	1	0	_aModern Approach to Educational Data Mining and Its Applications _cby Soni Sweta.
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XXVII, 93 páginas) _b38 ilustraciones, 34 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2
490	0		_aSpringerBriefs in Computational Intelligence _x2625-3704
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aEducational Data Mining in E-Learning System -- Adaptive E-Learning System -- Educational Data Mining Techniques with Modern Approach -- Learning Style with Cognitive Approach -- Framework with Stakholders in Adaptive E-Learning System -- Personalization Based on Learning Preference -- Recommender System to Enhancing Efficacy of E-Learning System.
520	3		_aThis book emphasizes that learning efficiency of the learners can be increased by providing personalized course materials and guiding them to attune with suitable learning paths based on their characteristics such as learning style, knowledge level, emotion, motivation, self-efficacy and many more learning ability factors in e-learning system. Learning is a continuous process since human evolution. In fact, it is related to life and innovations. The basic objective of learning to grow, aspire and develop ease of life remains the same despite changes in the learning methodologies. Introduction of computers empowered us to attain new zenith in knowledge domain, developed pragmatic approach to solve life's problem and helped us to decipher different hidden patterns of data to get new ideas. Of late, computers are predominantly used in education. Its process has been changed from offline to online in view of enhancing the ease of learning. With the advent of information technology, e-learning has taken centre stage in educational domain. In e-learning context, developing adaptive e-learning system is buzzword among contemporary research scholars in the area of Educational Data Mining (EDM). Enabling personalized systems is meant for improvement in learning experience for learners as per their choices made or auto-detected needs. It helps in enhancing their performance in terms of knowledge, skills, aptitudes and preferences. It also enables speeding up the learning process qualitatively and quantitatively. These objectives are met only by the Personalized Adaptive E-learning Systems in this regard. Many noble frameworks were conceptualized, designed and developed to infer learning style preferences, and accordingly, learning materials were delivered adaptively to the learners. Designing frameworks help to measure learners' preferences minutely and provide adaptive learning materials to them in a way most appropriately.
988			_aSpringer_Robotics_2021
650		7	_2embne _aData mining _9162648
650		7	_2embne _9405943 _aEstudio _xMétodo
650		7	_2embne _aAprendizaje automático _9166090
776	0	8	_iPrinted edition: _z9789813346802
776	0	8	_iPrinted edition: _z9789813346826
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-33-4681-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b04/2021 _dz _eIG _zSI