LEADER 03932oam 2200541 450 001 9910484210803321 005 20220221111140.0 010 $a981-334-681-7 024 7$a10.1007/978-981-33-4681-9 035 $a(CKB)4100000011728481 035 $a(DE-He213)978-981-33-4681-9 035 $a(MiAaPQ)EBC6462830 035 $a(PPN)253254132 035 $a(EXLCZ)994100000011728481 100 $a20210624d2021 uy 0 101 0 $aeng 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModern approach to educational data mining and its applications /$fSoni Sweta 205 $a1st ed. 2021 210 1$aGateway East, Singapore :$cSpringer,$d[2021] 210 4$a©2021 215 $a1 online resource 225 1 $aSpringer Briefs in Computational Intelligence,$x2191-530X 311 $a981-334-680-9 327 $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. 330 $aThis book emphasizes that learning efficiency of the learners can be increased by providing personalized course materials and guiding them to attune with suitable learning paths based on their characteristics such as learning style, knowledge level, emotion, motivation, self-efficacy and many more learning ability factors in e-learning system. Learning is a continuous process since human evolution. In fact, it is related to life and innovations. The basic objective of learning to grow, aspire and develop ease of life remains the same despite changes in the learning methodologies. Introduction of computers empowered us to attain new zenith in knowledge domain, developed pragmatic approach to solve life?s problem and helped us to decipher different hidden patterns of data to get new ideas. Of late, computers are predominantly used in education. Its process has been changed from offline to online in view of enhancing the ease of learning. With the advent of information technology, e-learning has taken centre stage in educational domain. In e-learning context, developing adaptive e-learning system is buzzword among contemporary research scholars in the area of Educational Data Mining (EDM). Enabling personalized systems is meant for improvement in learning experience for learners as per their choices made or auto-detected needs. It helps in enhancing their performance in terms of knowledge, skills, aptitudes and preferences. It also enables speeding up the learning process qualitatively and quantitatively. These objectives are met only by the Personalized Adaptive E-learning Systems in this regard. Many noble frameworks were conceptualized, designed and developed to infer learning style preferences, and accordingly, learning materials were delivered adaptively to the learners. Designing frameworks help to measure learners? preferences minutely and provide adaptive learning materials to them in a way most appropriately. 410 0$aSpringerBriefs in Computational Intelligence,$x2625-3704. 606 $aEducation$xData processing 606 $aData Mining$2gnd$3(DE-588)4428654-5 606 $aPädagogik$2gnd$3(DE-588)4044302-4 606 $aE-Learning$2gnd$3(DE-588)4727098-6 615 0$aEducation$xData processing. 615 7$aData Mining 615 7$aPädagogik 615 7$aE-Learning 676 $a371.334 686 $2rvk 686 $aDW 4400$2rvk 700 $aSweta$b Soni$0981441 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910484210803321 996 $aModern approach to educational data mining and its applications$92240105 997 $aUNINA