LEADER 04286nam 22006135 450 001 9910299543903321 005 20240322002930.0 010 $a9789811306501 010 $a9811306508 024 7 $a10.1007/978-981-13-0650-1 035 $a(CKB)4100000007110735 035 $a(MiAaPQ)EBC5592885 035 $a(DE-He213)978-981-13-0650-1 035 $a(EXLCZ)994100000007110735 100 $a20181103d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFrontiers of Cyberlearning $eEmerging Technologies for Teaching and Learning /$fedited by J. Michael Spector, Vivekanandan Kumar, Alfred Essa, Yueh-Min Huang, Rob Koper, Richard A. W. Tortorella, Ting-Wen Chang, Yanyan Li, Zhizhen Zhang 205 $a1st ed. 2018. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2018. 215 $a1 online resource (244 pages) 225 1 $aLecture Notes in Educational Technology,$x2196-4971 311 08$a9789811306495 311 08$a9811306494 327 $aChapter 1 Learning Any Time, Anywhere: Big Educational Data from Smart Devices -- Chapter 2 Framing Learning Analytics and Educational Data Mining for Teaching: Critical Inferencing, Domain Knowledge, & Pedagogy -- Chapter 3 Learning Traces, Competence Assessment, and Causal Inference for English Composition -- Chapter 4 QUESGEN: A Framework for Automatic Question Generation Using Semantic Web and Lexical Databases -- Chapter 5 A big data reference architecture for teaching social media mining -- Chapter 6 Big Data in Education: Supporting Learners in Their Role as Reflective Practitioners -- Chapter 7 Towards Big Data in Education: the case at the Open University of the Netherlands -- Chapter 8 Learning Analytics in Practice: Providing e-Learning Researchers and Practitioners with Activity Data -- Chapter 9 Using Apache Spark for Modeling Education Data at Scale -- Chapter 10 Towards a Cloud-Based Big Data Infrastructure for Higher Education Institutions -- Chapter 11 Cloud Services in Collaborative Learning: Applications and Implications -- Chapter 12 Cloud Computing Environment in Big Data for Education -- Chapter 13 Head in the Clouds: Some of the Possible Issues with Cloud-Computing in Education. 330 $aThis book demonstrates teachers? and learners? experiences with big data in education; education and cloud computing; and new technologies for teacher support. It also discusses the advantages of using these frontier technologies in teaching and learning and predicts the future challenges. As such, it enables readers to better understand how technologies can improve learning and teaching experiences. It is intended for graduates and scholars in educational technology disciplines and anyone interested in the applications of frontier technologies in education. 410 0$aLecture Notes in Educational Technology,$x2196-4971 606 $aEducational technology 606 $aEducation$xData processing 606 $aDigital Education and Educational Technology 606 $aComputers and Education 615 0$aEducational technology. 615 0$aEducation$xData processing. 615 14$aDigital Education and Educational Technology. 615 24$aComputers and Education. 676 $a371.3 686 $a32.16.32$2EP-CLASS 686 $a32.16.28.20$2EP-CLASS 702 $aSpector$b J. Michael$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKumar$b Vivekanandan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEssa$b Alfred$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHuang$b Yueh-Min$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKoper$b Rob$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTortorella$b Richard A. W$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChang$b Ting-Wen$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLi$b Yanyan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhang$b Zhizhen$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910299543903321 996 $aFrontiers of Cyberlearning$92540237 997 $aUNINA