LEADER 03391nam 22005175 450 001 9910903796503321 005 20251113195645.0 010 $a9789819793501 010 $a9819793505 024 7 $a10.1007/978-981-97-9350-1 035 $a(CKB)36443141600041 035 $a(MiAaPQ)EBC31747198 035 $a(Au-PeEL)EBL31747198 035 $a(DE-He213)978-981-97-9350-1 035 $a(EXLCZ)9936443141600041 100 $a20241031d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence in Education $eA Machine-Generated Literature Overview /$fedited by Myint Swe Khine 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (742 pages) 311 08$a9789819793495 311 08$a9819793491 327 $a1. Educational Data Mining and Learning Analytics -- 2. Personalized learning with AI, Eye-tracking studies and Precision Education -- 3. Using AI for Adaptive Learning and Adaptive Assessment -- 4. AI in Teaching and Learning and Intelligent Tutoring Systems -- 5. Machine Learning in Education -- 6. Ethics, and the Future of Education in an AI-driven World. 330 $aThis comprehensive volume explores the possibilities, challenges and ethical considerations of Artificial Intelligence (AI) in education through a machine-generated literature review that examines emerging research trends and findings. Each chapter presents summaries of pre-defined topics and includes a human-written introduction by the book editor. It covers critical areas such as educational data mining, learning analytics, personalised learning, adaptive assessment, intelligent tutoring systems, as well as the ethical challenges of AI in education. This volume provides valuable insights for educators, researchers, policymakers and students seeking to understand the transformative potential of AI in education. It serves as a reference point for navigating the evolving landscape of AI-assisted learning and offers a glimpse into the future of education in an AI-driven world. The auto-summaries were generated by a recursive clustering algorithm using the Dimensions Auto-summariser from Digital Science. The editor of this book selected the SN content to be auto-summarised and decided the order of appearance. Please note that these are extractive auto-summaries, consisting of original sentences, but are not representative of the original paper, as we do not show the full length of the publication. Please note that only published SN content is represented here and that machine-generated books are still at an experimental stage. . 606 $aEducational technology 606 $aEducation$xResearch 606 $aDigital Education and Educational Technology 606 $aResearch Methods in Education 615 0$aEducational technology. 615 0$aEducation$xResearch. 615 14$aDigital Education and Educational Technology. 615 24$aResearch Methods in Education. 676 $a371.33 700 $aKhine$b Myint Swe$0858650 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910903796503321 996 $aArtificial Intelligence in Education$94272938 997 $aUNINA