03397nam a22004455i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001300172072001600185072002300201072001500224245013700239250001800376264007200394300004200466336002600508337002600534338003600560347002400596505036500620520145400985650003502439650003202474650005702506650004202563700008602605710003402691773002602725776003602751776003602787776003602823856004602859912001402905912001502919999001702934978-981-97-9350-1DE-He21320251030113255.0cr nn 008mamaa241031s2024    si |    s    |||| 0|eng d  a97898197935019978-981-97-9350-17 a10.1007/978-981-97-9350-12doi 4aLB1028.3 7aJNV2bicssc 7aEDU0000002bisacsh 7aJNV2thema10aArtificial Intelligence in Educationh[electronic resource] :bA Machine-Generated Literature Overview /cedited by Myint Swe Khine.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXI, 735 p. 1 illus.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 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.  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. . 0aEducational technology.957244 0aEducationxResearch.95983214aDigital Education and Educational Technology.96855724aResearch Methods in Education.9696941 aKhine, Myint Swe.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9716972 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981979349508iPrinted edition:z978981979351808iPrinted edition:z978981979352540uhttps://doi.org/10.1007/978-981-97-9350-1  aZDB-2-EDA  aZDB-2-SXED  c64653d64653