LEADER 00963nam0-22003491i-450- 001 990001333990403321 010 $a90-6196-420-2 035 $a000133399 035 $aFED01000133399 035 $a(Aleph)000133399FED01 035 $a000133399 100 $a20000920d1993----km-y0itay50------ba 101 0 $aeng 200 1 $aMultimedians in metric and normed spaces$fE. R. Verheul. 210 $aAmsterdam$cStichting Mathematisch Centrum$dc1993. 215 $ax, 136 p.$d24 cm 225 1 $aCWI Tracts$v91 610 0 $aStrutture algebriche 610 0 $aSpazi lineari normati 610 0 $aConvessita geometrica 676 $a515.73 700 1$aVerheul,$bE.R.$060729 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001333990403321 952 $aC-23-(91$b11804$fMA1 959 $aMA1 962 $a06C99 962 $a46B20 996 $aMultimedians in metric and normed spaces$9375993 997 $aUNINA DB $aING01 LEADER 05755nam 22008055 450 001 9910913795003321 005 20250602084840.0 010 $a9783031724107 010 $a3031724100 024 7 $a10.1007/978-3-031-72410-7 035 $a(CKB)36702035400041 035 $a(MiAaPQ)EBC31806692 035 $a(Au-PeEL)EBL31806692 035 $a(DE-He213)978-3-031-72410-7 035 $a(EXLCZ)9936702035400041 100 $a20241127d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aExplainable AI for Education: Recent Trends and Challenges /$fedited by Tanu Singh, Soumi Dutta, Sonali Vyas, Álvaro Rocha 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (314 pages) 225 1 $aInformation Systems Engineering and Management,$x3004-9598 ;$v19 311 08$a9783031724091 311 08$a3031724097 327 $aA path analysis model of responsible usage of AI and its effectiveness on the Quality of Education: Perspective from India -- Towards Trustworthy and Explainable AI Educational Systems -- Educational AI Tools: A new Revolution in Outcome-Based Education -- Intelligent AI Driven for Digital Citizenship and Eco-Literacy to Unravelling Social Systems in Environmental Education for sustainable learning -- Unveiling the Black Box: Exploring Explainable AI in Education - Trends, Challenges, and Future Directions -- Equitable Education and Sustainable Learning: A Literary Exploration Of Integration Of Artificial Intelligence In Education For SDGs Advancement -- A Study of the Histories of People for Gerontology through Steps of Artificial Intelligence in Text Book -- Supremely Explainable Artificial Intelligence (XAI) in Education 5.0: Articulating Constructive Alignment in Teaching Learning Practices -- ARTIFICIAL INTELLIGENCE IN THE TEACHING OF NATURAL SCIENCES ON THE THRESHOLD OF THE FIFTH INDUSTRIAL REVOLUTION -- Navigating the Evolving Landscape of Personalized Learning in AIED: Recent Trends and Innovations -- Reshaping Education through AI: A Progressive Model for Developing Economies -- Innovative Pedagogical Practices through the Development and Design of EFL Teaching Materials Tailored to Sustainability through AI in the Digital Revolution -- The Dynamic Impact of Neuroscience and Artificial Intelligence on Education -- Transformative Pedagogy: A Comprehensive Framework for AI Integration in Education -- AI-Powered Proctoring: Safeguarding Online Assessment in the Education 5.0 -- An MTCNN-Based Attendance Monitoring System Powered by Inception-ResNet-v1. 330 $a?Explainable AI for Education: Recent Trends and Challenges? is a comprehensive exploration of the intersection between artificial intelligence (AI) and education. In this book, we delve into the critical need for transparency and interpretability in AI systems deployed within educational contexts. Key Themes Understanding AI in Education: We provide a concise overview of AI techniques commonly used in educational settings, including recommendation systems, personalized learning, and assessment tools. Readers will gain insights into the potential benefits and risks associated with AI adoption in education. The Black-Box Problem: AI models often operate as ?black boxes,? making it challenging to understand their decision-making processes. We discuss the implications of this opacity and emphasize the importance of explainability. Explainable AI (XAI) Techniques: From rule-based approaches to neural network interpretability, we explore various methods for making AI models more transparent. Examples and case studies illustrate how XAI can enhance educational outcomes. Ethical Considerations: As AI becomes more integrated into education, ethical dilemmas arise. We address issues related to bias, fairness, and accountability, emphasizing responsible AI practices. Future Directions: Our book looks ahead, considering the evolving landscape of AI and its impact on education. We propose research directions and practical steps to promote XAI adoption in educational institutions. 410 0$aInformation Systems Engineering and Management,$x3004-9598 ;$v19 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aEngineering$xData processing 606 $aEducation 606 $aEducation$xData processing 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aData Engineering 606 $aEducation 606 $aComputers and Education 606 $aIntel·ligència artificial$2thub 606 $aProcessament de dades$2thub 606 $aEducació$2thub 608 $aLlibres electrònics$2thub 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aEngineering$xData processing. 615 0$aEducation. 615 0$aEducation$xData processing. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aData Engineering. 615 24$aEducation. 615 24$aComputers and Education. 615 7$aIntel·ligència artificial 615 7$aProcessament de dades 615 7$aEducació 676 $a006.3 700 $aSingh$b Tanu$01777617 701 $aDutta$b Soumi$01365675 701 $aVyas$b Sonali$0992466 701 $aRocha$b Álvaro$01077024 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910913795003321 996 $aExplainable AI for Education: Recent Trends and Challenges$94334052 997 $aUNINA