LEADER 01022nam0-22003491i-450- 001 990001441920403321 010 $a3-540-66460-2 035 $a000144192 035 $aFED01000144192 035 $a(Aleph)000144192FED01 035 $a000144192 100 $a20000920d1999----km-y0itay50------ba 101 0 $aeng 200 1 $aSemi-algebraic functions rings and reflectors of partially ordered rings$fNiels Schwartz, James J. Madden 210 $aBerlin$cSpringer$dc1999 215 $ax, 279 p.$d25 cm 225 1 $aLecture Notes in Mathematics$v1712 610 0 $aInsiemi semialgebrici 676 $a512.4 700 1$aSchwartz,$bNiels$062483 702 1$aMadden,$bJames J. 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001441920403321 952 $aC-20-(1712$b17182$fMA1 959 $aMA1 962 $a14P10 962 $a06F25 962 $a13J25 996 $aSemi-algebraic functions rings and reflectors of partially ordered rings$9374704 997 $aUNINA DB $aING01 LEADER 00780nlm 2200277Ia 450 001 996449353103316 005 20211223112059.0 100 $a20160630d1985---- uy 0 101 0 $aeng 102 $aUS 135 $adrcnu 200 1 $aCommand in war$fMartin van Creveld 210 1 $aCambridge, Mass.$cHarvard University Press$d1985 215 $aTesto elettronico (PDF) (VII, 339 p. ) 230 $aBase dati testuale 410 0$aACLS Humanities E-Book. 606 0 $aStrategia$xStoria$2BNCF 676 $a355.4 700 1$aVAN CREVELD,$bMartin$f1946-$0247574 712 02$aAmerican Council of Learned Societies. 801 0$bcba$aIT$bcba$gREICAT 912 $a996449353103316 959 $aEB 969 $aER 996 $aCommand in war$92558298 997 $aUNISA LEADER 05641nam 22006735 450 001 9911015873503321 005 20250702130332.0 010 $a9783031925344$b(electronic bk.) 010 $z9783031925337 024 7 $a10.1007/978-3-031-92534-4 035 $a(MiAaPQ)EBC32189471 035 $a(Au-PeEL)EBL32189471 035 $a(CKB)39567923200041 035 $a(OCoLC)1526859921 035 $a(DE-He213)978-3-031-92534-4 035 $a(EXLCZ)9939567923200041 100 $a20250702d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence, Pedagogy and Academic Integrity /$fedited by Alyson E. King 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (0 pages) 225 1 $aAdvances in Artificial Intelligence in Education,$x3004-9911 ;$v1 311 08$aPrint version: King, Alyson E. Artificial Intelligence, Pedagogy and Academic Integrity Cham : Springer,c2025 9783031925337 327 $aIntroduction -- Part I: The Technology of Generative Artificial Intelligence -- 1. How Large Language Models Work Or: How I Learned to Stop Worrying and Love ChatGPT Patrick Juola -- 2. The Future of Text-Matching Software: From Detecting Artificial Intelligence to Preventing Plagiarism Catherine E. Déri -- 3. ?Releasing Something Dangerous into the Wild?: A Media Ecological Perspective on the GenAI - Academic Integrity Nexus Felix Odartey-Wellington and Sarah MacRae -- Part II: Pedagogy, GenAI, and Academic Integrity -- 4. University instructors? reactions and adjustments to artificial intelligence, one year after the release of ChatGPT Martine Peters and Catherine E. Déri -- 5. Teaching writing in the time of ChatGPT: Rethinking what counts as learning Alyson King and Pariss Garramone -- 6. Surveillance and Guidance: an Academic Integrity Crossway for Humans Using Generative AI Gabriel Dumouchel and Martine Peters -- 7. Questions for GenAI: integrity during the preparation and assessment of educational tasks Artem Artyukhov and Oleksandr Khyzhniak -- Part III: Academic Integrity Policies -- 8. Developing Academic Integrity-Compliant Regulations and Policies on the Use of Generative AI in Higher Education: Insights from the United Kingdom Dimitar Angelov -- 9. Frozen in Time: Croatian Policies on Academic Integrity and GenAI in Higher Education Pegi Pavleti?. 330 $aThis book addresses the implications of artificial intelligence for teaching, learning and academic integrity in higher education. It explores policies about the use of Generative Artificial Intelligence (GenAI), describes how to teach writing in the era of GenAI, and how instructors can design courses and assessments that prevent plagiarism while building the necessary skills for critical thinking and writing. Together, the chapters include research results, case studies, teaching methodologies, course design ideas, analysis of power and gatekeeping, and best practices related to GAI from a diverse range of researchers from English and French Canada, the United States, England, Ukraine and Croatia. The authors approach the advent and rapid spread of GenAI in higher education by examining its use from different perspectives with a particular focus on its impact on academic integrity. Taking a communication studies approach, consideration is given to the role GenAI might play disrupting power structures in universities to improve access for students who are non-traditional or English Language Learners. The book also explores how reimagining teaching methodologies can help to mitigate academic integrity violations due to misuse of GenAI and to teach students to use GenAI with integrity as a research and brainstorming tool. Students need to learn how to assess the reliability of GenAI?s output as the develop the skills for research and writing. Methods of teaching writing and research skills using GenAI are explored in an effort to ensure that critical thinking skills are developed successfully. Most instructors who use writing-intensive assessments believe that essential critical thinking skills are developed via the writing process; often, ideas become concrete as one writes about them. Teaching with GenAI can provide opportunities for instructors to guide their students into a deeper analysis and critique of their research. . 410 0$aAdvances in Artificial Intelligence in Education,$x3004-9911 ;$v1 606 $aEducational technology 606 $aArtificial intelligence 606 $aScience$xMoral and ethical aspects 606 $aTeachers$xTraining of 606 $aTeaching 606 $aDigital Education and Educational Technology 606 $aArtificial Intelligence 606 $aScience Ethics 606 $aTeaching and Teacher Education 606 $aPedagogy 615 0$aEducational technology. 615 0$aArtificial intelligence. 615 0$aScience$xMoral and ethical aspects. 615 0$aTeachers$xTraining of. 615 0$aTeaching. 615 14$aDigital Education and Educational Technology. 615 24$aArtificial Intelligence. 615 24$aScience Ethics. 615 24$aTeaching and Teacher Education. 615 24$aPedagogy. 676 $a371.33 700 $aKing$b Alyson E$01832356 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911015873503321 996 $aArtificial Intelligence, Pedagogy and Academic Integrity$94406482 997 $aUNINA