000			02082 a2200277 4500
005			20250922172225.0
008			241211b |||||||| |||| 00| 0 eng d
020			_a9781032039213
037			_beng
082			_a006.3 _bKenA
100			_aKent, Carmel
245			_aAI for Learning / _cCarmel Kent and Benedict Du Boulay
260			_aBoca Raton: _bCRC Press; _c©2022
300			_axxviii, 103p.
440			_aAI for Everything
505			_aIntroduction: What Is All This about AI in Education? 1 How Do I Tell the Difference between Good AI and Bad?: Or – About Our Five-Step Evaluation of Cake Mixes. 2 AI as a Learner: How Can AI Help Me Learn Things That I Did Not Understand Before? 3 AI as a Tutor: How Can AI Tutor Me about Stuff? 4 AI as a Classroom Moderator: How Can AI Give Me Eyes in the Back of My Head? 5 Conclusion: So, Are We Friends Now? Glossary. Index.
520			_aWhat is artificial intelligence (AI)? How can AI help a learner, a teacher or a system designer? What are the positive impacts of AI on human learning? AI for Learning examines how artificial intelligence can, and should, positively impact human learning, whether it be in formal or informal educational and training contexts. The notion of ‘can’ is bound up with ongoing technological developments. The notion of ‘should’ is bound up with an ethical stance that recognises the complementary capabilities of human and artificial intelligence, as well as the objectives of doing good, not doing harm, increasing justice and maintaining fairness. The book considers the different supporting roles that can help a learner – from AI as a tutor and learning aid to AI as a classroom moderator, among others – and examines both the opportunities and risks associated with each.
650			_aArtificial Intelligence
650			_aCognitive Artificial Intelligence
650			_aHuman Computer Intelligence
650			_aNeural Networks
650			_aRobotics
650			_aGeneral Computing _xPlanning & Development
700			_aBoulay, Benedict Du
942			_cBK
999			_c7177 _d7177