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Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century
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Zeitschriftentitel: | Sustainability |
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Personen und Körperschaften: | , , , , |
In: | Sustainability, 13, 2021, 2, S. 800 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
MDPI AG
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Schlagwörter: |
author_facet |
Bozkurt, Aras Karadeniz, Abdulkadir Baneres, David Guerrero-Roldán, Ana Elena Rodríguez, M. Elena Bozkurt, Aras Karadeniz, Abdulkadir Baneres, David Guerrero-Roldán, Ana Elena Rodríguez, M. Elena |
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author |
Bozkurt, Aras Karadeniz, Abdulkadir Baneres, David Guerrero-Roldán, Ana Elena Rodríguez, M. Elena |
spellingShingle |
Bozkurt, Aras Karadeniz, Abdulkadir Baneres, David Guerrero-Roldán, Ana Elena Rodríguez, M. Elena Sustainability Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century Management, Monitoring, Policy and Law Renewable Energy, Sustainability and the Environment Geography, Planning and Development |
author_sort |
bozkurt, aras |
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Bozkurt, Aras Karadeniz, Abdulkadir Baneres, David Guerrero-Roldán, Ana Elena Rodríguez, M. Elena 2071-1050 MDPI AG Management, Monitoring, Policy and Law Renewable Energy, Sustainability and the Environment Geography, Planning and Development http://dx.doi.org/10.3390/su13020800 <jats:p>Artificial intelligence (AI) has penetrated every layer of our lives, and education is not immune to the effects of AI. In this regard, this study examines AI studies in education in half a century (1970–2020) through a systematic review approach and benefits from social network analysis and text-mining approaches. Accordingly, the research identifies three research clusters (1) artificial intelligence, (2) pedagogical, and (3) technological issues, and suggests five broad research themes which are (1) adaptive learning and personalization of education through AI-based practices, (2) deep learning and machine Learning algorithms for online learning processes, (3) Educational human-AI interaction, (4) educational use of AI-generated data, and (5) AI in higher education. The study also highlights that ethics in AI studies is an ignored research area.</jats:p> Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century Sustainability |
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Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century |
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Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century |
title_full |
Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century |
title_fullStr |
Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century |
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Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century |
title_short |
Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century |
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artificial intelligence and reflections from educational landscape: a review of ai studies in half a century |
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Management, Monitoring, Policy and Law Renewable Energy, Sustainability and the Environment Geography, Planning and Development |
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http://dx.doi.org/10.3390/su13020800 |
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<jats:p>Artificial intelligence (AI) has penetrated every layer of our lives, and education is not immune to the effects of AI. In this regard, this study examines AI studies in education in half a century (1970–2020) through a systematic review approach and benefits from social network analysis and text-mining approaches. Accordingly, the research identifies three research clusters (1) artificial intelligence, (2) pedagogical, and (3) technological issues, and suggests five broad research themes which are (1) adaptive learning and personalization of education through AI-based practices, (2) deep learning and machine Learning algorithms for online learning processes, (3) Educational human-AI interaction, (4) educational use of AI-generated data, and (5) AI in higher education. The study also highlights that ethics in AI studies is an ignored research area.</jats:p> |
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author | Bozkurt, Aras, Karadeniz, Abdulkadir, Baneres, David, Guerrero-Roldán, Ana Elena, Rodríguez, M. Elena |
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description | <jats:p>Artificial intelligence (AI) has penetrated every layer of our lives, and education is not immune to the effects of AI. In this regard, this study examines AI studies in education in half a century (1970–2020) through a systematic review approach and benefits from social network analysis and text-mining approaches. Accordingly, the research identifies three research clusters (1) artificial intelligence, (2) pedagogical, and (3) technological issues, and suggests five broad research themes which are (1) adaptive learning and personalization of education through AI-based practices, (2) deep learning and machine Learning algorithms for online learning processes, (3) Educational human-AI interaction, (4) educational use of AI-generated data, and (5) AI in higher education. The study also highlights that ethics in AI studies is an ignored research area.</jats:p> |
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spelling | Bozkurt, Aras Karadeniz, Abdulkadir Baneres, David Guerrero-Roldán, Ana Elena Rodríguez, M. Elena 2071-1050 MDPI AG Management, Monitoring, Policy and Law Renewable Energy, Sustainability and the Environment Geography, Planning and Development http://dx.doi.org/10.3390/su13020800 <jats:p>Artificial intelligence (AI) has penetrated every layer of our lives, and education is not immune to the effects of AI. In this regard, this study examines AI studies in education in half a century (1970–2020) through a systematic review approach and benefits from social network analysis and text-mining approaches. Accordingly, the research identifies three research clusters (1) artificial intelligence, (2) pedagogical, and (3) technological issues, and suggests five broad research themes which are (1) adaptive learning and personalization of education through AI-based practices, (2) deep learning and machine Learning algorithms for online learning processes, (3) Educational human-AI interaction, (4) educational use of AI-generated data, and (5) AI in higher education. The study also highlights that ethics in AI studies is an ignored research area.</jats:p> Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century Sustainability |
spellingShingle | Bozkurt, Aras, Karadeniz, Abdulkadir, Baneres, David, Guerrero-Roldán, Ana Elena, Rodríguez, M. Elena, Sustainability, Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century, Management, Monitoring, Policy and Law, Renewable Energy, Sustainability and the Environment, Geography, Planning and Development |
title | Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century |
title_full | Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century |
title_fullStr | Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century |
title_full_unstemmed | Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century |
title_short | Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century |
title_sort | artificial intelligence and reflections from educational landscape: a review of ai studies in half a century |
title_unstemmed | Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century |
topic | Management, Monitoring, Policy and Law, Renewable Energy, Sustainability and the Environment, Geography, Planning and Development |
url | http://dx.doi.org/10.3390/su13020800 |