IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i2p800-d480888.html
   My bibliography  Save this article

Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century

Author

Listed:
  • Aras Bozkurt

    (Open Education Faculty, Anadolu University, 26470 Eskişehir, Turkey
    College of Human Sciences, University of South Africa (UNISA), Pretoria 0003, South Africa)

  • Abdulkadir Karadeniz

    (Open Education Faculty, Anadolu University, 26470 Eskişehir, Turkey
    eLearn Center, Universitat Oberta de Catalunya, 08018 Barcelona, Spain)

  • David Baneres

    (eLearn Center, Universitat Oberta de Catalunya, 08018 Barcelona, Spain
    Faculty of Computer Science, Multimedia and Telecommunications, Universitat Oberta de Catalunya, 08018 Barcelona, Spain)

  • Ana Elena Guerrero-Roldán

    (eLearn Center, Universitat Oberta de Catalunya, 08018 Barcelona, Spain
    Faculty of Computer Science, Multimedia and Telecommunications, Universitat Oberta de Catalunya, 08018 Barcelona, Spain)

  • M. Elena Rodríguez

    (eLearn Center, Universitat Oberta de Catalunya, 08018 Barcelona, Spain
    Faculty of Computer Science, Multimedia and Telecommunications, Universitat Oberta de Catalunya, 08018 Barcelona, Spain)

Abstract

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.

Suggested Citation

  • Aras Bozkurt & Abdulkadir Karadeniz & David Baneres & Ana Elena Guerrero-Roldán & M. Elena Rodríguez, 2021. "Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:800-:d:480888
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/2/800/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/2/800/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ken Crofts & Jayne Bisman, 2010. "Interrogating accountability," Qualitative Research in Accounting & Management, Emerald Group Publishing Limited, vol. 7(2), pages 180-207, June.
    2. Antonio Hernández-Blanco & Boris Herrera-Flores & David Tomás & Borja Navarro-Colorado, 2019. "A Systematic Review of Deep Learning Approaches to Educational Data Mining," Complexity, Hindawi, vol. 2019, pages 1-22, May.
    3. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wala Bagunaid & Naveen Chilamkurti & Ahmad Salehi Shahraki & Saeed Bamashmos, 2024. "Visual Data and Pattern Analysis for Smart Education: A Robust DRL-Based Early Warning System for Student Performance Prediction," Future Internet, MDPI, vol. 16(6), pages 1-25, June.
    2. Gizéh Rangel-de Lázaro & Josep M. Duart, 2023. "You Can Handle, You Can Teach It: Systematic Review on the Use of Extended Reality and Artificial Intelligence Technologies for Online Higher Education," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    3. Aleksandra Klašnja-Milićević & Mirjana Ivanović, 2021. "E-learning Personalization Systems and Sustainable Education," Sustainability, MDPI, vol. 13(12), pages 1-6, June.
    4. Abdulrahman M. Al-Zahrani & Talal M. Alasmari, 2024. "Exploring the impact of artificial intelligence on higher education: The dynamics of ethical, social, and educational implications," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    5. Alexander Amigud & David J. Pell, 2025. "Responsible and Ethical Use of AI in Education: Are We Forcing a Square Peg into a Round Hole?," World, MDPI, vol. 6(2), pages 1-18, June.
    6. Chih-Chang Yu & Yufeng (Leon) Wu, 2021. "Early Warning System for Online STEM Learning—A Slimmer Approach Using Recurrent Neural Networks," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
    7. Rocsana Bucea-Manea-Țoniş & Valentin Kuleto & Simona Corina Dobre Gudei & Costin Lianu & Cosmin Lianu & Milena P. Ilić & Dan Păun, 2022. "Artificial Intelligence Potential in Higher Education Institutions Enhanced Learning Environment in Romania and Serbia," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    8. Vikrant Vikram Singh & Nishant Kumar & Shailender Singh & Meenakshi Kaul & Aditya Kumar Gupta & P. K. Kapur, 2024. "Assessment of artificial intelligence-based digital learning systems in higher education amid the pandemic using analytic hierarchy," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(8), pages 4069-4084, August.
    9. Dawool Jung & Sungeun Suh, 2024. "Enhancing Soft Skills through Generative AI in Sustainable Fashion Textile Design Education," Sustainability, MDPI, vol. 16(16), pages 1-21, August.
    10. Daina Gudoniene & Evelina Staneviciene & Vytautas Buksnaitis & Nicola Daley, 2023. "The Scenarios of Artificial Intelligence and Wireframes Implementation in Engineering Education," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    11. Rustam Shadiev & Wayan Sintawati & Nurassyl Kerimbayev & Fahriye Altinay, 2024. "Systematic Review (2003–2023): Exploring Technology-Supported Cross-Cultural Learning through Review Studies," Sustainability, MDPI, vol. 16(2), pages 1-36, January.
    12. Jennie C. De Gagne, 2023. "The State of Artificial Intelligence in Nursing Education: Past, Present, and Future Directions," IJERPH, MDPI, vol. 20(6), pages 1-4, March.
    13. Sunghwan Hwang, 2022. "Examining the Effects of Artificial Intelligence on Elementary Students’ Mathematics Achievement: A Meta-Analysis," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    14. Florin-Valeriu Pantelimon & Razvan Bologa & Andrei Toma & Bogdan-Stefan Posedaru, 2021. "The Evolution of AI-Driven Educational Systems during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(23), pages 1-10, December.
    15. Ajda Fošner, 2024. "University Students’ Attitudes and Perceptions towards AI Tools: Implications for Sustainable Educational Practices," Sustainability, MDPI, vol. 16(19), pages 1-15, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dr. Chris Daniel Wong & Dr. Nicole Foo & Dr. Stephen T. Homer & Dr. Chua Keng Soon & Dr. Soon Ee Hooi, 2025. "AI Unlocking the Potential of NGOs," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(7), pages 5184-5197, July.
    2. Henrik Skaug Sætra, 2021. "AI in Context and the Sustainable Development Goals: Factoring in the Unsustainability of the Sociotechnical System," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    3. Xi Liu & Yugang He & Renhong Wu, 2024. "Revolutionizing Environmental Sustainability: The Role of Renewable Energy Consumption and Environmental Technologies in OECD Countries," Energies, MDPI, vol. 17(2), pages 1-21, January.
    4. Jinyi Li & Zhen Liu & Guizhong Han & Peter Demian & Mohamed Osmani, 2024. "The Relationship Between Artificial Intelligence (AI) and Building Information Modeling (BIM) Technologies for Sustainable Building in the Context of Smart Cities," Sustainability, MDPI, vol. 16(24), pages 1-38, December.
    5. Gianluca MISURACA & Colin van Noordt, 2020. "AI Watch - Artificial Intelligence in public services: Overview of the use and impact of AI in public services in the EU," JRC Research Reports JRC120399, Joint Research Centre.
    6. Martins, Flavio Pinheiro & De-León Almaraz, Sofía & Botelho Junior, Amilton Barbosa & Azzaro-Pantel, Catherine & Parikh, Priti, 2024. "Hydrogen and the sustainable development goals: Synergies and trade-offs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 204(C).
    7. Fabian Dvorak & Regina Stumpf & Sebastian Fehrler & Urs Fischbacher, 2024. "Generative AI Triggers Welfare-Reducing Decisions in Humans," Papers 2401.12773, arXiv.org.
    8. Sergio Genovesi & Julia Maria Mönig, 2022. "Acknowledging Sustainability in the Framework of Ethical Certification for AI," Sustainability, MDPI, vol. 14(7), pages 1-10, March.
    9. Tan Yigitcanlar & Rashid Mehmood & Juan M. Corchado, 2021. "Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    10. Wang, Weilong & Xiao, Deheng & Wang, Jianlong & Wu, Haitao, 2024. "The cost of pollution in the digital era: Impediments of air pollution on enterprise digital transformation," Energy Economics, Elsevier, vol. 134(C).
    11. M. Eshaq Stanikzai & Ella Mittal, 2025. "Leveraging AI-generated and human-generated content for maximized user engagement in contentpreneurs’ innovation and creativity," Journal of Innovation and Entrepreneurship, Springer, vol. 14(1), pages 1-28, December.
    12. Kim, Myung Ja & Hall, C. Michael & Kwon, Ohbyung & Sohn, Kwonsang, 2024. "Space tourism: Value-attitude-behavior theory, artificial intelligence, and sustainability," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    13. ODEH, Joseph PhD, 2024. "Exploring AI Applications to Foster Healthy Shopping Habits in Nigerian Retail," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(3s), pages 5382-5393, November.
    14. Ricardo Vinuesa & Soledad Le Clainche, 2022. "Machine-Learning Methods for Complex Flows," Energies, MDPI, vol. 15(4), pages 1-5, February.
    15. Qian, Yu & Xu, Zeshui & Qin, Yong & Gou, Xunjie & Skare, Marinko, 2023. "Measuring the varying relationships between sustainable development and oil booms in different contexts: An empirical study," Resources Policy, Elsevier, vol. 85(PB).
    16. Wu, Mao-Ying & Wall, Geoffrey & Pearce, Philip L., 2014. "Shopping experiences: International tourists in Beijing's Silk Market," Tourism Management, Elsevier, vol. 41(C), pages 96-106.
    17. Krzysztof Rusek & Agnieszka Kleszcz & Albert Cabellos-Aparicio, 2022. "Bayesian inference of spatial and temporal relations in AI patents for EU countries," Papers 2201.07168, arXiv.org.
    18. Hanna Obracht-Prondzyńska & Ewa Duda & Helena Anacka & Jolanta Kowal, 2022. "Greencoin as an AI-Based Solution Shaping Climate Awareness," IJERPH, MDPI, vol. 19(18), pages 1-25, September.
    19. Wang, Bo & Wang, Jianda & Dong, Kangyin & Nepal, Rabindra, 2024. "How does artificial intelligence affect high-quality energy development? Achieving a clean energy transition society," Energy Policy, Elsevier, vol. 186(C).
    20. Gianluca Biggi & Martina Iori & Julia Mazzei & Andrea Mina, 2025. "Green intelligence: the AI content of green technologies," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(3), pages 803-840, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:800-:d:480888. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.