IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v9y2025issue-3sp7651-7660.html

Beyond the Algorithm: Towards a Human-Centered AI Pedagogy

Author

Listed:
  • Purnomo M Antara

    (Faculty of Business and Management, Universiti Teknologi MARA (UiTM) Cawangan Negeri Sembilan, Kampus Rembau)

  • Raja Mayang Delima Mohd Beta

    (Faculty of Business and Management, Universiti Teknologi MARA (UiTM) Cawangan Negeri Sembilan, Kampus Rembau)

  • Nadhrathul Ain Ibrahim

    (Faculty of Business and Management, Universiti Teknologi MARA (UiTM) Cawangan Negeri Sembilan, Kampus Rembau)

  • Adila Talip

    (Faculty of Business and Management, Universiti Teknologi MARA (UiTM) Cawangan Kedah, Kampus Sungai Petani)

Abstract

The integration of Artificial Intelligence (AI) in education has prompted significant excitement and rapid innovation, yet it also raises critical concerns regarding techno-centrism, where the emphasis on algorithmic efficiency often overshadows humanistic educational goals. This paper proposes a Human-Centered AI Pedagogy (HCAIP) framework, which advocates for a reimagined approach to AI in education, focusing on augmentation, literacy, and connection. By positioning AI as a supportive scaffold that enhances the teacher-student relationship, this framework emphasizes the importance of educators acting as pedagogical designers, ethical guides, and community builders. Within the HCAIP model, students transition from passive consumers of technology to empowered critical agents who engage thoughtfully with AI tools and explore their ethical implications. Furthermore, it challenges the narrative of individualized learning by advocating for collaborative inquiry that fosters creativity and problem-solving skills. The contributions of this conceptual work offer a theoretical roadmap for educators, policymakers, and technologists, guiding the ethical and pedagogically sound integration of AI in educational contexts. Empirical studies are encouraged to test the HCAIP principles in real-world settings and develop specific AI tools that align with its vision. Additionally, research should focus on long-term outcomes regarding student development within this framework. This paper posits that the path of AI in education is not predetermined; by consciously making value-driven decisions, stakeholders can ensure that technology enhances our shared humanity, enriching the educational landscape and promoting holistic growth for all learners.

Suggested Citation

  • Purnomo M Antara & Raja Mayang Delima Mohd Beta & Nadhrathul Ain Ibrahim & Adila Talip, 2025. "Beyond the Algorithm: Towards a Human-Centered AI Pedagogy," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(3s), pages 7651-7660, September.
    • Handle: RePEc:bcp:journl:v:9:y:2025:issue-3s:p:7651-7660
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-9-issue-3s/7651-7660.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijriss/articles/beyond-the-algorithm-towards-a-human-centered-ai-pedagogy/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ninni Singh & Vinit Kumar Gunjan & Amit Kumar Mishra & Ram Krishn Mishra & Nishad Nawaz, 2022. "SeisTutor: A Custom-Tailored Intelligent Tutoring System and Sustainable Education," Sustainability, MDPI, vol. 14(7), pages 1-24, March.
    2. 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.
    3. Yimin Ning & Cheng Zhang & Binyan Xu & Ying Zhou & Tommy Tanu Wijaya, 2024. "Teachers’ AI-TPACK: Exploring the Relationship between Knowledge Elements," Sustainability, MDPI, vol. 16(3), pages 1-23, January.
    Full references (including those not matched with items on IDEAS)

    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. 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. Valentin Kuleto & Milena P. Ilić & Rocsana Bucea-Manea-Țoniş & David-Florin Ciocodeică & Horia Mihălcescu & Veronica Mindrescu, 2022. "The Attitudes of K–12 Schools’ Teachers in Serbia towards the Potential of Artificial Intelligence," Sustainability, MDPI, vol. 14(14), pages 1-12, July.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Aleksandra Klašnja-Milićević & Mirjana Ivanović, 2021. "E-learning Personalization Systems and Sustainable Education," Sustainability, MDPI, vol. 13(12), pages 1-6, June.
    10. 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.
    11. Merve Şahin, 2025. "Analyzing the Foundations of Social Sustainability in Teacher Education: A Study of Self-Regulation, Social-Emotional Expertise, and AI-TPACK," Sustainability, MDPI, vol. 17(19), pages 1-22, September.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. C. Gohr & G. Rodríguez & S. Belomestnykh & D. Berg-Moelleken & N. Chauhan & J.-O. Engler & L. V. Heydebreck & M. J. Hintz & M. Kretschmer & C. Krügermeier & J. Meinberg & A.-L. Rau & C. Schwenck & I. , 2025. "Artificial intelligence in sustainable development research," Nature Sustainability, Nature, vol. 8(8), pages 970-978, August.

    More about this item

    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:bcp:journl:v:9:y:2025:issue-3s:p:7651-7660. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    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.