Theoretical Foundations of Gen AI-informed Teacher Pedagogy
Keywords:
Human Rights, Cultural relativism, Human rights watch, Inherited, Male guardianship, Al Shafallah., justice., Justice Administration, Courts of First Instance, Court Organisation, Judicial Institution, Integration, Pedagogy, Generative Artificial Intelligence (GenAI), posthumanistAbstract
The integration of Generative Artificial Intelligence (GenAI) into educational pedagogy represents a transformative shift in the dynamics of teaching and learning. To guide this transition, this paper introduces the Ped-AI-gogy Informed Model (PIM), which combines established educational frameworks: the Technology Acceptance Model (TAM), the SAMR model, and Technological Pedagogical Content Knowledge (TPACK), into a cohesive approach for GenAI integration. This model provides a progressive pathway for educators, moving from initial awareness to active advocacy, while addressing the complexities of technology adoption, pedagogical change, and shifting educator-learner relationships.
In addition, this paper develops the theoretical foundation of “ped-AI-gogy”, a concept that fuses pedagogy with AI to reimagine teaching practices in an increasingly digital landscape. By situating this integration within a posthumanist perspective, the authors advocate for a collaborative, symbiotic relationship among educators, students and GenAI tools. Finally, the paper critiques traditional human-centred educational paradigms and calls for adaptive learning models that harness GenAI potential to enhance both teaching and learner agency
References
A. Houson (2002) Aesthetic thought, critical thinking and transfer. 18(1), 99-132.
P. Hubbard, M. Levy (2006) Teacher education in CALL.
G. Ilieva, T. Yankova, S. Klisarova-Belcheva, A. Dimitrov, M. Bratkov, D. Angelov (2023) Effects of Generative Chatbots in Higher Education. 14(9), 492. https://doi.org/10.3390/info14090492
A. Kirkwood, L. Price (2014) Technology-enhanced learning and teaching in higher education: what is 'enhanced' and how do we know? A critical literature review. 39(1), 6-36.
A. Jančařík, J. Michal, J. Novotná (2023) Using AI Chatbot for Math Tutoring. 2, 285-296.
A. Jančařík, J. Novotná, J. Michal (2022) Artificial Intelligence Assistant for Mathematics Education. 143-148.
A. Jančařík, J. Michal, J. Novotná (2022) Criteria for Classification of Digital Educational Materials and AI. 45-51.
A. Kass, D. Leake (1987) Types of explanations. https://apps.dtic.mil/sti/tr/pdf/ADA183253.pdf
F. Kehoe (2023) Leveraging Generative AI Tools for Enhanced Lesson Planning in Initial Teacher Education at Post-Primary. 7(2), 172-182.
G. Khalil, H. Sajjad, M. Sohail, Z. Ishfaq (2023) Role of AI in the Education Sector in the Kingdom of Bahrain.
N. Kim, M. Kim (2022) Teachers' Perceptions of Using an Artificial Intelligence-Based Educational Tool for Scientific Writing. 7, 1-13. https://doi.org/10.3389/feduc.2022.755914
J. Knox (2021) Posthumanism and educational research.
G. Kress (2010) Multimodality - A social semiotic approach to contemporary communication.
A. Krumm, B. Means, M. Bienkowski (2018) Learning analytics goes to school: A collaborative approach to improving education.
T. Kulesza, S. Stumpf, M. Burnett, S. Yang, I. Kwan, W. Wong (2013) Too much, too little, or just right? Ways explanations impact end users' mental models. 3-10. https://doi.org/10.1109/VLHCC.2013.6645235
K. Laskova (2021) 21st Century Teaching and Learning with Technology: A Critical Commentary.
B. Latour (2020) Where are we? Sociology after the posthuman turn.
N. D. Lawrence (2024) The Atomic Human: Understanding Ourselves in the Age of AI.
K. Lee (2018) AI Superpowers: China, Silicon Valley and the New World Order.
S. Lee, B. Mott, A. Ottenbreit-Leftwich, A. Scribner, S. Taylor, K. Park (2021) AI-infused collaborative inquiry in upper elementary school: A game-based learning approach. 35(17), 15591-99.
M. Levy, G. Stockwell (2006) CALL dimensions: Options and issues in computer assisted language learning.
E. Lim (2015) Factors influencing young children's social interaction in technology integration. 23(4), 545-562.
M. Littman, I. Ajunwa, G. Berger, C. Boutilier, M. Currie, F. Doshi-Velez (2022) Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report. https://doi.org/10.48550/arXiv.2210.15767
J. Locke (1898) Some Thoughts Concerning Education.
R. Luckin, W. Holmes, M. Griffiths, L. B. Forcier (2023) Intelligence unleashed: An argument for AI in education.
A. Matthews, A. Smith, C. Smith, A. Hart (2022) Description of a student success program to increase support, coping, and self-efficacy among under-represented minority nursing students in the wake of the dual pandemics of COVID-19 and racial violence. 43, 42-52.
C. Mercader, J. Gairín (2020) University teachers' perception of barriers to the use of digital technologies: the importance of academic discipline. 17(4), 1-14. https://doi.org/10.1186/s41239-020-0182-x
P. Mertala, S. López-Pernas, H. Vartiainen, M. Saqr, M. Tedre (2024) Digital natives in the scientific literature: A topic modelling approach. 152, 1-12.
F. Miao, W. Holmes (2023) UNESCO Guidance for generative AI in education and research. https://unesdoc.unesco.org/ark:/48223/pf0000386693
R. Miettinen (2006) Epistemology of material transformative activity: John Dewey's pragmatism and cultural-historical activity theory. 36(4), 389-408.
P. Mishra, M. Warr, R. Islam (2023) TPACK in the age of ChatGPT and Generative AI. 39(4), 235-251. https://doi.org/10.1080/21532974.2023.2247480
L. M. Müller, G. Goldenberg (2021) Education in times of crisis: Effective approaches to distance learning. https://chartered.college/wp-content/uploads/2021/11/MullerGoldenbergSUMMARY_NOV21.pdf
H. Niemi (2021) AI in learning: Preparing grounds for future learning. 15, 1-12.
H. Niemi, P. Kousa (2020) A case study of students' and teachers' perceptions in a Finnish high school during the COVID pandemic. 4(4), 352-369.
F. I. Niethammer (1808) Der Streit des Philanthropinismus und Humanismus in der Theorie des Erziehungs-Terrichts unserer Zeit (1. Auflage).
Y. Ning, C. Zhang, B. Xu, Y. Zhou, T. T. Wijaya (2024) Teachers' AI-TPACK: Exploring the Relationship between Knowledge Elements. 16(3), 978. https://doi.org/10.3390/su16030978
R. O'Dowd (2007) Online intercultural exchange: An introduction for foreign language teachers.
(2022) Research review series: computing. https://www.gov.uk/government/publications/research-review-series-computing/research-re
S. Oh, Y. Ahn (2024) Exploring Teachers' Perception of Artificial Intelligence: The Socio-emotional Deficiency as Opportunities and Challenges in Human-AI Complementarity in K-12 Education. https://doi.org/10.48550/arXiv.2405.13065
D. Parmenter (2019) Make way for the AI natives. https://www.ciodive.com/news/make-way-for-the-ai-natives/557395/
A. Parton, D. Newton, L. Newton (2017) The implementation of objecto-centred learning through the isual arts: Engaging students in creative, problem-based learning. 13(2), 147-162.
I. Pesek, N. Nosović, M. Krašna (2021) The Role of AI in the Education and for the Education.
C. Peirce (1991) Peirce on signs: Writings on semiotic.
J. Piaget (1976) The Child and Reality: Problems of Genetic Psychology.
S. Poçan, B. Altay, C. Yasaroglu (2023) The Effects of Mobile Technology on Learning Performance and Motivation in Mathematics Education. 28, 683-712.
N. Postman (1993) Technopoly: The Surrender of Culture to Technology.
B.M. Pratschke (2024) The New Hybrid. https://doi.org/10.1007/978-3-031-67991-9_3
M. Prensky (2001) Digital Natives, Digital Immigrants. 9(5), 1-6.
J. Prown (1982) Mind in matter: an introduction to material culture theory and method. 17(1), 1-19. https://doi.org/10.1086/496065
R. Puentedura (2006) Transformation, technology, and education. http://hippasus.com/resources/tte/
A. Rachha, M. Seyman (2023) Explainable A.I. in Education: Current Trends, Challenges and Opportunities.
N. Rajakishore, M. Riya (2023) From posthumanism to ethics of artificial intelligence. 38(1), 185-196.
J. Ramirez, W. Yu (2023) Reinforcement learning from expert demonstrations with application to redundant robot control. 1191. https://doi.org/10.1016/j.engappai.2022.105753
E. Ranken, D. Wyse, Y. Manyukhina, A. Bradbury (2024) The effect of experiential learning on academic achievement of children aged 4-14: A rapid evidence assessment. https://doi.org/10.1002/curj.304
J. Roschelle, J. Lester, J. Fusco (2020) AI and the future of learning: Expert panel Report. https://circls.org/reports/ai-report
P. Ryan (2009) Peirce's semeiotic and the implications for Aesthetics in the visual arts: a study of the sketchbook and its positions in the hierarchies of making, collecting and exhibiting. http://ualresearchonline.art.ac.uk/5252/
I. Sanusi, S. Oyelere, J. Omidiora (2022) Exploring teachers' preconceptions of teaching machine learning in high school: A preliminary insight from Africa. 3, 100072. https://doi.org/10.1016/j.caeo.2021.100072
N. Selwyn (2020) Education and Technology: Key Issues and Debates.
S. Slater, S. Joksimovic, V. Kovanovic, R. Baker, D. Gasevic (2017) Tools for educational data mining: A review. 42(1), 85-106.
A. Suresh, T. Sumner, J. Jacobs, B. Foland, W. Ward (2019) Automating Analysis and Feedback to Improve Mathematics Teachers' Classroom Discourse. 33(1), 9721-9728.
T. Sydon, S. Phuntsho (2022) Highlighting the importance of STEM education in early childhood through play-based learning: A Literature Review. 22(1). https://doi.org/10.171
V. Taranikanti, C. Davidson (2023) Metacognition through an Iterative Anatomy AI Chatbot: An Innovative Playing Field for Educating the Future Generation of Medical Students. 2(3), 271-281. https://doi.org/10.3390/anatomia2030025
M. Tegmark (2018) Life 3.o: Being Human in the Age of Artificial Intelligence.
M. Timms (2016) Letting artificial intelligence in education out of the box: Educational cobots and smart classrooms. 26, 701-712.
W. Trahan, R. De Almeida Ramos, J. Zollars, W. Tang, S. Romero, C. Tananis (2020) Making Success: Researching a School District's Integration of the Maker Movement into Its Middle and High School.
P. Tynjala (1999) Towards expert knowledge: A comparison between higher education and working life. 18(3), 353-368.
P. Urlaub, E. Dessein (2022) From disrupted classrooms to human-machine collaboration? The pocket calculator, Google translate, and the future of language education. 14(1), 45-59. https://doi.org/10.5070/L214151790
V. Venkatesh, F. Davis (1996) A model of the antecedents of perceived ease of use: Development and test. 27(3), 451-481.
V. Venkatesh, F. Davis (2000) A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. 46(2), 186-204.
V. Venkatesh, F. Davis, M. Morris (2007) Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research. 8(4), 267-286.
L. Vygotsky (1978) Mind in society: The development of higher psychological processes.
R. Wegerif, L. Major (2023) The Theory of Educational Technology: Towards a Dialogic Foundation for Design. https://doi.org/10.4324/9781003198499
G. White (2020) Adaptive Learning Technology Relationships with Student Learning Outcomes. 19, 113-130.
J. Williams (2018) It just grinds you down. Persistent disruptive behaviour in schools and what can be done about it. https://policyexchange.org.uk/wp-content/uploads/2019/01/It-Just-Grinds-You-Down-Joanna-Williams-Policy-Exchange-December-2018.pdf
J. Wilson, A. Rutherford (1989) Mental models: Theory and application in human factors. 31(6), 617-634.
M. Wolf (2022) Interconnection between constructs and consequences: a key validity consideration in K-12 English language proficiency assessments. 12(44). https://doi.org/10.1186/s40468-022-00194-1
A. Wood, J. Wren, D. Allison (2019) The Need for Greater Rigor in Childhood Nutrition and Obesity Research. 173(4), 311-312.
K. Woodruff, J. Hutson, K. Arnone (2023) Perceptions and Barriers to Adopting Artificial Intelligence in K-12 Education: A Survey of Educators in Fifty States.
Z. Xu (2024) AI in education: Enhancing learning experiences and student outcomes. https://doi.org/10.54254/2755-2721/51/2024
P. Yenawine (1999) Theory into practice: the visual thinking strategies. https://vtshome.org/wp-content/uploads/2016/08/9-Theory-into-Practice.pdf
M. Young (2008) Bringing knowledge back, in: From social constructivism to social realism in the sociology of education.
Y. Zhang, A. Aslan (2021) AI technologies for education: recent research and future directs. 2(2). https://doi.org/10.1016/j.caeai.2021.100025
B. Zimmerman (2000) Attaining self-regulation: A social cognitive perspective. 13-39.
G. Zimotti, C. Frances, L. Whitaker (2024) The Future of Language Education: Teachers' Perceptions About the Surge of Large Language Models like ChatGPT. 6(2), 1-24.
J. Zylinska (2002) The Cyborg experiments: The extensions of the body in the media age.
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