Authors :
Shweta Jha; Dr. Somu Singh; Rohit Kumar
Volume/Issue :
Volume 11 - 2026, Issue 3 - March
Scribd :
https://tinyurl.com/39shsvdd
DOI :
https://doi.org/10.38124/ijisrt/26mar1763
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The education sector is rebooted with the integration of AI-assisted tools. Therefore, pre-service teachers should
develop AI-assisted TPACK to improve the learning levels of Gen Z and Gen Alpha Kids. The researchers examined the
awareness level of AI-assisted education tools and their use in pedagogical practices. In-depth Interviews of 21 pre-service
teachers have been conducted. The majority of the respondents are passive recipients of AI- assisted tools for education.
Their level of AI-assisted TPACK is very low. To cope with the existing situation, a revolutionary change is required at the
level of the curriculum of teacher education programs, infrastructural features of teacher educational institutes, and last
but not least, the attitude of Teacher Educators towards AI-assisted TPACK.
Keywords :
Active AI Users, Passive Recipients, AI-Assisted TPACK, Adaptive Learning, Real-Time Feedback.
References :
- Adeshola, I., & Adepoju, A. P. (2023). The Opportunities and Challenges of ChatGPT in Education. Interactive Learning Environments, 32(10), 6159–6172. https://doi.org/10.1080/10494820.2023.2253858
- Adekanmbi, A.O., Ninduwezuor-Ehiobu, N., Izuka, U., Abatan, A., Ani, E.C. and Obaigbena, A., 2024. Assessing the environmental health and safety risks of solar energy production. World Journal of Biology Pharmacy and Health Sciences, 17(2), pp.225-231
- Alam, A. (2021, November). Possibilities and apprehensions in the landscape of artificial intelligence in education. In 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA) (pp. 1-8). IEEE.
- AlGerafi, M. A., Zhou, Y., Oubibi, M., & Wijaya, T. T. (2023). Unlocking the potential: A comprehensive evaluation of augmented reality and virtual reality in education. Electronics, 12(18), 3953.
- Celik, I. (2023). Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138, 107468. https://doi.org/10.1016/j.chb.2022.107468
- Cheng, Y.; Zhang, H.; Jackson, D. W.; Lee, I. A.; Brown, N. J. S.; Szendey, O.; Ali, S.; and DiPaola, S. 2020. Raising minoritized middle schoolers’ AI career awareness and adaptability: Findings from two online summer camps. American Educational Research Association 2021
- Chen, X., Tankelevitch, L., Vanukuru, R., Scott, A. E., Panda, P., & Rintel, S. 2025. Are We On Track? AI-Assisted Active and Passive Goal Reflection During Meetings. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (pp. 1-22).
- Collie, R. J., & Martin, A. J. 2024. Teachers’ motivation and engagement to harness generative AI for teaching and learning: The role of contextual, occupational, and background factors. Computers and Education: Artificial Intelligence, 6, 100224. https://doi.org/10.1016/j.caeai.2024.100224
- DiPaola, D.; Ali, S.; Hong, J.; Zhang, H.; Breazeal, C.; and Lee, I. 2020. Youth as Investigators of Bias in Artificial Intelligence. American Educational Research Association 2021
- Druga, S.; Vu, S. T.; Likhith, E.; and Qiu, T. 2019. Inclusive AI literacy for kids around the world. Fablearn’19, March 2019, New York City, NY USA. https://doi.org/10.1145/3311890.3311904
- Fitria, T. N. (2021). ARTIFICIAL INTELLIGENCE (AI) IN EDUCATION: USING AI TOOLS FOR TEACHING AND LEARNING PROCESS. Prosiding Seminar Nasional & Call for Paper STIE AAS, 4(1), Article 1. Retrieved from https://prosiding.stie-aas.ac.id/index.php/prosenas/article/view/106
- Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023). Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration. Journal of Information Technology Case and Application Research, 25(3), 277–304. https://doi.org/10.1080/15228053.2023.2233814
- Greenwald, E.; Leitner, M.; and Wang, N. 2021. Learning Artificial Intelligence: Insights into How Youth Encounter and Build Understanding of AI Concepts. Proceedings of the AAAI Conference on Artificial Intelligence, 35(17), 15526-15533. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/17828
- Hooda,M., Rana,C., Dahiya,O., Rizwan, A., Hossain , M.,S., & Kumar,V.( 2022). "Artificial Intelligence for Assessment and Feedback to Enhance Student Success in Higher Education," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-19, May. DOI: 10.1155/2022/5215722
- Inbar, O., & Tractinsky, N. (2009). The incidental user. Interactions, 16(4), 56–59. Scopus. https://doi.org/10.1145/1551986.1551998
- Jha, S., & Singh, S. (2024). How Do Senior Secondary-Level Students and Their Teachers Perceive Artificial Intelligence and Its Implementation? An Exploratory Study. In H. K, R. V. Rodriguez, M. Rege, V. Piuri, G. Xu, & K.-L. Ong (Eds.), Artificial Intelligence and Knowledge Processing (pp. 30–43). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-68617-7_3
- Lampropoulos, G. (2023). Augmented Reality and Artificial Intelligence in Education: Toward Immersive Intelligent Tutoring Systems. In Augmented Reality and Artificial Intelligence: The Fusion of Advanced Technologies (pp. 137-146). Cham: Springer Nature Switzerland.
- Lee, I., & Perret, B. (2022). Preparing High School Teachers to Integrate AI Methods into STEM Classrooms. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 12783-12791. https://doi.org/10.1609/aaai.v36i11.21557
- Lee, I.; Ali, S.; Zhang, H.; DiPaola, D.; and Breazeal, C. 2021. Developing Middle School Students' AI Literacy. SIGCSE '21: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education. https://doi.org/10.1145/3408877.3432513
- Lee, I. and Ali, S. 2021. The Contour to Classification Game. Proceedings of the AAAI Conference on Artificial Intelligence. 35 (17) 15583-15590. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/17835
- Long, D. and Magerko, B. 2020. What is AI Literacy? Competencies and Design Considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1–16. https://doi.org/10.1145/3313831.3376727
- McCarthy, T., Rosenblum, L. P., Johnson, B. G., Dittel, J., & Kearns, D. M. (2016). An Artificial Intelligence Tutor: A Supplementary Tool for Teaching and Practicing Braille. Journal of Visual Impairment & Blindness, 110(5), 309-322. https://doi.org/10.1177/0145482X1611000503 (Original work published 2016)
- Mishra, P., Oster, N. & Henriksen, D. Generative AI, Teacher Knowledge and Educational Research: Bridging Short- and Long-Term Perspectives. TechTrends 68, 205–210 (2024). https://doi.org/10.1007/s11528-024-00938-1
- Montague, E., & Xu, J. (2012). Understanding active and passive users: The effects of an active user using normal, hard and unreliable technologies on user assessment of trust in technology and co-user. Applied Ergonomics, 43(4), 702–712. https://doi.org/10.1016/j.apergo.2011.11.002
- Ng, D. T. K., Lee, M., Tan, R. J. Y., Hu, X., Downie, J. S., & Chu, S. K. W. (2023). A review of AI teaching and learning from 2000 to 2020. Education and Information Technologies, 28(7), 8445–8501. https://doi.org/10.1007/s10639-022-11491-w
- Pratama, M. P., Sampelolo, R., & Lura, H. (2023). REVOLUTIONIZING EDUCATION: HARNESSING THE POWER OF ARTIFICIAL INTELLIGENCE FOR PERSONALIZED LEARNING. KLASIKAL: JOURNAL OF EDUCATION, LANGUAGE TEACHING AND SCIENCE, 5(2), Article 2. https://doi.org/10.52208/klasikal.v5i2.877
- Romero, M. (2025). From Passive Learning to Co-Creativity: Six Levels of AI-Enhanced Creative Engagement in Education. Preprints. https://doi.org/10.20944/preprints202504.1154.v1
- Uwe Maier, U. & Klotz, C. (2022). Personalized feedback in digital learning environments: Classification framework and literature review. Science Direct Vol 3, 100080, (n.d.). Retrieved September 12, 2024, from https://www.sciencedirect.com/science/article/pii/S2666920X22000352
- Wartman, S. A., & Combs, C. D. (2018). Medical education must move from the information age to the age of artificial intelligence. Academic Medicine, 93(8), pp. 1107–1109.
The education sector is rebooted with the integration of AI-assisted tools. Therefore, pre-service teachers should
develop AI-assisted TPACK to improve the learning levels of Gen Z and Gen Alpha Kids. The researchers examined the
awareness level of AI-assisted education tools and their use in pedagogical practices. In-depth Interviews of 21 pre-service
teachers have been conducted. The majority of the respondents are passive recipients of AI- assisted tools for education.
Their level of AI-assisted TPACK is very low. To cope with the existing situation, a revolutionary change is required at the
level of the curriculum of teacher education programs, infrastructural features of teacher educational institutes, and last
but not least, the attitude of Teacher Educators towards AI-assisted TPACK.
Keywords :
Active AI Users, Passive Recipients, AI-Assisted TPACK, Adaptive Learning, Real-Time Feedback.