Teachers’ Perceptions of AI Classroom Management Tools for Enhancing Personalization and Academic Engagement of Secondary School Students in Ilorin

Teachers’ Perceptions of AI Classroom Management Tools for Enhancing Personalization and Academic Engagement of Secondary School Students in Ilorin

Authors

DOI:

https://doi.org/10.70211/bafr.v1i2.317

Keywords:

AI classroom management, student engagement, personalized instruction, barriers to AI technology adoption

Abstract

The integration of Artificial Intelligence (AI) tools in classroom management is increasingly reshaping instructional practices, particularly in secondary schools. This study investigated the perceptions of teachers in Ilorin, Nigeria, regarding the effectiveness of AI classroom management tools in enhancing academic engagement. It also examined how these tools influence student engagement, support personalized instruction, and the challenges encountered in their use. Guided by the Technological Pedagogical Content Knowledge (TPACK) framework and the Diffusion of Innovations (DOI) theory, the study adopted a descriptive survey design. Data were collected from 150 secondary school teachers using a structured questionnaire and analyzed using descriptive statistics of mean and standard deviation. Findings show that teachers perceive AI tools as effective for engagement and personalized learning. However, concerns about inadequate technical skills, inconsistent infrastructure, and data privacy emerged as significant barriers to adoption. The study further found that while AI tools can enhance differentiated instruction and streamline classroom management, their integration remains limited by teachers’ confidence and institutional readiness. Based on these findings, the study recommends targeted, context-sensitive teacher training, improved technical infrastructure, and the development of clear data governance policies. These measures are crucial for promoting greater teacher buy-in, ensuring the ethical use of AI, and developing sustained engagement with technology-enhanced learning environments.

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Author Biographies

Temitayo Omolara Babalola, University of Ilorin

Department of Educational Technology

Abubakar Usman, Federal College of Education

Department of Curriculum Studies and Educational Technology

Samuel Adenubi Onasanya, University of Ilorin

Department of Educational Technology

E. P. Fasina, Tai Solarin University of Education

Department of Educational Technology

References

L. Shi, A.-C. (Elisha) Ding, and I. Choi, “Investigating Teachers' Use of an AI-Enabled System and Their Perceptions of AI Integration in Science Classrooms: A Case Study,” Educ. Sci., vol. 14, no. 11, p. 1187, Oct. 2024.

https://doi.org/10.3390/educsci14111187

M. Aridan, Irwandani, J. A. Villarama, and A. V. Dela Fuente, “Post-Launch Public Interest in DeepSeek vs. ChatGPT: A Comparative Google Trends Analysis in Indonesia and the Philippines,” Blockchain, Artif. Intell. Futur. Res., vol. 1, no. 1, pp. 1–12, 2025.

https://doi.org/10.70211/bafr.v1i1.166

Y. Walter, “Embracing the Future of Artificial Intelligence in the Classroom: The Relevance of AI Literacy, Prompt Engineering, and Critical Thinking in Modern Education,” Int. J. Educ. Technol. High. Educ., vol. 21, no. 1, p. 15, Feb. 2024.

https://doi.org/10.1186/s41239-024-00448-3

S. Wang, F. Wang, Z. Zhu, J. Wang, T. Tran, and Z. Du, “Artificial Intelligence in Education: A Systematic Literature Review,” Expert Syst. Appl., vol. 252, p. 124167, Oct. 2024.

https://doi.org/10.1016/j.eswa.2024.124167

Gligorea, M. Cioca, R. Oancea, A.-T. Gorski, H. Gorski, and P. Tudorache, “Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review,” Educ. Sci., vol. 13, no. 12, p. 1216, Dec. 2023.

https://doi.org/10.3390/educsci13121216

Z. Wafa and E. F. Sulistyaningsih, “Exploring the Integration of Artificial Intelligence in English Language Teaching: Trends, Challenges, and Pedagogical Implications,” English Educ. Lit. J., vol. 5, no. 01, pp. 119–128, Jan. 2025.

https://doi.org/10.53863/e-jou.v5i01.1509

M. A. Ayanwale, O. P. Adelana, R. R. Molefi, O. Adeeko, and A. M. Ishola, “Examining Artificial Intelligence Literacy among Pre-Service Teachers for Future Classrooms,” Comput. Educ. Open, vol. 6, p. 100179, Jun. 2024.

https://doi.org/10.1016/j.caeo.2024.100179

V. J. Owan, C. O. Chukwu, V. U. Agama, T. J. Owan, J. O. Ogar, and I. J. Etorti, “Acceptance and Use of Artificial Intelligence for Self-Directed Research Learning among Postgraduate Students in Nigerian Public Universities,” Discov. Educ., vol. 4, no. 1, p. 329, Aug. 2025.

https://doi.org/10.1007/s44217-025-00770-6

M. Oubibi, A. Fute, D. Kangwa, A. A. Barakabitze, and M. A. Adarkwah, “Interactive Technologies in Online Teacher Education in Africa: A Systematic Review 2014–2024,” Educ. Sci., vol. 14, no. 11, p. 1188, Oct. 2024.

https://doi.org/10.3390/educsci14111188

X. Tan, G. Cheng, and M. H. Ling, “Artificial Intelligence in Teaching and Teacher Professional Development: A Systematic Review,” Comput. Educ. Artif. Intell., vol. 8, p. 100355, Jun. 2025.

https://doi.org/10.1016/j.caeai.2024.100355

D. A. Schmidt, B. Alboloushi, A. Thomas, and R. Magalhaes, “Integrating Artificial Intelligence in Higher Education: Perceptions, Challenges, and Strategies for Academic Innovation,” Comput. Educ. Open, vol. 9, p. 100274, Dec. 2025.

https://doi.org/10.1016/j.caeo.2025.100274

H. Yaseen et al., “The Impact of Adaptive Learning Technologies, Personalized Feedback, and Interactive AI Tools on Student Engagement: The Moderating Role of Digital Literacy,” Sustainability, vol. 17, no. 3, p. 1133, Jan. 2025.

https://doi.org/10.3390/su17031133

F. Shahzad, Z. B. Avunduk, Z. Ullah, and A. Arslan, “Understanding Management Educators' Perspectives on AI Adoption: A Qualitative Study,” Int. J. Manag. Educ., vol. 23, no. 3, p. 101274, Dec. 2025.

https://doi.org/10.1016/j.ijme.2025.101274

M. Vieriu and G. Petrea, “The Impact of Artificial Intelligence (AI) on Students' Academic Development,” Educ. Sci., vol. 15, no. 3, p. 343, Mar. 2025.

https://doi.org/10.3390/educsci15030343

Hazzan-Bishara, O. Kol, and S. Levy, “The Factors Affecting Teachers' Adoption of AI Technologies: A Unified Model of External and Internal Determinants,” Educ. Inf. Technol., vol. 30, no. 11, pp. 15043–15069, Jul. 2025.

https://doi.org/10.1007/s10639-025-13393-z

Y. C. Shin and C. Kim, “Pedagogical Competence Analysis Based on the TPACK Model: Focus on VR-Based Survival Swimming Instructors,” Educ. Sci., vol. 14, no. 5, p. 460, Apr. 2024.

https://doi.org/10.3390/educsci14050460

M. Yue, M. S.-Y. Jong, and D. T. K. Ng, “Understanding K-12 Teachers’ Technological Pedagogical Content Knowledge Readiness and Attitudes toward Artificial Intelligence Education,” Educ. Inf. Technol., vol. 29, no. 15, pp. 19505–19536, Oct. 2024.

https://doi.org/10.1007/s10639-024-12621-2

M. A. Ayanwale and M. Ndlovu, “Investigating Factors of Students’ Behavioral Intentions to Adopt Chatbot Technologies in Higher Education: Perspective from Expanded Diffusion Theory of Innovation,” Comput. Hum. Behav. Reports, vol. 14, p. 100396, May 2024.

https://doi.org/10.1016/j.chbr.2024.100396

R. Frei-Landau, Y. Muchnik-Rozanov, and O. Avidov-Ungar, “Using Rogers’ Diffusion of Innovation Theory to Conceptualize the Mobile-Learning Adoption Process in Teacher Education in the COVID-19 Era,” Educ. Inf. Technol., vol. 27, no. 9, pp. 12811–12838, Nov. 2022.

https://doi.org/10.1007/s10639-022-11148-8

T. Greenhalgh, G. Robert, F. Macfarlane, P. Bate, and O. Kyriakidou, “Diffusion of Innovations in Service Organizations: Systematic Review and Recommendations,” Milbank Q., vol. 82, no. 4, pp. 581–629, Dec. 2004.

https://doi.org/10.1111/j.0887-378X.2004.00325.x

M. R. Mohd Amin, I. Ismail, and V. M. Sivakumaran, “Revolutionizing Education with Artificial Intelligence (AI)? Challenges, and Implications for Open and Distance Learning (ODL),” Soc. Sci. Humanit. Open, vol. 11, p. 101308, 2025.

https://doi.org/10.1016/j.ssaho.2025.101308

D. T. K. Ng, J. K. L. Leung, J. Su, R. C. W. Ng, and S. K. W. Chu, “Teachers' AI Digital Competencies and Twenty-First Century Skills in the Post-Pandemic World,” Educ. Technol. Res. Dev., vol. 71, no. 1, pp. 137–161, Feb. 2023.

https://doi.org/10.1007/s11423-023-10203-6

Y. Li and Y. Chai, “Bridging Regional Disparities through AI-Driven Personalized Learning Paths: Evidence from Chinese High School Education,” Interact. Learn. Environ., pp. 1–16, Jul. 2025.

https://doi.org/10.1080/10494820.2025.2523388

Kovari, “A Systematic Review of AI-Powered Collaborative Learning in Higher Education: Trends and Outcomes from the Last Decade,” Soc. Sci. Humanit. Open, vol. 11, p. 101335, 2025.

https://doi.org/10.1016/j.ssaho.2025.101335

T. Fütterer et al., “Artificial Intelligence in Classroom Management: A Systematic Review on Educational Purposes, Technical Implementations, and Ethical Considerations,” Comput. Educ. Artif. Intell., vol. 9, p. 100483, Dec. 2025.

https://doi.org/10.1016/j.caeai.2025.100483

S. J. Calderwood, “Surveillance Digitisation, Performativity, and Teacher-Student Relationships in a Blended Learning Setting,” Postdigital Sci. Educ., Jan. 2025.

https://doi.org/10.1007/s42438-024-00537-6

O. Filiz, M. H. Kaya, and T. Adiguzel, “Teachers and AI: Understanding the Factors Influencing AI Integration in K-12 Education,” Educ. Inf. Technol., vol. 30, no. 13, pp. 17931–17967, Aug. 2025.

https://doi.org/10.1007/s10639-025-13463-2

J. Laru, I. Celik, I. Jokela, and K. Mäkitalo, “The Antecedents of Pre-Service Teachers’ AI Literacy: Perceptions about Own AI Driven Applications, Attitude towards AI and Knowledge in Machine Learning,” Eur. J. Teach. Educ., pp. 1–23, Aug. 2025.

https://doi.org/10.1080/02619768.2025.2535623

O. Omotayo et al., “Artificial Intelligence in Agriculture: Ethics, Impact Possibilities, and Pathways for Policy,” Comput. Electron. Agric., vol. 239, p. 110927, Dec. 2025.

https://doi.org/10.1016/j.compag.2025.110927

N. Jørgensen and Z. G. Ma, “Impact of EU Regulations on AI Adoption in Smart City Solutions: A Review of Regulatory Barriers, Technological Challenges, and Societal Benefits,” Information, vol. 16, no. 7, p. 568, Jul. 2025.

https://doi.org/10.3390/info16070568

Y. Xue, V. Chinapah, and C. Zhu, “A Comparative Analysis of AI Privacy Concerns in Higher Education: News Coverage in China and Western Countries,” Educ. Sci., vol. 15, no. 6, p. 650, May 2025.

https://doi.org/10.3390/educsci15060650

Zhai, S. Wibowo, and L. D. Li, “The Effects of Over-Reliance on AI Dialogue Systems on Students’ Cognitive Abilities: A Systematic Review,” Smart Learn. Environ., vol. 11, no. 1, p. 28, Jun. 2024.

https://doi.org/10.1186/s40561-024-00316-7

R. Taheri, N. Nazemi, S. E. Pennington, J. A. Clark, and F. Dadgostari, “Factors Influencing Educators’ AI Adoption: A Grounded Meta-Analysis Review,” Comput. Educ. Artif. Intell., vol. 9, p. 100464, Dec. 2025.

https://doi.org/10.1016/j.caeai.2025.100464

Petko, P. Mishra, and M. J. Koehler, “TPACK in Context: An Updated Model,” Comput. Educ. Open, vol. 8, p. 100244, Jun. 2025.

https://doi.org/10.1016/j.caeo.2025.100244

J. A. García-Avilés, “Diffusion of Innovation,” in The International Encyclopedia of Media Psychology, Wiley, 2020, pp. 1–8.

https://doi.org/10.1002/9781119011071.iemp0137

N. Tusquellas, R. Palau, and R. Santiago, “Analysis of the Potential of Artificial Intelligence for Professional Development and Talent Management: A Systematic Literature Review,” Int. J. Inf. Manag. Data Insights, vol. 4, no. 2, p. 100288, Nov. 2024.

https://doi.org/10.1016/j.jjimei.2024.100288

M. Zaim et al., “Generative AI as a Cognitive Co-Pilot in English Language Learning in Higher Education,” Educ. Sci., vol. 15, no. 6, p. 686, Jun. 2025.

https://doi.org/10.3390/educsci15060686

R. Scherer, S. K. Howard, J. Tondeur, and F. Siddiq, “Profiling Teachers’ Readiness for Online Teaching and Learning in Higher Education: Who’s Ready?,” Comput. Human Behav., vol. 118, p. 106675, May 2021.

https://doi.org/10.1016/j.chb.2020.106675

M. Aridan, U. Hijriyah, K. N. Khabibjonovna, H. Geng, I. Azad, and T. Elyas, “Pre-Service Language Teachers’ Readiness for Deep Learning Approaches: Insights from a Cross-Regional Study in Asia,” LLT J. A J. Lang. Lang. Teach., vol. 28, no. 2, pp. 527–551, Sep. 2025.

https://doi.org/10.24071/llt.v28i2.12274

S. Bianchini, M. Müller, and P. Pelletier, “Drivers and Barriers of AI Adoption and Use in Scientific Research,” Technol. Forecast. Soc. Change, vol. 220, p. 124303, Nov. 2025.

https://doi.org/10.1016/j.techfore.2025.124303

J. Kim, H. Lee, and Y. H. Cho, “Learning Design to Support Student-AI Collaboration: Perspectives of Leading Teachers for AI in Education,” Educ. Inf. Technol., vol. 27, no. 5, pp. 6069–6104, Jun. 2022.

https://doi.org/10.1007/s10639-021-10831-6

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Published

2025-11-20

How to Cite

Omolara Babalola, T., Usman, A., Onasanya, S. A., & Fasina, E. P. (2025). Teachers’ Perceptions of AI Classroom Management Tools for Enhancing Personalization and Academic Engagement of Secondary School Students in Ilorin. Blockchain, Artificial Intelligence, and Future Research, 1(2), 84–100. https://doi.org/10.70211/bafr.v1i2.317
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